docs: translate full Chinese docs to English — match structure and content

- Rewrite index.mdx as proper getting started guide
- New: chat.mdx (modes, permissions, context management)
- New: skills.mdx (categories, marketplace, local skills)
- New: design-agent.mdx (single/batch image generation)
- New: gallery.mdx (browsing, filtering, detail view)
- Rewrite providers.mdx — CLI env auth, cc switch caveat, API Key vs
  Auth Token, Chinese provider presets, model mapping, priority chain
- Rewrite mcp.mdx — three transport types, dual view modes
- Rewrite assistant-workspace.mdx — align with Settings > Assistant tab
- Rewrite faq.mdx — comprehensive Q&A
- Bridge split into 5 pages: overview + Telegram + Discord + Feishu + QQ
- Flatten single-page folders to remove sidebar expand arrows
- Update meta.json with new pages

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
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7418andClaude Opus 4.6 committed 2026-03-11 00:48:55 +08:00
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---
title: Assistant Workspace
description: Manage Claude's project context, behavior settings, and automation workflows.
---
# Assistant Workspace
The Assistant Workspace lets you configure project-level context and behavior for Claude. You can define Claude's role, memory, and automation workflows so it maintains a consistent working state across conversations.
## Opening the Workspace
Go to **Settings > Assistant** tab to manage all Assistant Workspace configurations.
## Workspace Path
The workspace path specifies the project directory Claude works in. Once set, Claude automatically uses that directory as context for file operations and code analysis during conversations.
## Onboarding Setup
Onboarding setup is a prompt that runs automatically at the start of each new conversation. When enabled, the first message of every new conversation triggers the onboarding workflow.
Typical uses:
- Have Claude read the project's README and key configuration files
- Understand the project architecture and coding conventions
- Load essential context information
### Configuration
1. Find the **Onboarding Setup** section in the **Assistant** tab
2. Toggle the switch to enable onboarding setup
3. Write the onboarding prompt in the text box
4. Save
## Daily Check-in
Daily check-in is a periodic context-refresh prompt that runs automatically. When enabled, Claude re-evaluates the project state at the configured interval.
Typical uses:
- Periodically review project progress
- Refresh file change status
- Update Claude's awareness of the current project state
### Configuration
1. Find the **Daily Check-in** section in the **Assistant** tab
2. Toggle the switch to enable daily check-in
3. Write the check-in prompt
4. Save
## Use Cases
### Personal Project Maintenance
Configure onboarding setup for long-term projects so Claude can quickly understand the current state of the project in every conversation, without you having to re-explain the background each time.
### Team Collaboration
Set up a unified workspace configuration to ensure team members follow the same coding standards and workflows when using Claude.
### Complex Project Management
Combine onboarding setup with daily check-in to keep Claude continuously aware of the project context during long-running tasks.
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---
title: Assistant Workspace
description: Inspect and manage Claude's working environment.
---
The Assistant Workspace gives you visibility into what Claude is doing during a conversation. It shows file changes, tool usage, and the current state of Claude's working context.
## Features
### File Inspector
View the files that Claude has read or modified during the conversation:
- **File tree** — Browse the project directory structure
- **Diff view** — See exactly what changes Claude made to each file
- **File preview** — Preview files with syntax highlighting
### Tool Activity
Monitor Claude's tool usage in real time:
- See which tools Claude is calling and why
- View tool input/output for debugging
- Track the sequence of operations
### Context Usage
Track how much of Claude's context window is being used:
- **Token count** — Current tokens used vs. available
- **Usage breakdown** — How tokens are distributed across messages, tools, and system context
- **Cost estimate** — Approximate cost based on the active provider's pricing
## Opening the Workspace
The workspace can be configured from:
- Go to **Settings** and open the **Assistant** section (`/settings#assistant`)
The workspace panel appears as a resizable side panel alongside the chat, and can be toggled from the chat header.
## Use Cases
- **Code Review** — Review all file changes Claude has made before committing
- **Debugging** — Inspect tool calls when something isn't working as expected
- **Learning** — Understand how Claude approaches problems by watching its tool usage
- **Cost Management** — Monitor token usage to stay within budget
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---
title: Message Bridge
description: Bridge Claude conversations to messaging platforms.
---
CodePilot's Message Bridge lets you interact with Claude from external messaging platforms. Start a conversation on your desktop, then continue it from your phone via Discord, Telegram, Feishu (Lark), or QQ.
## Supported Platforms
| Platform | Features |
|----------|----------|
| **Discord** | Full message bridge with bot integration |
| **Telegram** | Direct message bridge via bot |
| **Feishu/Lark** | Enterprise messaging bridge |
| **QQ** | Bridge via QQ bot platform |
## Setup
### Discord
1. Open **Bridge** from the sidebar, or go to **Settings** and configure the Discord bridge
2. Create a Discord bot at [discord.com/developers](https://discord.com/developers/applications)
3. Copy the bot token and paste it into CodePilot
4. Invite the bot to your Discord server
5. Specify the channel ID where the bridge should operate
6. Click **Enable**
### Telegram
1. Open **Bridge** from the sidebar, or go to **Settings** and configure the Telegram bridge
2. Create a bot via [@BotFather](https://t.me/BotFather) on Telegram
3. Copy the bot token and paste it into CodePilot
4. Click **Enable**
5. Send a message to your bot to start bridging
### Feishu/Lark
1. Open **Bridge** from the sidebar, or go to **Settings** and configure the Feishu bridge
2. Create an app in the [Feishu Open Platform](https://open.feishu.cn)
3. Configure the app credentials (App ID and App Secret)
4. Set up event subscriptions
5. Click **Enable**
## How It Works
1. **Desktop to Mobile**: Messages you send in CodePilot are forwarded to the configured platform
2. **Mobile to Desktop**: Messages from the platform are sent to Claude, and responses are forwarded back
3. **Background Mode**: CodePilot can run in system tray mode, keeping the bridge active even when the window is closed
## Bridge Modes
- **Interactive Mode** — Full bidirectional messaging
- **System Tray Mode** — Minimize to tray, bridge stays active in background
- **Notification Only** — Only receive notifications, no message forwarding
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---
title: Discord
description: Configure the Discord Bot bridge.
---
# Discord Bridge
Chat with Claude through a Discord Bot. Supports both server channels and DMs, with streaming message preview.
## Create a Discord Bot
1. Go to the [Discord Developer Portal](https://discord.com/developers/applications)
2. Click **New Application** and enter an application name
3. Select **Bot** in the left menu
4. Click **Reset Token** to get the Bot Token; copy it for later use
5. In the Bot settings, enable the following **Privileged Gateway Intents**:
- **Message Content Intent** — Required; the Bot needs to read message content
- **Server Members Intent** — Optional; used for user identity verification
6. Select **OAuth2 > URL Generator** in the left menu
7. Check Scopes: `bot`
8. Check Bot Permissions: `Send Messages`, `Read Message History`, `Embed Links`
9. Copy the generated invite link and open it in your browser
10. Select your server and authorize the Bot to join
## Configure in CodePilot
1. Click **Bridge** in the sidebar, then switch to the **Discord** tab
2. Paste the Bot Token in the **Bot Credentials** section
3. Click **Test Connection** to verify
4. Configure access control (to get IDs you need to enable Discord's **Developer Mode**: open Discord Settings > **Advanced** > enable **Developer Mode**, then you can right-click to copy various IDs):
- **Allowed Users** — Right-click a user > **Copy User ID**; separate multiple IDs with commas
- **Allowed Channels** — Right-click a channel > **Copy Channel ID**; restricts the Bot to specific channels
- **Allowed Servers** — Right-click a server icon > **Copy Server ID**; restricts the Bot to specific servers
5. Configure group policy:
- **Open** — Bot responds in all allowed servers/channels
- **Disabled** — Bot only responds in DMs
6. (Optional) **Require @mention** — When enabled, the Bot only responds to messages that @mention it
7. Click **Save**
## Enable the Bridge
1. Go back to the Bridge overview page
2. Make sure the **Discord** channel toggle is on
3. Make sure the Bridge master switch is on
4. Click **Start**
## Streaming Preview
The Discord bridge supports streaming message preview, updating the message in real time as Claude generates a reply. Parameters:
- **Minimum update characters** — Default 40
- **Minimum update interval** — Default 1500 ms
- **Maximum message length** — Default 1900 characters
## Message Format
Discord natively supports Markdown, so Claude's replies are sent directly in Markdown format. Overly long messages are automatically split into chunks (max 2000 characters each).
## Troubleshooting
### Bot is online but not responding
1. Confirm **Message Content Intent** is enabled (Developer Portal > Bot settings)
2. Confirm the Bot has **Send Messages** and **View Channel** permissions for the channel
3. If you configured allowed channels/users/servers lists, confirm the corresponding IDs are correct
4. If **Require @mention** is enabled, make sure the message @mentions the Bot
### Bot goes offline
The Discord WebSocket connection may drop due to network fluctuations. CodePilot will automatically reconnect. If it keeps disconnecting, check your network connection.
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---
title: Feishu / Lark
description: Configure the Feishu / Lark bridge.
---
# Feishu Bridge
Chat with Claude through a Feishu (or Lark) app. Supports switching between the domestic and international editions, and group policy control.
## Create a Feishu App
### Domestic Edition (Feishu)
1. Go to the [Feishu Open Platform](https://open.feishu.cn) and sign in with a developer account
2. Click **Create Custom App**
3. Fill in the app name and description
4. On the app details page, under **Credentials & Basic Info**, obtain:
- **App ID** (format: `cli_xxxxxxxxxx`)
- **App Secret**
5. In the left menu, select **Add Capabilities > Bot** to enable the bot capability
6. Under **Event Subscriptions**, select **Long Connection Mode** (WebSocket, no public IP required):
- Long connection mode must be started before you can save the configuration — click enable and wait for the connection to be established
- Once connected, add the event: `im.message.receive_v1` (receive messages)
- Save the event subscription configuration
7. Under **Permissions**, request the following:
- `im:message` (send messages)
- `im:message.group_at_msg` (receive group chat @messages)
- `im:message.p2p_msg` (receive DM messages)
8. **Publish the app** — submit for review or self-approve
### International Edition (Lark)
The process is the same as the domestic edition, but performed on [Lark Developer](https://open.larksuite.com). When configuring in CodePilot, select the domain as **Lark**.
## Configure in CodePilot
1. Click **Bridge** in the sidebar, then switch to the **Feishu** tab
2. Select domain: **Feishu** (domestic) or **Lark** (international)
3. Enter the **App ID** and **App Secret**
4. Click **Test Connection** to verify the credentials
5. Configure group policy:
- **Open** — Bot responds to @messages in all group chats
- **Allowlist** — Only responds in specified group chats (enter group chat_id values)
- **Disabled** — Only responds in DMs
6. (Optional) **Require @mention** — When enabled, the Bot only responds to messages that @mention it in group chats
7. (Optional) **Allowed Users** — Enter Feishu open_id or chat_id values to restrict who can use the Bot
8. Click **Save**
## Enable the Bridge
1. Go back to the Bridge overview page
2. Make sure the **Feishu** channel toggle is on
3. Make sure the Bridge master switch is on
4. Click **Start**
## Message Format
The Feishu bridge converts Claude's replies into Feishu message format:
- Complex replies (containing code blocks, tables, etc.) → Interactive Card
- Simple replies → Rich text message (Post)
- Maximum 30,000 characters per message (splitting is usually not needed)
## Troubleshooting
### Test connection failed
1. Confirm the App ID and App Secret are correct
2. Confirm the app has been published (review approved)
3. Confirm you selected the correct domain (domestic vs. international)
### Bot not responding in group chats
1. Confirm the bot capability has been added
2. Confirm the `im:message.group_at_msg` permission has been granted
3. Confirm the group policy is not set to "Disabled"
4. If the policy is set to "Allowlist", confirm the group chat ID is in the allowed list
5. If "Require @mention" is enabled, make sure the message @mentions the Bot
### Bot not responding in DMs
1. Confirm the `im:message.p2p_msg` permission has been granted
2. Confirm the app has been published
3. Search for the Bot by name in Feishu and start a DM
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---
title: Message Bridge
description: Bridge Claude conversations to messaging platforms.
description: Bridge Claude conversations to Telegram, Discord, Feishu / Lark, and QQ.
---
CodePilot's Message Bridge lets you interact with Claude from external messaging platforms. Start a conversation on your desktop, then continue it from your phone via Discord, Telegram, Feishu (Lark), or QQ.
# Message Bridge
The Message Bridge lets you chat with Claude from instant messaging apps on your phone. Start CodePilot on your desktop, configure a Bot, and you can interact with Claude anytime through Telegram, Discord, Feishu / Lark, or QQ.
## Supported Platforms
| Platform | Features |
|----------|----------|
| **Discord** | Full message bridge with bot integration |
| **Telegram** | Direct message bridge via bot |
| **Feishu/Lark** | Enterprise messaging bridge |
| **QQ** | Bridge via QQ bot platform |
## Setup
### Discord
1. Open **Bridge** from the sidebar, or go to **Settings** and configure the Discord bridge
2. Create a Discord bot at [discord.com/developers](https://discord.com/developers/applications)
3. Copy the bot token and paste it into CodePilot
4. Invite the bot to your Discord server
5. Specify the channel ID where the bridge should operate
6. Click **Enable**
### Telegram
1. Open **Bridge** from the sidebar, or go to **Settings** and configure the Telegram bridge
2. Create a bot via [@BotFather](https://t.me/BotFather) on Telegram
3. Copy the bot token and paste it into CodePilot
4. Click **Enable**
5. Send a message to your bot to start bridging
### Feishu/Lark
1. Open **Bridge** from the sidebar, or go to **Settings** and configure the Feishu bridge
2. Create an app in the [Feishu Open Platform](https://open.feishu.cn)
3. Configure the app credentials (App ID and App Secret)
4. Set up event subscriptions
5. Click **Enable**
| Platform | Highlights |
|----------|------------|
| **Telegram** | Long-polling mode, streaming preview, permission buttons, rich Markdown rendering |
| **Discord** | WebSocket mode, streaming preview, channel and DM dual-mode |
| **Feishu / Lark** | WebSocket mode, domestic / international edition switching, group policy control |
| **QQ** | REST API mode, image sending, DM bridging |
## How It Works
1. **Desktop to Mobile**: Messages you send in CodePilot are forwarded to the configured platform
2. **Mobile to Desktop**: Messages from the platform are sent to Claude, and responses are forwarded back
3. **Background Mode**: CodePilot can run in system tray mode, keeping the bridge active even when the window is closed
```
Phone IM → Bot receives message → CodePilot forwards to Claude → Claude replies → Bot sends reply back to IM
```
## Bridge Modes
1. You send a message to the Bot in your messaging platform
2. CodePilot's Bridge service receives the message and forwards it to Claude
3. Claude processes the request and generates a reply
4. The reply is sent back to your messaging platform via the Bot
5. If Claude needs permission confirmation (e.g. writing a file), it sends a confirmation button in the IM
- **Interactive Mode** — Full bidirectional messaging
- **System Tray Mode** — Minimize to tray, bridge stays active in background
- **Notification Only** — Only receive notifications, no message forwarding
## Basic Setup
### Enable the Bridge
1. Click **Bridge** in the sidebar
2. On the Bridge overview page, turn on the **Bridge master switch**
3. Enable the channels you need (Telegram / Discord / Feishu / QQ)
4. Go to each channel's page to configure Bot credentials
5. Click **Start**
### Bridge Global Settings
On the Bridge overview page you can configure:
- **Default working directory** — Default project path for new conversations
- **Default model** — Model used for bridge conversations
- **Default provider** — API provider used for bridge conversations
- **Auto-start** — Automatically start the bridge service when CodePilot launches
### Bridge Status
The Bridge page shows real-time status:
- Master service status (Connected / Disconnected)
- Status of each channel adapter
- Number of active session bindings
- Time of the last message
## Slash Commands
You can use slash commands in the IM to control CodePilot:
| Command | Arguments | Description |
|---------|-----------|-------------|
| `/new` | `[path]` | Start a new conversation, optionally specifying a working directory |
| `/bind` | `<session-id>` | Bind the current IM chat to an existing CodePilot conversation |
| `/cwd` | `/path/to/dir` | Switch the working directory for the current conversation |
| `/mode` | `plan\|code\|ask` | Switch conversation mode |
| `/status` | — | View current conversation status (ID, working directory, mode, model) |
| `/sessions` | — | List recent conversations for the current channel (up to 10) |
| `/stop` | — | Abort the currently running task |
| `/help` | — | View available commands |
## Usage Tips
- **Keep CodePilot running** — The bridge relies on the desktop app as a relay; the Bot cannot respond if CodePilot is closed
- **System tray mode** — Minimize to the system tray so the bridge stays active without taking up desktop space
- **Prefer DMs** — Using DMs is recommended; group chats may be noisy with other messages
- **Permission confirmations** — When Claude needs to perform a sensitive operation it sends a confirmation button in the IM; make sure to respond promptly
## Channel Configuration
- [Telegram Setup](/docs/bridge/telegram)
- [Discord Setup](/docs/bridge/discord)
- [Feishu / Lark Setup](/docs/bridge/feishu)
- [QQ Setup](/docs/bridge/qq)
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{
"title": "Bridge",
"pages": [
"index",
"telegram",
"discord",
"feishu",
"qq"
]
}
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---
title: QQ
description: Configure the QQ Bot bridge.
---
# QQ Bridge
Chat with Claude through a QQ Bot. Supports image sending and DM bridging.
## Create a QQ Bot
1. Go to the [QQ Open Platform](https://q.qq.com) and register a developer account
2. Create a new Bot application
3. Complete identity verification (individual or enterprise)
4. On the application management page, obtain:
- **AppID** (numeric format)
- **App Secret**
5. Under **Feature Configuration**, enable the required message permissions
6. Submit for review and wait for approval
> The QQ Bot platform has a strict review process. It is recommended to read the platform documentation and integration guidelines carefully.
## Configure in CodePilot
1. Click **Bridge** in the sidebar, then switch to the **QQ** tab
2. Enter the **App ID** and **App Secret**
3. Click **Test Connection** to verify the credentials
4. (Optional) Configure **Allowed Users** — Enter QQ user_openid values, separated by commas
5. (Optional) Configure image settings:
- **Enable image sending** — Allow the Bot to send images (enabled by default)
- **Maximum image size** — Size limit per image (default 20 MB)
6. Click **Save**
## Enable the Bridge
1. Go back to the Bridge overview page
2. Make sure the **QQ** channel toggle is on
3. Make sure the Bridge master switch is on
4. Click **Start**
5. Add the Bot as a friend in QQ, then send a message to start chatting with Claude
## Message Format
The QQ bridge sends messages in plain text format:
- Markdown rendering is not supported
- Overly long messages are automatically split into chunks (max 2000 characters each)
- Each reply can contain at most 3 chunks (platform limitation)
- Image sending is supported (must be enabled in image settings)
## Permission Handling
The QQ Bot platform does not support inline buttons, so permission confirmations are handled via text commands:
- The Bot sends a permission confirmation message including the operation description and a permission ID
- Reply `/perm allow <ID>` to allow the operation
- Reply `/perm deny <ID>` to deny the operation
- Reply `/perm allow_session <ID>` to allow similar operations for the rest of this session
## Troubleshooting
### Test connection failed
1. Confirm the App ID and App Secret are correct
2. Confirm the Bot application has passed review
3. Confirm developer identity verification is complete
### Bot not responding
1. Confirm you have added the Bot as a QQ friend
2. Confirm the CodePilot bridge is running
3. If you configured an allowed users list, confirm your user_openid is in the list
### Messages are truncated
The QQ platform limits each reply to a maximum of 3 chunks. For particularly long replies, the end may be lost. Consider asking Claude to reply concisely in your prompts.
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---
title: Telegram
description: Configure the Telegram Bot bridge.
---
# Telegram Bridge
Chat with Claude through a Telegram Bot. Supports streaming message preview, permission confirmation buttons, and rich Markdown rendering.
## Create a Telegram Bot
1. Search for [@BotFather](https://t.me/BotFather) in Telegram
2. Send `/newbot`
3. Follow the prompts to enter a display name and a username (must end with `_bot`)
4. BotFather will return a **Bot Token** in a format like `123456:ABC-DEF1234ghIkl-zyx57W2v1u123ew11`
5. Copy the Token for later use
## Configure in CodePilot
1. Click **Bridge** in the sidebar, then switch to the **Telegram** tab
2. Paste the Bot Token in the **Bot Credentials** section
3. Click **Test Connection** to verify the Token is valid
4. Once verified, click **Auto-detect Chat ID**:
- First, send any message to your Bot in Telegram
- Then click the detect button; CodePilot will automatically retrieve your Chat ID
5. (Optional) In **Allowed Users**, enter the Telegram user IDs permitted to use the Bot, separated by commas. Leave empty for no restrictions.
6. Click **Save**
## Enable the Bridge
1. Go back to the Bridge overview page
2. Make sure the **Telegram** channel toggle is on
3. Make sure the Bridge master switch is on
4. Click **Start**
Send a message to the Bot in Telegram and you should receive a reply from Claude.
## Streaming Preview
The Telegram bridge supports streaming message preview — as Claude generates a reply, the Bot updates the message content in real time so you can follow the progress without waiting for the full response.
Streaming preview parameters can be adjusted in the advanced settings:
- **Minimum update characters** — Minimum number of new characters accumulated before updating the message (default 20)
- **Minimum update interval** — Shortest interval between two updates (default 700 ms)
- **Maximum message length** — Maximum length of the preview message (default 3900 characters)
## Message Format
The Telegram bridge converts Claude's Markdown replies into Telegram HTML format:
- Code blocks → `<pre>` with language annotation
- Bold, italic → HTML tags
- Links → clickable links
- Overly long messages are automatically split into chunks (max 4096 characters each)
If HTML rendering fails, the message is automatically sent as plain text.
## Permission Handling
When Claude needs to perform a sensitive operation, the Bot sends a message with inline buttons:
- **Allow** — Allow this operation
- **Allow for session** — Automatically allow similar operations for the rest of this session
- **Deny** — Deny the operation
## Troubleshooting
### Bot not responding
1. Confirm the CodePilot bridge service is running (Bridge page shows "Connected")
2. Confirm the Telegram channel toggle is on
3. Confirm the Bot Token is correct (re-test the connection)
4. If you configured an allowed users list, confirm your user ID is in the list
### Receiving error messages
- **Insufficient API quota** — Check the API key balance
- **Model unavailable** — Check the bridge default provider and model configuration
- **Permission timeout** — Claude timed out waiting for permission confirmation; resend the message
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---
title: Chat
description: CodePilot's chat features — modes, permissions, and context management.
---
# Chat
Chat is CodePilot's core feature. This is where you collaborate with Claude on programming tasks.
## Conversation Modes
CodePilot offers three conversation modes, switchable at any time from above the input box:
### Code Mode
The default mode. Claude has full tool access and can:
- Read and write project files
- Execute terminal commands
- Call MCP tools
- Search the codebase
Best for everyday development tasks: writing code, fixing bugs, refactoring, deploying.
### Plan Mode
Planning mode. Claude only analyzes and formulates plans — **it will not execute any actions**.
- Analyzes problems and proposes implementation plans
- Lists files and steps that need to be changed
- Evaluates the pros and cons of different approaches
Best for thinking things through before taking action, or assessing the impact of large changes.
### Ask Mode
Q&A mode. Claude only answers questions and does not use any tools.
- Explains code logic
- Answers technical questions
- Discusses architecture and design
Best for pure knowledge Q&A scenarios where Claude does not need access to project files.
## Permission Control
### Session Permissions
Each conversation lets you choose a permission level:
- **Default** — Claude will ask for confirmation before performing sensitive operations (writing files, running commands)
- **Full Access** — Claude can automatically perform all operations without individual confirmation
The permission selector is next to the chat input box. Use Default for exploratory tasks; use Full Access for trusted, repetitive tasks.
### Permission Dialog
When Claude needs to perform a restricted operation, a permission confirmation dialog appears showing:
- Tool name and parameters
- Description of the operation
- Allow / Deny buttons
You can review each of Claude's actions one by one.
## Context Management
### Context Usage Indicator
The circular progress bar next to the input box shows the current conversation's context window usage. Hover over it for details:
- Tokens used
- Total available tokens
- Usage percentage
When the context approaches its limit, Claude will automatically compress message history to continue the conversation.
### Conversation Rewind
CodePilot supports rewinding a conversation to a previous point. Each user message is a rewind point — you can go back to any earlier message and restart the conversation from there.
## Input Features
### File Attachments
You can attach image files in the input box for Claude to analyze screenshots or design mockups. Supports drag-and-drop or clicking the attachment button.
### Slash Commands
Type `/` to trigger the slash command menu for quick access to common actions.
### @-Mentions
Type `@` to reference files or context, helping Claude focus on specific content.
## Session Management
### Import CLI Sessions
If you have previously used the Claude Code CLI, you can use the **Import Session** feature to bring CLI conversations into CodePilot. Supports searching and filtering past sessions.
### Provider Switching
The conversation header shows the current provider. You can switch providers mid-conversation — subsequent messages will be processed by the new provider. Each conversation remembers its provider setting.
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---
title: Design Agent
description: Generate images using AI-powered image generation.
---
# Design Agent
Design Agent is CodePilot's built-in AI image generation feature. It uses Claude to analyze your requirements, then calls the Gemini Image API to generate images.
## Prerequisites
To use Design Agent, you need to configure the **Google Gemini (Image)** provider:
1. Go to **Settings > Providers**
2. Click **Add Provider** and select **Google Gemini (Image)**
3. Enter your API key
4. Click **Save**
## Single Image Generation
### Enabling Design Agent
Find the **Design Agent** toggle to the right of the chat input box and click to enable it. Once enabled, your messages will be analyzed by Claude as image generation requests.
### Generation Workflow
1. Turn on the Design Agent toggle
2. Describe the image you want in natural language
3. Claude analyzes your request and generates a structured image description
4. A confirmation panel appears where you can adjust:
- **Prompt** — Edit the generation prompt
- **Aspect ratio** — Choose a ratio (1:1, 16:9, 9:16, 3:2, 4:3, and 10 more)
- **Resolution** — Select 1K / 2K / 4K
5. Click generate and wait for the result
6. The generated image appears as a card in the conversation
### Reference Image
You can upload a reference image to guide the generation style and composition. Attach an image in the input box and Design Agent will automatically use it as a generation reference.
### Iterative Editing
After generating an image, you can describe modifications directly (e.g., "remove the bottle on the right"). The system automatically uses the previous result as a reference image, enabling continuous iteration.
## Batch Generation
Design Agent supports batch image generation based on document content.
### Workflow
1. Upload a document or provide content in the conversation
2. Describe your image requirements and style preferences
3. Claude analyzes the document and generates a batch generation plan:
- Prompt for each image
- Aspect ratio and resolution
- Tags and source references
4. You can review and edit each item in the plan individually
5. Confirm to start batch generation
6. A progress panel shows the generation status of each image in real time
7. Failed items can be retried individually
## Viewing History
All generated images are automatically saved to the [Gallery](/docs/gallery), where you can browse, download, or bookmark them at any time.
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@@ -3,68 +3,80 @@ title: FAQ
description: Frequently asked questions about CodePilot.
---
# FAQ
## General
### What is CodePilot?
CodePilot is a native desktop GUI client for Claude Code. It provides a graphical interface for the Claude Code CLI, with additional features like multi-provider support, a plugin system, message bridging, and theme customization.
CodePilot is a desktop workspace for Claude Code. It provides a graphical interface on top of the Claude Code CLI, integrating multi-provider management, MCP plugins, skills, message bridging, and the assistant workspace. Built with Electron + Next.js.
### What is the relationship between CodePilot and Claude Code CLI?
CodePilot is a graphical frontend for the Claude Code CLI. It calls Claude Code CLI capabilities through the Claude Agent SDK while adding GUI-exclusive features on top (multi-provider switching, bridging, gallery, etc.). You need to install the Claude Code CLI before using CodePilot.
### Is CodePilot free?
CodePilot is open source and free to use. You need your own API key from a supported provider (Anthropic, OpenAI, Google, AWS Bedrock, etc.) to use it.
CodePilot is open source and free to use. You need your own API key from a supported provider (Anthropic, OpenRouter, or others). API usage fees are charged by the provider.
### What platforms are supported?
### What operating systems are supported?
CodePilot supports macOS (Apple Silicon and Intel) and Windows. Linux support is planned.
- macOS 12+ (Apple Silicon and Intel)
- Windows 10+ (64-bit)
## Setup
## Installation & Configuration
### I get a "Node.js not found" error
### "Node.js not found" on first launch
CodePilot requires Node.js 18 or later. The setup wizard will offer to install it for you, or you can install it manually from [nodejs.org](https://nodejs.org).
CodePilot requires Node.js 18+. The first-launch setup wizard will detect this and offer automatic installation. You can also install manually from [nodejs.org](https://nodejs.org).
### How do I get an API key?
- **Anthropic**: Sign up at [console.anthropic.com](https://console.anthropic.com) and create an API key
- **OpenAI**: Sign up at [platform.openai.com](https://platform.openai.com) and create an API key
- **Google AI**: Get a key from [aistudio.google.com](https://aistudio.google.com)
- **Anthropic** — [console.anthropic.com](https://console.anthropic.com)
- **OpenRouter** — [openrouter.ai](https://openrouter.ai)
- **GLM (Zhipu)** — [open.bigmodel.cn](https://open.bigmodel.cn)
- **Kimi** — [platform.moonshot.cn](https://platform.moonshot.cn)
- **Volcengine** — [console.volcengine.com](https://console.volcengine.com)
- **Alibaba Cloud Bailian** — [dashscope.console.aliyun.com](https://dashscope.console.aliyun.com)
### Can I use a local LLM?
Yes, if it provides an OpenAI-compatible API endpoint. Configure it as an OpenAI provider with your local server's URL.
Yes. Any local service that provides an OpenAI-compatible API (Ollama, LM Studio, vLLM, etc.) can be connected as a custom API provider. Select Custom API in the provider settings and enter your local service URL.
### macOS says "cannot verify the developer"
Go to **System Settings > Privacy & Security**, find the CodePilot prompt, and click "Open Anyway".
## Usage
### How do I switch between providers?
### What are the differences between Code / Plan / Q&A modes?
Use the provider selector in the chat header. Each conversation remembers its provider, and you can switch mid-conversation.
- **Code** — Claude can read and write files and execute commands; suitable for everyday development
- **Plan** — Claude only analyzes and proposes solutions without executing actions; suitable for the planning phase
- **Q&A** — Claude only answers questions without using tools; suitable for pure Q&A
### How do I use MCP plugins?
### How do I chat with Claude from my phone?
Open **MCP** from the sidebar to add MCP servers. Once connected, their tools are automatically available to Claude.
Use the [Message Bridge](/docs/bridge) feature to connect CodePilot to Telegram, Discord, Feishu, or QQ. Keep the desktop app running and you can chat with Claude from your phone.
### Can I use CodePilot on my phone?
### What should I do if Claude isn't responding?
Not directly, but you can use the [Message Bridge](/docs/bridge) to bridge conversations to Discord, Telegram, Feishu, or QQ and interact from your phone.
1. Check that your API key is valid and has sufficient balance
2. Check your internet connection
3. Try switching to a different provider
4. Check the MCP page for any server errors
5. Restart CodePilot
## Troubleshooting
### How do I import CLI conversation history?
### The app won't start
Use the import feature on the chat page to search for and import historical sessions from the Claude Code CLI.
1. Make sure Node.js 18+ is installed
2. Try deleting the app data directory and relaunching
3. Check the logs in the app data directory for error messages
### Claude isn't responding
1. Check that your API key is valid and has sufficient credits
2. Verify your internet connection
3. Try switching to a different provider to isolate the issue
4. Check the **MCP** page in the sidebar for any MCP server errors that might be blocking
## Feedback & Support
### How do I report a bug?
Open an issue on [GitHub](https://github.com/op7418/CodePilot/issues) with:
Open an issue on [GitHub Issues](https://github.com/op7418/CodePilot/issues). Please include:
- Your OS and CodePilot version
- Steps to reproduce the issue
- Any relevant error messages from the logs
- Steps to reproduce
- Relevant error logs
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---
title: Gallery
description: Manage AI-generated image assets.
---
# Gallery
The Gallery lets you browse, manage, and organize all images generated through Design Agent. Click **Gallery** in the sidebar to open it.
## Browsing Images
The Gallery displays all generated images in a masonry grid layout with infinite scroll loading.
### Filtering and Sorting
- **Date range** — Filter images by date
- **Bookmarked only** — Show only bookmarked images
- **Sort order** — Arrange by newest or oldest
## Image Details
Click any image to open the detail view. The left side shows the image preview, and the right side displays a metadata panel:
- **Prompt** — The prompt used for generation
- **Model** — The generation model used
- **Aspect ratio** — Image ratio (e.g., 1:1, 16:9)
- **Resolution** — Image dimensions
- **Reference image** — The reference image used during generation (if any)
- **Linked conversation** — Jump to the conversation where the image was generated
### Actions
- **Download** — Save the image locally
- **Bookmark** — Mark as a bookmark for quick access later
- **Delete** — Delete the image (confirmation required)
When multiple images are generated together, a count badge and left/right navigation arrows are shown.
## Storage Location
Generated images are saved in the `~/.codepilot/.codepilot-media/` directory. If generated within a conversation, images are also copied to the `.codepilot-images/` folder in the project directory.
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@@ -1,30 +1,57 @@
---
title: Getting Started
description: Get started with CodePilot - a native desktop GUI client for Claude Code.
description: Get started with CodePilot — a desktop workspace for Claude Code.
---
# Getting Started
Welcome to CodePilot! This guide will help you get up and running.
CodePilot is a desktop workspace for Claude Code that brings conversations, providers, MCP, Skills, Bridge, and Assistant Workspace together in one interface.
## What is CodePilot?
## Prerequisites
CodePilot is a native desktop GUI client for Claude Code, built with Electron and Next.js.
It provides a rich graphical interface for interacting with Claude, managing projects,
and leveraging AI-powered development tools.
Before using CodePilot, you need:
## Quick Start
1. **Node.js 18+** — CodePilot depends on Node.js to run the Claude Code CLI
2. **Claude Code CLI** — Anthropic's official command-line tool (can be installed automatically on first launch)
3. **At least one API key** — From Anthropic, OpenRouter, or another supported provider (see [Providers](/docs/providers) for details on obtaining and configuring keys)
1. Download CodePilot from the [download page](/download)
2. Install and launch the application
3. Configure your API provider in Settings
4. Start a new conversation and begin coding with Claude!
## Installation & First Launch
## Features
1. Download the installer for your platform from [GitHub Releases](https://github.com/op7418/CodePilot/releases) ([detailed installation guide](/docs/installation))
2. Install and launch CodePilot
3. On first launch, a **Setup Wizard** will guide you through:
- Detecting and installing Node.js (if not found)
- Detecting and installing the Claude Code CLI (if not found)
- Configuring at least one API provider
- **Multi-provider support** — Anthropic, OpenAI, Google, AWS Bedrock
- **MCP Plugin System** — Extend functionality with Model Context Protocol plugins
- **Message Bridge** — Connect to Discord, Telegram, Feishu, and QQ
- **Assistant Workspace** — Inspect and manage Claude's working environment
- **Theme System** — Customizable themes and visual styles
- **Image Generation** — Built-in AI image generation capabilities
## Interface Overview
The CodePilot interface consists of a left sidebar and a main workspace area:
| Navigation | Description |
|------------|-------------|
| **Chat** | Converse with Claude in Code / Plan / Ask modes |
| **MCP** | Manage MCP servers to give Claude access to external tools |
| **Skills** | Browse and manage skills (local + marketplace) |
| **Bridge** | Bridge conversations to Telegram, Discord, Feishu, QQ |
| **Gallery** | View images generated by Claude |
| **Settings** | Providers, CLI config, usage stats, Assistant Workspace |
## Starting Your First Conversation
1. Click **Chat** in the sidebar to open the chat page
2. Type your request in the input box and press Enter
3. Claude will stream its response, showing tool calls and file operations as they happen
4. Use the mode switcher above the input box to change the conversation mode:
- **Code** — Default mode. Claude can read/write files and run commands
- **Plan** — Planning mode. Claude analyzes and proposes a plan without executing anything
- **Ask** — Q&A mode. Claude answers questions without using any tools
## Next Steps
- [Installation](/docs/installation) — Detailed installation and setup steps
- [Providers](/docs/providers) — Configure multiple LLM providers
- [MCP](/docs/mcp) — Extend Claude's capabilities with MCP plugins
- [Skills](/docs/skills) — Use and manage skills
- [Bridge](/docs/bridge) — Continue Claude conversations on your phone
- [Assistant Workspace](/docs/assistant-workspace) — Manage project context and Claude's behavior
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---
title: MCP Plugins
description: Connect external tools to Claude via the Model Context Protocol.
---
# MCP Plugins
[Model Context Protocol (MCP)](https://modelcontextprotocol.io) is an open standard for connecting AI assistants to external tools. CodePilot has a built-in MCP client that supports connecting to any MCP server to extend Claude's capabilities.
## What is MCP?
MCP servers provide Claude with additional tools, such as:
- **File System** — Read/write files, search directories
- **Database** — Query databases directly
- **API Integrations** — Connect to external services like GitHub, Jira, Slack
- **Development Tools** — Run tests, lint code, manage dependencies
- **Custom Tools** — Build any tool you need
## Managing MCP Servers
Click **MCP** in the sidebar to open the management page. The page provides two views:
### List View
Displays all configured MCP servers as cards, each showing:
- Server name
- Connection status (Connected / Disconnected / Error)
- List of tools provided
### JSON Editor
Directly edit the MCP configuration JSON file — useful for bulk configuration or importing settings from other tools.
## Adding an MCP Server
1. Click **Add Server** on the MCP page
2. Fill in the configuration:
- **Name** — A descriptive name for the server
- **Transport Type** — Select the connection method:
- **stdio** — Local process communicating via standard input/output (most common)
- **SSE** — Connect to a remote server via Server-Sent Events
- **HTTP (Streamable)** — Connect via HTTP streaming
- **Command** (stdio type) — The command to start the server, e.g., `npx @modelcontextprotocol/server-filesystem`
- **Arguments** — Command-line arguments
- **URL** (SSE / HTTP type) — The remote server address
- **Environment Variables** — Environment variables the server needs (API keys, etc.)
3. After saving, the server will start automatically
## Using MCP Tools
Once an MCP server is connected, its tools automatically become available to Claude. Claude will call these tools as needed while processing your requests.
You can view the specific tool list for each server on the MCP page.
## Popular MCP Servers
| Server | Purpose |
|--------|---------|
| `@modelcontextprotocol/server-filesystem` | File system access |
| `@modelcontextprotocol/server-github` | GitHub integration |
| `@modelcontextprotocol/server-slack` | Slack integration |
| `@anthropic-ai/mcp-server-fetch` | Web fetching |
More MCP servers can be found in the [official MCP repository](https://github.com/modelcontextprotocol/servers) and the community.
## Troubleshooting
- **Server won't connect** — Check that the command is correct and the required npm package is installed
- **Tools not appearing** — Try disconnecting and reconnecting the server
- **Permission errors** — Ensure the MCP server has access to the required resources
- **SSE/HTTP connection fails** — Check that the URL is correct and the server is running
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@@ -1,57 +0,0 @@
---
title: MCP
description: Extend CodePilot with Model Context Protocol servers.
---
The [Model Context Protocol (MCP)](https://modelcontextprotocol.io) is an open standard for connecting AI assistants to external tools and data sources. CodePilot has built-in support for MCP servers.
## What is MCP?
MCP servers give Claude access to additional tools beyond its default capabilities:
- **File system tools** — Read/write files, search directories
- **Database access** — Query databases directly
- **API integrations** — Connect to external services (GitHub, Jira, Slack, etc.)
- **Development tools** — Run tests, lint code, manage dependencies
- **Custom tools** — Build your own tools for any purpose
## Managing MCP Servers
### Adding an MCP Server
1. Open **MCP** from the sidebar
2. Click **Add MCP Server**
3. Configure the server:
- **Name** — A descriptive name for the server
- **Command** — The command to start the MCP server (e.g., `npx @modelcontextprotocol/server-filesystem`)
- **Arguments** — Command-line arguments
- **Environment Variables** — Any required env vars (API keys, etc.)
4. Click **Save** and the server will be started
### Server Status
Each MCP server shows its connection status:
- **Connected** — Server is running and tools are available
- **Disconnected** — Server is not running
- **Error** — Server encountered an error (check logs for details)
## Using MCP Tools
Once an MCP server is connected, its tools automatically become available to Claude in your conversations. Claude will use these tools when relevant to your request.
You can see which tools are available from each server on the **MCP** page by expanding the server details.
## Popular MCP Servers
| Server | Purpose |
|--------|---------|
| `@modelcontextprotocol/server-filesystem` | File system access |
| `@modelcontextprotocol/server-github` | GitHub integration |
| `@modelcontextprotocol/server-slack` | Slack integration |
| `@anthropic-ai/mcp-server-fetch` | Web fetching |
## Troubleshooting
- **Server won't connect**: Check that the command is correct and the required npm package is installed
- **Tools not appearing**: Try disconnecting and reconnecting the server
- **Permission errors**: Ensure the MCP server has access to the resources it needs
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@@ -4,10 +4,14 @@
"index",
"installation",
"---Guides---",
"chat",
"providers",
"mcp",
"skills",
"bridge",
"assistant-workspace",
"design-agent",
"gallery",
"---Help---",
"faq"
]
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@@ -0,0 +1,158 @@
---
title: Provider Configuration
description: Configure LLM providers to power CodePilot.
---
# Provider Configuration
CodePilot supports multiple LLM providers. You can configure several providers simultaneously and use different models in different conversations.
## Authentication Overview
CodePilot has two ways to obtain API credentials:
### 1. CLI Environment Authentication (Auto-Detected)
If you have the `ANTHROPIC_API_KEY` environment variable set in your shell, CodePilot **automatically detects** it on startup and uses it as a built-in provider.
```bash
export ANTHROPIC_API_KEY="sk-ant-..."
```
> **Note:** Configurations changed via `claude config set` or Claude Code's `/config` command are **not recognized by CodePilot**. CodePilot only reads shell environment variables and does not share Claude Code CLI's internal configuration. If you switched accounts/keys in the CLI via `cc switch` or similar methods, you need to manually reconfigure the corresponding key in CodePilot's **Settings > Providers**.
> After modifying environment variables, you need to **restart CodePilot** for changes to take effect.
### 2. Manually Adding Providers
Manually add API keys in **Settings > Providers**. These credentials are stored in CodePilot's local database, independent of the CLI environment.
This is ideal for scenarios where you need multiple providers or non-Anthropic services.
### Priority
When sending a message, CodePilot determines which provider to use in the following order:
1. **Conversation-specific** — The provider manually selected in the conversation header
2. **Global default** — The provider marked as "Default" in the provider list
3. **Environment variable** — If no providers are configured, falls back to credentials from the shell environment
## Supported Providers
### Anthropic (Official)
Direct connection to the Anthropic API, using Claude models (Opus, Sonnet, Haiku).
- **Auth**: API Key
- **Note**: If you only use Anthropic, CLI environment authentication is sufficient — no need to add manually
### Anthropic (Third-Party Compatible)
Connect to third-party endpoints compatible with the Anthropic API format.
- **Auth**: API Key or Auth Token + custom Base URL. When adding, you need to select the authentication type:
- **API Key** — The key provided by the service starts with `sk-`, or the documentation explicitly labels it as an API Key. Most providers use this method, corresponding to the `ANTHROPIC_API_KEY` environment variable
- **Auth Token** — The service provides an OAuth Token or other form of access token, typically not starting with `sk-`. Some subscription-based services (such as Kimi Coding Plan, 火山引擎 Ark) use this method, corresponding to the `ANTHROPIC_AUTH_TOKEN` environment variable
- If unsure, try API Key first; if authentication fails, switch to Auth Token
- **Model Mapping**: Some third-party providers require their own model names (rather than Anthropic's original model names). If you encounter a model unavailable error, click **More Options** at the bottom of the configuration form and enter the provider's required model identifier in the **Model Name** field
### Chinese Providers
CodePilot includes built-in configuration presets for major Chinese providers. After selecting one, the Base URL and default model are auto-filled:
| Provider | Description | Auth Method |
|----------|-------------|-------------|
| **智谱 GLM (Domestic)** | 智谱 AI GLM series | API Key |
| **智谱 GLM (International)** | 智谱 AI international endpoint | API Key |
| **Kimi Coding Plan** | Moonshot Kimi coding edition | Auth Token |
| **Moonshot** | Moonshot API | API Key |
| **MiniMax (Domestic)** | MiniMax abab series | API Key |
| **MiniMax (International)** | MiniMax international endpoint | API Key |
| **火山引擎 Ark** | ByteDance Volcengine | Auth Token |
| **阿里云百炼 Coding Plan** | Alibaba Cloud Tongyi series | API Key |
> **Auth Token type**: Kimi Coding Plan and 火山引擎 Ark use `ANTHROPIC_AUTH_TOKEN` rather than `ANTHROPIC_API_KEY` for authentication. When adding them in CodePilot, the system automatically handles the authentication method — you just need to enter the key provided by the respective platform.
### OpenRouter
Access multiple model providers (Anthropic, OpenAI, Google, Meta, etc.) through OpenRouter's unified interface.
- **Auth**: API Key
- **Advantage**: One key to access multiple models, with automatic routing and failover
### AWS Bedrock
Use Claude through AWS infrastructure.
- **Auth**: Environment variables — requires `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, `AWS_REGION`
- **Note**: After adding in CodePilot, the system reads your AWS environment variables for authentication. No need to enter keys in the UI.
### Google Vertex
Use Claude and Gemini through Google Cloud.
- **Auth**: Environment variables — requires Google Cloud service account credentials
- **Note**: Similar to Bedrock, authenticates via environment variables
### Google Gemini (Image)
Gemini image generation API, used by the design Agent.
- **Auth**: API Key
- **Note**: This is a provider specifically for image generation, not for text conversations
### Custom API (OpenAI-Compatible)
Any endpoint compatible with the OpenAI Chat Completions API.
- **Auth**: API Key + Base URL
- **Use case**: Connect local models (Ollama, LM Studio, vLLM) or other third-party proxies
### LiteLLM
Unified proxy supporting 100+ LLM providers.
- **Auth**: API Key + Base URL
## Adding a Provider
1. Open **Settings > Providers**
2. Click **Add Provider**
3. Select the provider type (or a Chinese provider preset)
4. Enter credentials:
- **API Key type**: Paste the key
- **Custom endpoint**: Also enter the Base URL
- **Environment variable type** (Bedrock / Vertex): Ensure environment variables are set
5. Select a default model
6. Click **Save**
## Switching Providers
- Select from the provider picker in the conversation header
- Each conversation remembers the provider used
- You can switch mid-conversation; subsequent messages will use the new provider
- Click **Set as Default** in the provider list to set the global default
## FAQ
### Environment variables are set but CodePilot doesn't detect them
- Confirm the environment variables are available in the shell environment when CodePilot starts
- If set via `.zshrc` / `.bashrc`, make sure you **restarted CodePilot** (not just refreshed) after the change
- Apps launched via macOS Launchpad may not inherit terminal environment variables — try launching from the terminal or manually adding the provider
### API key is valid but requests fail
- Check if the account has sufficient balance
- Check if the key has model access permissions
- For Chinese providers, check if the corresponding API endpoint is reachable from your network
- For AWS Bedrock, check if IAM permissions include `bedrock:InvokeModel`
### Conversation issues after switching providers
- Different providers have different context window sizes; switching may cause errors if the context is too long
- Some providers do not support all Claude Code features (such as tool use); certain operations may be unavailable after switching
### How to use local models
Select the **Custom API (OpenAI-Compatible)** type, and enter the local service address as the Base URL (e.g., `http://localhost:11434/v1`). The API key can be any value (local services typically don't validate it).
@@ -1,77 +0,0 @@
---
title: Providers
description: Configure LLM providers to power your CodePilot experience.
---
CodePilot supports multiple LLM providers. You can configure one or more providers and switch between them at any time.
## Supported Providers
| Provider | Description | Auth Method |
|----------|-------------|-------------|
| **Anthropic** | Direct access to Claude models (Opus, Sonnet, Haiku) | API Key |
| **Custom API (OpenAI-compatible)** | Any OpenAI-compatible endpoint, including local LLMs | API Key + Base URL |
| **OpenRouter** | Access multiple model providers via OpenRouter | API Key |
| **AWS Bedrock** | Claude via AWS infrastructure | AWS Credentials |
| **Google Vertex** | Claude and Gemini via Google Cloud | Service Account |
| **Google Gemini (Image)** | Gemini image generation | API Key |
| **LiteLLM** | Unified proxy for 100+ LLM providers | API Key + Base URL |
Additional presets are available for Chinese providers: GLM, Kimi/Moonshot, MiniMax, Volcengine Ark, and Aliyun Bailian.
## Adding a Provider
1. Open **Settings** and go to the **Providers** section
2. Click **Add Provider**
3. Select the provider type
4. Enter your credentials:
- For API key providers: paste your API key
- For AWS Bedrock: configure your AWS region and credentials
- For Google Vertex: configure your project ID and region
5. Select a default model
6. Click **Save**
## Switching Providers
You can switch the active provider at any time:
- Use the provider selector in the chat header
- Each conversation remembers which provider was used
- Switching providers mid-conversation is supported
## Provider-Specific Features
### Anthropic
- Supports **extended thinking** mode for complex reasoning
- Token usage tracking with cost estimates
- Full Claude Agent SDK integration
### Custom API (OpenAI-compatible)
- Works with any endpoint that implements the OpenAI chat completions API
- Use this for local LLMs (Ollama, LM Studio, vLLM, etc.) or third-party proxies
- Configure via custom base URL
### OpenRouter
- Access models from Anthropic, OpenAI, Google, Meta, and more through a single API key
- Automatic model routing and fallback
### AWS Bedrock
- Uses your existing AWS IAM credentials
- Supports cross-region inference
- No separate API key needed if AWS CLI is configured
## Environment Variables
Providers can also be configured via environment variables. CodePilot automatically reads your shell environment:
```bash
# Anthropic (auto-detected on startup)
export ANTHROPIC_API_KEY="sk-ant-..."
# AWS Bedrock (uses standard AWS env vars)
export AWS_ACCESS_KEY_ID="..."
export AWS_SECRET_ACCESS_KEY="..."
export AWS_REGION="us-east-1"
```
CodePilot auto-detects `ANTHROPIC_API_KEY` from your shell environment on startup. For other providers, configure credentials directly in the Providers settings UI. If you update environment variables, restart CodePilot to pick up the changes.
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---
title: Skills
description: Extend Claude's capabilities and workflows with skills.
---
# Skills
Skills are reusable prompt templates and tool collections that extend Claude's capabilities for specific scenarios. Think of skills as "skill packs" — load different skills into Claude and it can better handle specific types of tasks.
## Skill Categories
Skills in CodePilot fall into three categories:
### Global
Global skills that apply to all conversations. These are typically foundational capability enhancements, such as code style checking or document generation templates.
### Installed
Skills downloaded from the skill marketplace or imported locally. Can be enabled or disabled as needed.
### Plugins
Skills from MCP servers. When you connect an MCP server, the skills it provides automatically appear here.
## Managing Skills
Click **Skills** in the sidebar to open the management page.
### Browsing the Skill Marketplace
The skill marketplace offers community and officially published skills. You can:
- Browse by category
- Search for skills with specific functionality
- View skill details and usage instructions
- Install with one click
### Local Skills
You can also manage local skill files:
- View existing local skills
- Enable or disable specific skills
- View skill content and configuration
## Using Skills in Conversations
Installed and enabled skills automatically take effect in conversations. You can also manually trigger specific skills using the slash command `/`.
Claude will automatically select appropriate skills based on context to enhance response quality when processing tasks.