Skills

Feishu

Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP...

Install

npx skills add codewhale-hq/Codewhale --skill feishu -g -a claude-code -y
Repository
codewhale-hq/Codewhale41.2k
Category
AI and agents
Updated
3d ago
License
MIT
Context cost
Lightabout 373 tokens
Runs scripts
No, instructions only

What it does

Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.

Feishu / Lark

Use this skill when the user asks for Feishu, Lark, or "飞书" integration work.

Ground Rules

  • Feishu China APIs use open.feishu.cn; Lark international APIs use open.larksuite.com.
  • Never hardcode app secrets, webhook secrets, tenant tokens, or user tokens. Use environment variables such as FEISHU_APP_ID, FEISHU_APP_SECRET, FEISHU_WEBHOOK_URL, and FEISHU_WEBHOOK_SECRET.
  • If credentials are unavailable, produce setup instructions or a local stub instead of pretending the integration is live.

Common Use Cases

  • Bot webhook messages
  • App access token and tenant access token flows
  • Docs, Sheets, Wiki, and Bitable reads/writes
  • Approval or workflow status updates
  • Feishu/Lark MCP server configuration

Workflow

  1. Clarify whether the target is Feishu or Lark.
  2. Identify the credential type: webhook, internal app, marketplace app, or OAuth user token.
  3. Prefer official OpenAPI endpoints and signed webhooks when secrets are configured.
  4. For MCP, build or configure a server that exposes narrow tools such as send_message, read_doc, append_sheet_row, or query_bitable.
  5. Register the MCP server with codewhale mcp add, then run codewhale mcp validate and codewhale mcp tools.
  6. Verify with a dry run, sandbox document, or read-back call before sending externally visible messages.

Ask for confirmation before sending messages, writing production documents, or changing approval/workflow state.

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