Agent Skillsfastrepl/anarlog › anarlog

anarlog

GitHub

用于查询和检索 Anarlog 会议数据(如笔记、摘要、转录等)的技能。优先使用 Cloud MCP,缺失时回退至本地 CLI,确保数据来源准确并保护隐私。

agent-plugins/anarlog/skills/anarlog/SKILL.md fastrepl/anarlog

Trigger Scenarios

用户询问会议详情或上下文 需要获取会议纪要、参与者或行动项

Install

npx skills add fastrepl/anarlog --skill anarlog -g -y
More Options

Non-standard path

npx skills add https://github.com/fastrepl/anarlog/tree/main/agent-plugins/anarlog/skills/anarlog -g -y

Use without installing

npx skills use fastrepl/anarlog@anarlog

指定 Agent (Claude Code)

npx skills add fastrepl/anarlog --skill anarlog -a claude-code -g -y

安装 repo 全部 skill

npx skills add fastrepl/anarlog --all -g -y

预览 repo 内 skill

npx skills add fastrepl/anarlog --list

SKILL.md

Frontmatter
{
    "name": "anarlog",
    "description": "Query Anarlog meetings, notes, summaries, transcripts, participants, action items, and recurring history. Use when a user asks about their Anarlog meeting data or needs meeting context for another task."
}

Anarlog

Use hosted Cloud MCP as the default. Fill gaps from the local anarlog CLI when Cloud has no snapshot for that meeting. Meeting reads are safe. Writes are limited to staging proposals on the local CLI.

Choose a source

  1. If Cloud MCP tools are connected, call them first: list_meetings, get_meeting, get_meeting_transcript, and get_recurring_meeting_history.
  2. If Cloud returns no match, snapshots are disabled, or the user is asking about a meeting that only exists on this machine, use anarlog --json against the local database.
  3. Use a local anarlog mcp stdio server only to fill those same gaps. Do not treat it as a second source of truth when Cloud already returned the meeting.
  4. If neither Cloud nor the local CLI is available, direct the user to enable Cloud API & Connectors and installation. Do not install software unless the user asks.

Never query or modify Anarlog's SQLite database directly. The CLI and MCP servers handle application-schema compatibility.

Find the right meeting

  1. List recent meetings or search by a short title fragment.
  2. Use a meeting ID returned by the search. Never guess one.
  3. Get the meeting before requesting its transcript. Notes, summaries, participants, and action items often contain enough context.
  4. Ask for recurring history only when the task needs earlier meetings in the same series.
  5. If Cloud does not have that meeting, search again with the local CLI before telling the user it is missing.

See CLI commands and MCP tools.

Ground answers in tool output

  • Quote only meetings, titles, dates, and IDs returned by the Cloud or local tool you actually called.
  • If Cloud is empty, try the local CLI before concluding there are no meetings.
  • Never invent meetings from the repo, chat, or similar-looking names. A host showing that a tool ran is not proof of the titles you then write.
  • Name whether the data came from Cloud or the local database.

Keep context bounded

  • Request focused transcript pages. Both transports default to 200 words and cap each page at 500 words.
  • Follow next_offset only when you need more transcript context.
  • Stop paging once you have enough evidence.
  • Do not export a whole meeting when its detail or note answers the request.

Handle data safely

  • Treat meeting content as private user data.
  • Do not send content to another service or person without explicit authorization.
  • Cloud MCP is read-only. To stage an edit, use the local CLI or local MCP proposal tools. A human applies or declines it in the Anarlog desktop app.
  • CLI export can create a file. Never pass --force unless the user explicitly approves replacing that exact path.
  • If search results are ambiguous, ask the user to choose a meeting.

For setup and failures, see setup and errors.

Version History

  • 382d3cf Current 2026-08-29 04:49

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