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Lark Cli Router

CommunityPopular
daymade
lark-cli-router

Routes any Feishu/Lark/Doubao operation through the version-matched lark-cli domain guide embedded in the installed CLI, then executes and verifies the requested task. Use for 飞书/Lark/Doubao docs, drive, sheets, Base, wiki, minutes, meetings, calendar, IM, mail, tasks, approval, apps, auth/scope, resource URLs or tokens, and lark-cli troubleshooting. This is the single Lark entry point; use ima-skill instead for Tencent IMA.

Overview

Publisherdaymade
Repositoryclaude-code-skills
Skill namelark-cli-router
Stars
1.4K
Forks
219
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by daymade on GitHub. Read the source before you install it.

Installation

Install the Lark Cli Router AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/daymade/claude-code-skills.git /tmp/claude-code-skills
mkdir -p .claude/skills
cp -r /tmp/claude-code-skills/daymade-claude-code/lark-cli-router .claude/skills/lark-cli-router
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lark Cli Router in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Lark Cli Router on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Lark Cli Router is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Lark CLI Router

Use this as the only model-visible Lark entry point. The CLI's embedded lark-* guides are the version-synced source of truth; this router selects and loads them instead of copying their domain instructions into another static catalog.

Boundaries

  • Tencent IMA is a different product. Route IMA notes or knowledge-base tasks to ima-skill, not here.
  • Do not load all Lark guides. Select the smallest matching guide set for the current task.
  • Do not bypass lark-cli with browser automation, raw curl, or guessed API contracts while the CLI or one of its embedded guides covers the task.

Workflow

1. Confirm the runtime

Run lark-cli --version. If the binary is absent, fail visibly and report that lark-cli is required; do not invent another transport or confuse the separate Skill-install command with a CLI-binary installer.

Set LARK_CLI_NO_PROXY=1 for every invocation in this environment. When stable machine-readable JSON is needed, also set LARKSUITE_CLI_NO_UPDATE_NOTIFIER=1 and LARKSUITE_CLI_NO_SKILLS_NOTIFIER=1 so notices do not pollute the result.

2. Select the embedded guide

Run lark-cli skills list --json. Match the user's intent and any URL path or token to the returned name, description, and metadata.cliHelp.

Do not derive the CLI domain by stripping lark- from the guide name: exceptions exist, and metadata.cliHelp or the guide itself is authoritative. These high-confusion routes need explicit care:

IntentGuide
auth, login, profile identity, missing scope, user vs botlark-shared
/wiki/ document contentlark-doc
wiki space, membership, or node hierarchylark-wiki
future meeting or room schedulinglark-calendar
ended meeting search, participants, or meeting artifactslark-vc
known note_idlark-note
minute_token, 妙记 content, or audio-to-minuteslark-minutes
live meeting participation or in-meeting eventslark-vc-agent
file upload, download, move, permissions, metadata, or Office importlark-drive

For ordinary docs, sheets, Base, slides, mail, IM, tasks, approval, apps, and other domains, the live skills list descriptions are the routing table. A multi-domain request may select a workflow guide or a small ordered set of domain guides.

3. Load the selected instructions completely

Read the selected guide before acting:

bash
lark-cli skills read lark-doc
lark-cli skills read lark-doc/references/lark-doc-fetch.md

The first form prints the guide's SKILL.md; the second reads a referenced file. Read every file the selected guide marks required for the current branch.

Embedded reads reject ... Rebase a sibling pointer such as ../lark-whiteboard/references/x.md to:

bash
lark-cli skills read lark-whiteboard/references/x.md

Always try lark-cli skills read first for Markdown and reference files. If it returns reference ... not found, resolve that exact guide-relative path under ~/.agents/skills/<guide-name>/. Before the first such fallback for a guide, confirm with the host's SHA-256 tool that its installed SKILL.md is byte-identical to lark-cli skills read <guide-name>; a mismatch must fail visibly and trigger a bundle refresh. This explicitly keeps lark-apps/creative-design/ reachable even though the current binary does not embed it.

Machine resources under scripts/ or assets/ are never embedded, so resolve them directly in the same installed bundle. If a required file is absent, stop and report that the disk bundle must be installed or refreshed; do not fabricate a replacement.

4. Inspect, execute, and verify

  1. Treat metadata.cliHelp as a help recipe, not always a literal command. Run its concrete commands; resolve any placeholder from the loaded guide first. If the field is absent, use the guide's own commands or the selected domain's --help.
  2. Prefer a matching +shortcut; otherwise use a typed resource command.
  3. Before a typed call whose parameters are not already explicit in the guide, run lark-cli schema <service.resource.method>.
  4. Use lark-cli api only as the documented escape hatch when no shortcut or typed command covers the endpoint.
  5. Preserve any explicitly supplied --profile; never guess a profile or identity. Use lark-cli whoami when identity is material or ambiguous.
  6. For writes, use --dry-run when the command supports a useful preview. If a high-risk write exits 10, present the proposed action and wait for explicit human confirmation; never append --yes automatically.
  7. Treat the command as successful only when its process exits 0 or its JSON envelope has ok == true. Do not test for a top-level code == 0.
  8. After a write, follow the selected guide's domain-specific verification contract. If it defines none, perform the narrowest independent read that proves the requested state changed. A guide that explicitly forbids an opportunistic second query takes precedence. Report partial results or missing coverage.

On authorization errors, load lark-shared and follow its user/bot and missing- scope branch. Do not turn an auth failure into repeated retries or a browser/raw-API fallback.

Frequently asked questions

What does the Lark Cli Router AI skill do?

Routes any Feishu/Lark/Doubao operation through the version-matched lark-cli domain guide embedded in the installed CLI, then executes and verifies the requested task. Use for 飞书/Lark/Doubao docs, drive, sheets, Base, wiki, minutes, meetings, calendar, IM, mail, tasks, approval, apps, auth/scope, resource URLs or tokens, and lark-cli troubleshooting. This is the single Lark entry point; use ima-skill instead for Tencent IMA.

Why use Lark Cli Router on TypingMind?

Because you install it once and use it with any model. Lark Cli Router is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Lark Cli Router in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/daymade/claude-code-skills/tree/main/daymade-claude-code/lark-cli-router. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Lark Cli Router?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Lark Cli Router?

As many as you like. As long as a model supports skills, you can use Lark Cli Router with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Lark Cli Router AI skill free?

Yes. It is published on GitHub by daymade under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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