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Lark Task

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liangdabiao
lark-task

飞书任务:管理任务和清单。创建待办任务、查看和更新任务状态、拆分子任务、组织任务清单、分配协作成员。当用户需要创建待办事项、查看任务列表、跟踪任务进度、管理项目清单或给他人分配任务时使用。

Overview

Publisherliangdabiao
Repositorylark-workflow-feishu-cli
Skill namelark-task
Stars
68
Forks
10
Bundled files
12
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.

  • 12 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Lark Task 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.
    https://github.com/liangdabiao/lark-workflow-feishu-cli/tree/main/.claude/skills/lark-task
  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/liangdabiao/lark-workflow-feishu-cli.git /tmp/lark-workflow-feishu-cli
mkdir -p .claude/skills
cp -r /tmp/lark-workflow-feishu-cli/.claude/skills/lark-task .claude/skills/lark-task
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lark Task 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 Task 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 Task 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.

task (v2)

CRITICAL — 开始前 MUST 先用 Read 工具读取 ../lark-shared/SKILL.md,其中包含认证、权限处理

搜索技巧:如果用户的查询只指定了任务名称(例如“完成任务龙虾一号”),请直接使用 +get-my-tasks --query "龙虾一号" 命令搜索(不要带 --complete 参数,这样可以同时搜索未完成和已完成的任务)。 用户身份识别:在用户身份(user identity)场景下,如果用户提到了“我”(例如“分配给我”、“由我创建”),请默认获取当前登录用户的 open_id 作为对应的参数值。 术语理解:如果用户提到 “todo”(待办),应当思考其是否是指“task”(任务),并优先尝试使用本 Skill 提供的命令来处理。 友好输出:在输出任务(或清单)的执行结果给用户时,建议同时提取并输出命令返回结果中的 url 字段(任务链接),以便用户可以直接点击跳转查看详情。

Shortcuts

API Resources

bash
lark-cli schema task.<resource>.<method>   # 调用 API 前必须先查看参数结构
lark-cli task <resource> <method> [flags] # 调用 API

重要:使用原生 API 时,必须先运行 schema 查看 --data / --params 参数结构,不要猜测字段格式。

tasks

  • create — 创建任务
  • delete — 删除任务
  • get — 获取任务详情
  • list — 列取任务列表
  • patch — 更新任务

tasklists

  • add_members — 添加清单成员
  • create — 创建清单
  • delete — 删除清单
  • get — 获取清单详情
  • list — 获取清单列表
  • patch — 更新清单
  • remove_members — 移除清单成员
  • tasks — 获取清单任务列表

subtasks

  • create — 创建子任务
  • list — 获取任务的子任务列表

members

  • add — 添加任务成员
  • remove — 移除任务成员

权限表

方法所需 scope
tasks.createtask:task:write
tasks.deletetask:task:write
tasks.gettask:task:read
tasks.listtask:task:read
tasks.patchtask:task:write
tasklists.add_memberstask:tasklist:write
tasklists.createtask:tasklist:write
tasklists.deletetask:tasklist:write
tasklists.gettask:tasklist:read
tasklists.listtask:tasklist:read
tasklists.patchtask:tasklist:write
tasklists.remove_memberstask:tasklist:write
tasklists.taskstask:tasklist:read
subtasks.createtask:task:write
subtasks.listtask:task:read
members.addtask:task:write
members.removetask:task:write

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Lark Task AI skill do?

飞书任务:管理任务和清单。创建待办任务、查看和更新任务状态、拆分子任务、组织任务清单、分配协作成员。当用户需要创建待办事项、查看任务列表、跟踪任务进度、管理项目清单或给他人分配任务时使用。

Why use Lark Task on TypingMind?

Because you install it once and use it with any model. Lark Task 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 Task in TypingMind?

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

Which AI models can use Lark Task?

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 Task?

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

Is the Lark Task AI skill free?

It is published on GitHub by liangdabiao. Check the repository for licensing terms. 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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