Agent skill

Lark Task

by appleweiping in appleweiping/WEIPING_WIKI

飞书任务：管理任务、清单和任务智能体。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、上传任务附件、注册或注销任务智能体、更新任务智能体的主页数据、写入智能体任务记录。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、为任务上传附件文件、注册注销任务智能体、更新智能体主页数据、写入任务记录时使用。

MITAuto-check passedProductivity & Automation

Install Lark Task

skills CLI

$ npx skills add appleweiping/WEIPING_WIKI --skill lark-task -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install appleweiping/WEIPING_WIKI lark-task --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill/lark-cli/skills/lark-task .claude/skills/lark-task && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "lark-task" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/skills/lark-task into .claude/skills/lark-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-task", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/skills/lark-task

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add appleweiping/WEIPING_WIKI --skill lark-task -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install appleweiping/WEIPING_WIKI lark-task --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skill/lark-cli/skills/lark-task .agents/skills/lark-task && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "lark-task" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/skills/lark-task into .agents/skills/lark-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-task", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add appleweiping/WEIPING_WIKI --skill lark-task -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install appleweiping/WEIPING_WIKI lark-task --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skill/lark-cli/skills/lark-task .cursor/skills/lark-task && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "lark-task" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/skills/lark-task into .cursor/skills/lark-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-task", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/appleweiping/WEIPING_WIKI.git --path skill/lark-cli/skills/lark-task

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add appleweiping/WEIPING_WIKI --skill lark-task -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install appleweiping/WEIPING_WIKI lark-task --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skill/lark-cli/skills/lark-task .gemini/skills/lark-task && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "lark-task" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/skills/lark-task into .gemini/skills/lark-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-task", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install appleweiping/WEIPING_WIKI lark-task

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add appleweiping/WEIPING_WIKI --skill lark-task -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .github/skills && cp -r skills-src/skill/lark-cli/skills/lark-task .github/skills/lark-task && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "lark-task" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/skills/lark-task into .github/skills/lark-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-task", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add appleweiping/WEIPING_WIKI --skill lark-task -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install appleweiping/WEIPING_WIKI lark-task --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skill/lark-cli/skills/lark-task .opencode/skills/lark-task && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "lark-task" agent skill from https://github.com/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/skills/lark-task into .opencode/skills/lark-task/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-task", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: lark-task
GitHub stars: 119
Used in: 4 other repos
Token cost: ~1.7k tokens
SKILL.md length: 371 words
Files: 19 (incl. references)
Skills in repo: 51
Repo updated: Aug 26, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Tasks that involve Messaging and chat bots
SKILL.md covers Shortcuts, API Resources and 权限表
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Lark Task is an agent skill from appleweiping/WEIPING_WIKI. 飞书任务：管理任务、清单和任务智能体。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、上传任务附件、注册或注销任务智能体、更新任务智能体的主页数据、写入智能体任务记录。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、为任务上传附件文件、注册注销任务智能体、更新智能体主页数据、写入任务记录时使用。

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 19 other files, including reference files (for example `references/lark-task-assign.md`, `references/lark-task-comment.md` and `references/lark-task-complete.md`).

It sits in Productivity & Automation, covering Messaging and chat bots. The repository describes itself as: knowledge base managed with an LLM workflow. The licence is MIT.

When your agent uses it

Tasks that involve Messaging and chat bots

Example prompts

“/lark-task”

What it can do on your machine

Read from SKILL.md and the folder at commit 76fdc42. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Lark Task loads about 1.7k tokens when it runs, and up to ~9.3k if it reads all its reference files. Until then it costs about 47 tokens; SKILL.md has 371 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~47
When it runs · the whole SKILL.md, loaded when a task matches: ~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~9.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from appleweiping/WEIPING_WIKI at commit 76fdc42, republished under its MIT licence (© appleweiping). 371 words, ~1,695 tokens.

Download SKILL.mdSave it as .claude/skills/lark-task/SKILL.md (or your agent's skills folder). This skill also uses 18 other files; get the full folder from GitHub.

name: lark-task
description: 飞书任务：管理任务、清单和任务智能体。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、上传任务附件、注册或注销任务智能体、更新任务智能体的主页数据、写入智能体任务记录。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、为任务上传附件文件、注册注销任务智能体、更新智能体主页数据、写入任务记录时使用。
version: 1.0.0
metadata.cliHelp: lark-cli task --help

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

任务搜索技巧：先区分用户是否特地指定使用搜索 skill，以及是否真的提供了查询关键字（例如任务名称、关键词、片段描述）。如果用户特地指定使用搜索 skill，或明确给出了任务查询关键字，则目标是任务时优先使用 +search。如果用户没有特地指定使用搜索 skill，且意图里没有查询关键字，只有范围条件（例如“今年以来”“已完成”“由我创建”“我关注的”），并且使用 +search 与 +get-related-tasks / +get-my-tasks 都能达到目的时，应优先使用列表型能力，而不是搜索型能力。其中，“与我相关 / 我关注的 / 由我创建”等优先考虑 +get-related-tasks；“我负责的 / 分配给我”的列表优先考虑 +get-my-tasks。不要把时间范围词（例如“今年以来”）本身误当成 query 去走搜索。 任务清单搜索技巧：任务清单也遵循同样的判断逻辑。先区分用户是否特地指定使用搜索 skill，以及是否真的提供了清单查询关键字（例如清单名称、关键词、片段描述）。如果用户特地指定使用搜索 skill，或明确给出了清单查询关键字，则优先使用 +tasklist-search。如果用户没有特地指定使用搜索 skill，且意图里没有查询关键字，只有范围条件（例如“由我创建的任务清单”“今年以来创建的清单”），并且使用搜索或原生列取清单都能达到目的时，应优先使用原生 tasklists.list 接口列取清单（先 schema task.tasklists.list，再 lark-cli task tasklists list --as user ...），再按 creator、created_at 等字段做本地筛选和分页控制。 意图区分补充：像“搜索飞书中今年以来我关注的任务”这类表达，虽然字面带有“搜索”，但如果没有真正的查询关键字，且本质是在限定“与我相关 + 时间范围”，则应优先走 +get-related-tasks；像“搜索飞书中由我创建的任务清单”这类表达，如果没有清单关键字，且本质是在限定“清单范围 + 创建者”，则应优先走原生 tasklists.list 后筛选，而不是直接走搜索型 shortcut。 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。

创建/更新注意：

只有在设置了 due（截止时间）的情况下，才能设置 repeat_rule（重复规则）和 reminder（提醒时间）。

若同时设置了 start（开始时间）和 due（截止时间），开始时间必须小于或等于截止时间。

使用 tenant_access_token（应用身份）时，无法跨租户添加任务成员。

查询注意：

在输出任务详情时，如果需要渲染负责人、创建人等人员字段，除了展示 id (例如 open_id) 外，还必须通过其他方式（例如调用通讯录技能）尝试获取并展示这个人的真实名字，以便用户更容易识别。

在输出清单详情时，如果需要渲染 owner、member、角色成员等人员字段，也必须像任务成员展示一样，除了展示 id 外，尽量解析并展示对应人员的真实名字。

在输出任务或清单详情时，如果需要渲染创建时间、截止时间等字段，需要使用本地时区来渲染（格式为2006-01-02 15:04:05）。

Task GUID 定义： Task OpenAPI 中用于更新/操作任务的 guid 是任务的全局唯一标识（GUID），不是客户端展示的任务编号（例如 t104121 / suite_entity_num）。对于 Feishu 的任务 applink（例如 .../client/todo/task?guid=...），必须使用 URL query 里的 guid 参数作为 task guid。

Shortcuts

+create — Create a task
+update — Update a task
+comment — Add a comment to a task
+complete — Complete a task
+reopen — Reopen a task
+assign — Assign or remove members from a task
+followers — Manage task followers
+reminder — Manage task reminders
+get-my-tasks — List tasks assigned to me
+get-related-tasks — List tasks related to me
+search — Search tasks
+subscribe-event — Subscribe to task events
+set-ancestor — Set or clear a task ancestor
+tasklist-create — Create a tasklist and batch add tasks
+tasklist-search — Search tasklists
+tasklist-task-add — Add existing tasks to a tasklist
+tasklist-members — Manage tasklist members
+upload-attachment — Upload a file as a task attachment

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。

Show full SKILL.md (152 more words)Show less

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

sections

create — 创建自定义分组
delete — 删除自定义分组
get — 获取自定义分组详情
list — 获取自定义分组列表
patch — 更新自定义分组
tasks — 获取自定义分组任务列表

custom_fields

create — 创建自定义字段
get — 获取自定义字段详情
patch — 更新自定义字段
list — 获取自定义字段列表
add — 将自定义字段加入资源
remove — 将自定义字段移出资源

custom_field_options

create — 创建自定义字段选项
patch — 更新自定义字段选项

agent

update_agent_profile — 更新任务代理的主页内容数据。
register_agent — 注册AI 智能体

agent_task_step_info

append_task_steps — 写入任务记录。

权限表

方法	所需 scope
`tasks.create`	`task:task:write`
`tasks.delete`	`task:task:write`
`tasks.get`	`task:task:read`
`tasks.list`	`task:task:read`
`tasks.patch`	`task:task:write`
`tasklists.add_members`	`task:tasklist:write`
`tasklists.create`	`task:tasklist:write`
`tasklists.delete`	`task:tasklist:write`
`tasklists.get`	`task:tasklist:read`
`tasklists.list`	`task:tasklist:read`
`tasklists.patch`	`task:tasklist:write`
`tasklists.remove_members`	`task:tasklist:write`
`tasklists.tasks`	`task:tasklist:read`
`subtasks.create`	`task:task:write`
`subtasks.list`	`task:task:read`
`members.add`	`task:task:write`
`members.remove`	`task:task:write`
`sections.create`	`task:section:write`
`sections.delete`	`task:section:write`
`sections.get`	`task:section:read`
`sections.list`	`task:section:read`
`sections.patch`	`task:section:write`
`sections.tasks`	`task:section:read`
`custom_fields.create`	`task:custom_field:write`
`custom_fields.get`	`task:custom_field:read`
`custom_fields.patch`	`task:custom_field:write`
`custom_fields.list`	`task:custom_field:read`
`custom_fields.add`	`task:custom_field:write`
`custom_fields.remove`	`task:custom_field:write`
`custom_field_options.create`	`task:custom_field:write`
`custom_field_options.patch`	`task:custom_field:write`
`agent.update_agent_profile`	`task:task:write`
`agent.register_agent`	`task:task:write`
`agent_task_step_info.append_task_steps`	`task:task:write`
`+upload-attachment`	`task:attachment:write`

Files

SKILL.md and 18 other files (references) in skill/lark-cli/skills/lark-task of appleweiping/WEIPING_WIKI.

SKILL.md
references/lark-task-assign.md
references/lark-task-comment.md
references/lark-task-complete.md
references/lark-task-create.md
references/lark-task-followers.md
references/lark-task-get-my-tasks.md
references/lark-task-get-related-tasks.md
references/lark-task-reminder.md
references/lark-task-reopen.md
references/lark-task-search.md
references/lark-task-set-ancestor.md
references/lark-task-subscribe-event.md
references/lark-task-tasklist-create.md
references/lark-task-tasklist-members.md
references/lark-task-tasklist-search.md
references/lark-task-tasklist-task-add.md
references/lark-task-update.md
references/lark-task-upload-attachment.md

Open the folder on GitHubat commit 76fdc42

Used in 4 other repositories

We found 4 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 4 other GitHub owners. This page covers the copy in appleweiping/WEIPING_WIKI, which our catalogue first saw on October 7, 2026.

Compare with similar skills

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Feishu Doc
openclaw/openclaw
Feishu document read/write workflows. An agent skill from openclaw/openclaw.
392k GitHub stars~516 tokensUpdated today
Productivity & AutomationAuto-check passed
She Love Me
863401402/she-love-me
Acquire, import, and analyze WeChat or QQ chat histories, including installing supported exporters, guiding required login or contact selection, converting exports, assessing relationship dynamics…
925 GitHub starsUsed in 1 repo~1.3k tokens
Productivity & AutomationAuto-check passed
Feishu Doc
raucvr/Group-Goki
Feishu document read/write operations. An agent skill from raucvr/Group-Goki.
112 GitHub starsUsed in 3 repos~592 tokens
Productivity & AutomationAuto-check passed
Wechat Article Extractor
freestylefly/wechat-article-extractor-skill
Extract metadata and content from WeChat Official Account articles.
136 GitHub starsUsed in 1 repo~1k tokens
Productivity & AutomationAuto-check passed
Wechat Miniprogram Builder
chenjin-cmd/wechat-miniprogram-builder
This skill should be used when the user wants to build, launch, monetize, or promote a WeChat mini-program with AI (vibe coding) — including topic selection, account registration & ICP filing…
355 GitHub stars~634 tokensUpdated 2 mo ago
Productivity & AutomationAuto-check passed
Slack
huangruiteng/CS-Notes
A skill your agent uses when you need to control Slack from Clawdbot via the slack tool, including reacting to messages or pinning/unpinning items in Slack channels or DMs.
4k GitHub starsUsed in 10 repos~578 tokens
Productivity & AutomationAuto-check passed

More from appleweiping/WEIPING_WIKI

All 51 skills in this repo

Communication Assistant
appleweiping/WEIPING_WIKI
Unified lazy-mode communication assistant for Vipin across WhatsApp, WeChat, QQ, Feishu/Lark, and email.
119 GitHub stars~1.1k tokensUpdated 1 mo ago
Auto-check passed
Content Refinement Agent
appleweiping/WEIPING_WIKI
Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from appleweiping/WEIPING_WIKI.
119 GitHub stars~3k tokensUpdated 1 mo ago
Auto-check passed
Chrome Automation
appleweiping/WEIPING_WIKI
Connect to and control Google Chrome browser using agent-browser with CDP (Chrome DevTools Protocol).
119 GitHub starsUsed in 1 repo~5.3k tokens
Auto-check: warnings
Email Assistant
appleweiping/WEIPING_WIKI
Personal Gmail and Google Workspace email assistant for Vipin.
119 GitHub stars~1.3k tokensUpdated 1 mo ago
Auto-check passed
Wechat Video Channel Publish
appleweiping/WEIPING_WIKI
A skill your agent uses when the user wants to log into 微信视频号, validate cookie state, upload videos, set scheduled publish time, fill long description, set a cover image, or save drafts through a…
119 GitHub stars~765 tokensUpdated 1 mo ago
Auto-check passed
Feishu Bridge
appleweiping/WEIPING_WIKI
Route Feishu/Lark content access for Codex. An agent skill from appleweiping/WEIPING_WIKI.
119 GitHub stars~906 tokensUpdated 1 mo ago
Auto-check passed

Questions about Lark Task

What does Lark Task do?

When should I use Lark Task?

Lark Task fits situations like: tasks that involve Messaging and chat bots.

How do I install Lark Task in Claude Code?

Run `npx skills add appleweiping/WEIPING_WIKI --skill lark-task -a claude-code`. Or copy the skill folder (skill/lark-cli/skills/lark-task in appleweiping/WEIPING_WIKI) into .claude/skills/lark-task in your project. Claude Code loads it when a task matches its description.

How do I install Lark Task in Codex?

Run `npx skills add appleweiping/WEIPING_WIKI --skill lark-task -a codex`. Or copy the skill folder (skill/lark-cli/skills/lark-task in appleweiping/WEIPING_WIKI) into .agents/skills/lark-task in your project. Codex loads it when a task matches its description.

Can I use Lark Task in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add appleweiping/WEIPING_WIKI --skill lark-task -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/lark-task, .gemini/skills/lark-task, .github/skills/lark-task and .opencode/skills/lark-task in your project.

What does Lark Task need to run?

SKILL.md names no scripts, command-line tools or credentials: Lark Task is instructions for the agent only.

Does Lark Task access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Lark Task safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Lark Task use?

Lark Task is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Lark Task use?

About 1.7k tokens (SKILL.md is roughly 6.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.6k tokens, read only when the agent opens those files.

What are the alternatives to Lark Task?

Skills that share tags, products or a category with Lark Task: Feishu Doc (openclaw/openclaw, 392k stars), She Love Me (863401402/she-love-me, 925 stars), Feishu Doc (raucvr/Group-Goki, 112 stars) and Wechat Article Extractor (freestylefly/wechat-article-extractor-skill, 136 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Lark Task?

appleweiping (a GitHub user) maintains it in appleweiping/WEIPING_WIKI, which has 119 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on August 26, 2026.

Source: appleweiping/WEIPING_WIKI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Lark Task

Facts

At a glance

What it does

When your agent uses it

Example prompts

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

task (v2)

Shortcuts

API Resources

tasks

tasklists

subtasks

members

sections

custom_fields

custom_field_options

agent

agent_task_step_info

权限表

Files

Used in 4 other repositories

Compare with similar skills

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Related

Questions about Lark Task