Feishu Doc
openclaw/openclaw
Feishu document read/write workflows. An agent skill from openclaw/openclaw.
Unified Lark/Feishu CLI suite covering messaging, documents, collaboration, scheduling, and more.
Install Lark Unified
$ npx skills add infometa/workbuddyskills --skill lark-unified -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install infometa/workbuddyskills lark-unified --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/lark-unified .claude/skills/lark-unified && rm -rf skills-srcUse ~/.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/
Install the "lark-unified" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/lark-unified into .claude/skills/lark-unified/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-unified", 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 install https://github.com/infometa/workbuddyskills/tree/main/skills/lark-unifiedType 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.
$ npx skills add infometa/workbuddyskills --skill lark-unified -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install infometa/workbuddyskills lark-unified --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/lark-unified .agents/skills/lark-unified && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "lark-unified" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/lark-unified into .agents/skills/lark-unified/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-unified", 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.
$ npx skills add infometa/workbuddyskills --skill lark-unified -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install infometa/workbuddyskills lark-unified --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/lark-unified .cursor/skills/lark-unified && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "lark-unified" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/lark-unified into .cursor/skills/lark-unified/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-unified", 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 https://github.com/infometa/workbuddyskills.git --path skills/lark-unified--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add infometa/workbuddyskills --skill lark-unified -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install infometa/workbuddyskills lark-unified --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/lark-unified .gemini/skills/lark-unified && rm -rf skills-srcUse ~/.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/
Install the "lark-unified" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/lark-unified into .gemini/skills/lark-unified/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-unified", 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.
$ gh skill install infometa/workbuddyskills lark-unifiedInstalls 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).
$ npx skills add infometa/workbuddyskills --skill lark-unified -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/lark-unified .github/skills/lark-unified && rm -rf skills-srcUse ~/.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/
Install the "lark-unified" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/lark-unified into .github/skills/lark-unified/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-unified", 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.
$ npx skills add infometa/workbuddyskills --skill lark-unified -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install infometa/workbuddyskills lark-unified --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/infometa/workbuddyskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/lark-unified .opencode/skills/lark-unified && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "lark-unified" agent skill from https://github.com/infometa/workbuddyskills/tree/main/skills/lark-unified into .opencode/skills/lark-unified/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-unified", 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-unified- GitHub stars
- 348
- Token cost
- ~4.6k tokens
- SKILL.md length
- 1,811 words
- Files
- 14 (incl. scripts, references)
- Skills in repo
- 218
- Repo updated
- First seen
- Licence
- None found
At a glance
Unified Lark/Feishu CLI suite covering messaging, documents, collaboration, scheduling, and more.
- Works in 3 steps: You already have the device_code — just… → Do NOT re-run the begin step… → The authorization_pending response…
- Working with Lark/Feishu through CLI
- SKILL.md covers ⚠️ SETUP RULES — READ BEFORE…, First-use bootstrap — app…, Fail-fast rules for auth and… and Getting Started, plus 5 more sections
- Runs Python scripts from its folder; calls python3 and npm
What it does
Lark Unified is an agent skill from infometa/workbuddyskills. Unified Lark/Feishu CLI suite covering messaging, documents, collaboration, scheduling, and more. Provides 200+ commands across 11 business domains including instant messaging (IM), cloud documents, spreadsheets, base/tables, calendars, mail, tasks, wikis, video conferences, and custom integrations. Use when working with Lark/Feishu through CLI or needing to understand Lark API capabilities for: sending/receiving messages, managing documents and files, creating spreadsheets, managing tasks and calendars…
Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 15 other files, including scripts and reference files (for example `references/api_reference.md`, `references/lark-base.md` and `references/lark-calendar.md`).
It sits in Productivity & Automation, covering Messaging and chat bots. It works with Feishu (Lark). The repository describes itself as: WorkBuddy skills / connectors / experts archive for offline study.
When your agent uses it
- Working with Lark/Feishu through CLI
- Needing to understand Lark API capabilities for: sending/receiving messages
- Managing documents and files
- Creating spreadsheets
Example prompts
- “/lark-unified”
Requirements
- Python 3
- Node.js
- Pre-approved tools (allowed-tools): Bash, Read
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- You already have the device_code — just keep polling with it until the user confirms in the browser.
- Do NOT re-run the begin step unnecessarily. Reuse the existing device_code.
- The authorization_pending response during polling is normal — it means the user hasn't finished yet. Wait and retry.
What it can do on your machine
Read from SKILL.md and the folder at commit 91b77ea. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
BashRead
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3npm
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use npm, which can reach the network depending on how they are called.
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 Unified loads about 4.6k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 155 tokens; SKILL.md has 1,811 words of instructions outside code blocks.
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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash, Read
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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,811 words (~4,592 tokens).
“Lark (飞书) is a comprehensive collaboration platform combining messaging, documents, spreadsheets, tables, calendars, and more. This skill provides unified access to the Lark CLI (lark-cli), a production-grade command-line tool with 200+ commands across 11 integrated business domains, along with 19…”
- name
- lark-unified
- allowed-tools
- Bash, Read
- description_zh
- 飞书/Lark 全能套件（消息、文档、表格、日历、任务、Wiki 等 11 个业务域）
- description_en
- Lark/Feishu unified CLI: messaging, docs, sheets, calendar, tasks, wiki & more
- version
- 1.0.3
Files
SKILL.md and 13 other files (scripts, references) in skills/lark-unified of infometa/workbuddyskills.
- SKILL.md
- references/api_reference.md
- references/lark-base.md
- references/lark-calendar.md
- references/lark-doc.md
- references/lark-drive.md
- references/lark-im.md
- references/lark-mail.md
- references/lark-shared.md
- references/lark-sheets.md
- references/lark-task.md
- references/lark-wiki.md
- references/other-domains.md
- scripts/lark_setup.py
Open the folder on GitHubat commit 91b77ea
Compare with similar skills
Lark Unified next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Lark Unified this skillinfometa/workbuddyskills | 348 | — | ~4.6k | Automated safety check: Notes | None | |
| Feishu Docopenclaw/openclaw | 392k | — | ~516 | Automated safety check: Pass | MIT | |
| Feishu Docraucvr/Group-Goki | 112 | 3 repos | ~592 | Automated safety check: Pass | MIT | |
| Feishu DocCatCatUncle/openworkbuddy | 282 | — | ~750 | Automated safety check: Pass | Custom licence | |
| Cc Connectarchibate/dotfiles-opencode | 108 | — | ~1.2k | Automated safety check: Pass | None | |
| Feishu Driveraucvr/Group-Goki | 112 | 3 repos | ~587 | Automated safety check: Pass | MIT |
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This skill should be used when sending images, files, or notifications back to the user via messaging platforms (Discord, Feishu, Telegram, etc.) through cc-connect.
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Works with
Questions about Lark Unified
What does Lark Unified do?
Unified Lark/Feishu CLI suite covering messaging, documents, collaboration, scheduling, and more. Lark Unified is an agent skill from infometa/workbuddyskills. Unified Lark/Feishu CLI suite covering messaging, documents, collaboration, scheduling, and more.
When should I use Lark Unified?
Lark Unified fits situations like: working with Lark/Feishu through CLI; needing to understand Lark API capabilities for: sending/receiving messages; managing documents and files; creating spreadsheets.
How do I install Lark Unified in Claude Code?
Run `npx skills add infometa/workbuddyskills --skill lark-unified -a claude-code`. Or copy the skill folder (skills/lark-unified in infometa/workbuddyskills) into .claude/skills/lark-unified in your project. Claude Code loads it when a task matches its description.
How do I install Lark Unified in Codex?
Run `npx skills add infometa/workbuddyskills --skill lark-unified -a codex`. Or copy the skill folder (skills/lark-unified in infometa/workbuddyskills) into .agents/skills/lark-unified in your project. Codex loads it when a task matches its description.
Can I use Lark Unified 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 infometa/workbuddyskills --skill lark-unified -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-unified, .gemini/skills/lark-unified, .github/skills/lark-unified and .opencode/skills/lark-unified in your project.
What does Lark Unified need to run?
Going by SKILL.md and its folder, Lark Unified needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and npm). Our summary lists: Python 3; Node.js. Its frontmatter pre-approves these tools: Bash, Read.
Does Lark Unified access the network?
SKILL.md contains no URLs. Its commands use npm, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Lark Unified safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Lark Unified use?
No licence was found for Lark Unified or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Lark Unified use?
About 4.6k tokens (SKILL.md is roughly 18k 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 9.7k tokens, read only when the agent opens those files.
What are the alternatives to Lark Unified?
Skills that share tags, products or a category with Lark Unified: Feishu Doc (openclaw/openclaw, 392k stars), Feishu Doc (raucvr/Group-Goki, 112 stars), Feishu Doc (CatCatUncle/openworkbuddy, 282 stars) and Cc Connect (archibate/dotfiles-opencode, 108 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Lark Unified?
infometa (a GitHub user) maintains it in infometa/workbuddyskills, which has 348 GitHub stars. The repository holds 218 skills in this directory. The repository was last updated on October 9, 2026.
Source: infometa/workbuddyskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.