Lark Whiteboard
appleweiping/WEIPING_WIKI
飞书画板：查询和编辑飞书云文档中的画板。支持导出画板为预览图片、导出原始节点结构、使用 DSL（转成 OpenAPI 格式）、PlantUML/Mermaid 格式更新画板内容。
飞书 / Lark 通讯录:按姓名 / 邮箱解析成 openid,或按 openid 反查姓名 / 部门 / 邮箱 / 联系方式 / 个人状态 / 签名。当用户提到某人姓名要下一步发消息 / 排日程,或拿到 openid 想查具体信息时使用。不负责部门树遍历、按部门列员工、组织架构图,这类需求走原生 OpenAPI。
Install Lark Contact
$ npx skills add rongxinzy/RongxinAI --skill lark-contact -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rongxinzy/RongxinAI lark-contact --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/rongxinzy/RongxinAI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/MCPs/feishu/skills/lark-contact .claude/skills/lark-contact && 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-contact" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-contact into .claude/skills/lark-contact/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-contact", 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/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-contactType 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 rongxinzy/RongxinAI --skill lark-contact -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rongxinzy/RongxinAI lark-contact --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .agents/skills && cp -r skills-src/MCPs/feishu/skills/lark-contact .agents/skills/lark-contact && 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-contact" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-contact into .agents/skills/lark-contact/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-contact", 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 rongxinzy/RongxinAI --skill lark-contact -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rongxinzy/RongxinAI lark-contact --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/MCPs/feishu/skills/lark-contact .cursor/skills/lark-contact && 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-contact" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-contact into .cursor/skills/lark-contact/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-contact", 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/rongxinzy/RongxinAI.git --path MCPs/feishu/skills/lark-contact--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 rongxinzy/RongxinAI --skill lark-contact -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rongxinzy/RongxinAI lark-contact --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/MCPs/feishu/skills/lark-contact .gemini/skills/lark-contact && 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-contact" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-contact into .gemini/skills/lark-contact/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-contact", 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 rongxinzy/RongxinAI lark-contactInstalls 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 rongxinzy/RongxinAI --skill lark-contact -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .github/skills && cp -r skills-src/MCPs/feishu/skills/lark-contact .github/skills/lark-contact && 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-contact" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-contact into .github/skills/lark-contact/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-contact", 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 rongxinzy/RongxinAI --skill lark-contact -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rongxinzy/RongxinAI lark-contact --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rongxinzy/RongxinAI.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/MCPs/feishu/skills/lark-contact .opencode/skills/lark-contact && 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-contact" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-contact into .opencode/skills/lark-contact/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-contact", 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-contact- GitHub stars
- 154
- Used in
- 2 other repos
- Token cost
- ~479 tokens
- SKILL.md length
- 83 words
- Files
- 3 (incl. references)
- Skills in repo
- 94
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
飞书 / Lark 通讯录:按姓名 / 邮箱解析成 openid,或按 openid 反查姓名 / 部门 / 邮箱 / 联系方式 / 个人状态 / 签名。当用户提到某人姓名要下一步发消息 / 排日程,或拿到 openid 想查具体信息时使用。不负责部门树遍历、按部门列员工、组织架构图,这类需求走原生 OpenAPI。
- Tasks that involve Messaging and chat bots
- SKILL.md covers 选哪个命令, 典型场景, 注意事项 and 不在本 skill 范围
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Tasks that involve OpenAPI specifications
What it does
Lark Contact is an agent skill from rongxinzy/RongxinAI. 飞书 / Lark 通讯录:按姓名 / 邮箱解析成 openid,或按 openid 反查姓名 / 部门 / 邮箱 / 联系方式 / 个人状态 / 签名。当用户提到某人姓名要下一步发消息 / 排日程,或拿到 openid 想查具体信息时使用。不负责部门树遍历、按部门列员工、组织架构图,这类需求走原生 OpenAPI。
Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/lark-contact-get-user.md` and `references/lark-contact-search-user.md`).
It sits in Productivity & Automation, covering Messaging and chat bots and OpenAPI specifications. It works with OpenAPI. The repository describes itself as: An all-in-one local AI Agent workspace with a fully self-developed stack. The licence is AGPL-3.0.
When your agent uses it
- Tasks that involve Messaging and chat bots
- Tasks that involve OpenAPI specifications
Example prompts
- “/lark-contact”
What it can do on your machine
Read from SKILL.md and the folder at commit 9c64865. 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 Contact loads about 479 tokens when it runs, and up to ~2k if it reads all its reference files. Until then it costs about 44 tokens; SKILL.md has 83 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 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 rongxinzy/RongxinAI at commit 9c64865, republished under its AGPL-3.0 licence (© rongxinzy). 83 words, ~479 tokens.
Download SKILL.mdSave it as
.claude/skills/lark-contact/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- lark-contact
- description
- 飞书 / Lark 通讯录:按姓名 / 邮箱解析成 open_id,或按 open_id 反查姓名 / 部门 / 邮箱 / 联系方式 / 个人状态 / 签名。当用户提到某人姓名要下一步发消息 / 排日程,或拿到 open_id 想查具体信息时使用。不负责部门树遍历、按部门列员工、组织架构图,这类需求走原生 OpenAPI。
- version
- 1.0.0
- metadata.cliHelp
- lark-cli contact --help
选哪个命令
user 身份和 bot 身份是两条完全独立的路径。先确定当前身份,再按下表选命令:
| 想做什么 | user 身份 | bot 身份 |
|---|---|---|
| 按姓名 / 邮箱搜员工拿 open_id | +search-user | 不支持 |
| 已知 open_id 取他人资料 | +search-user --user-ids <id> | +get-user --user-id <id> |
| 查看自己 | +get-user 或 +search-user --user-ids me | 不支持 |
| 查同事的个人状态 / 签名 | user_profiles batch_query | 不支持 |
已知 open_id 只是想发消息 / 排日程,不必经过 contact —— 直接 lark-im / lark-calendar。
典型场景
找张三给他发消息:先搜,确认 open_id,再发:
lark-cli contact +search-user --query "张三" --has-chatted --as user
lark-cli im +messages-send --user-id ou_xxx --text "Hi!"批量查同事的个人状态 / 个性签名(先用 schema 看参数)。
lark-cli schema contact.user_profiles.batch_query
lark-cli contact user_profiles batch_query \
--params '{"user_id_type":"open_id"}' \
--data '{"user_ids":["ou_xxx","ou_yyy"],"query_option":{"include_personal_status":true,"include_description":true}}' \
--as user搜索命中多条且后续操作有副作用(发消息、邀请会议等),把候选列给用户挑;不要擅自选第一条。
注意事项
- 41050 / Permission denied 受当前身份的可见范围限制(两条命令都可能遇到)。换 bot 身份或让管理员调整可见范围,细节见
lark-shared。 - 跨租户用户(
is_cross_tenant=true)多数业务字段为空字符串,这是飞书可见性规则,下游做空值兜底。 - ID 类型:默认
open_id。+get-user可改--user-id-type union_id|user_id;+search-user只接受open_id。
不在本 skill 范围
- 发消息 / 查聊天记录 →
lark-im - 排日程 / 邀请会议 →
lark-calendar - 部门树 / 按部门列员工 / 组织架构 →
lark-openapi-explorer查找原生接口
© rongxinzy, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files (references) in MCPs/feishu/skills/lark-contact of rongxinzy/RongxinAI.
- SKILL.md
- references/lark-contact-get-user.md
- references/lark-contact-search-user.md
Open the folder on GitHubat commit 9c64865
Used in 2 other repositories
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in rongxinzy/RongxinAI, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Lark Contact 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 Contact this skillrongxinzy/RongxinAI | 154 | 2 repos | ~479 | Automated safety check: Pass | AGPL-3.0 | |
| Lark Whiteboardappleweiping/WEIPING_WIKI | 119 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Lark Contactappleweiping/WEIPING_WIKI | 119 | — | ~403 | Automated safety check: Pass | MIT | |
| Feishu Openapi Skillholon-run/uxc | 116 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Lark Openapi Explorerappleweiping/WEIPING_WIKI | 119 | 4 repos | ~788 | Automated safety check: Pass | MIT | |
| Feishucodewhale-hq/Codewhale | 41k | — | ~413 | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Lark Contact
What does Lark Contact do?
飞书 / Lark 通讯录:按姓名 / 邮箱解析成 openid,或按 openid 反查姓名 / 部门 / 邮箱 / 联系方式 / 个人状态 / 签名。当用户提到某人姓名要下一步发消息 / 排日程,或拿到 openid 想查具体信息时使用。不负责部门树遍历、按部门列员工、组织架构图,这类需求走原生 OpenAPI。. Lark Contact is an agent skill from rongxinzy/RongxinAI.
When should I use Lark Contact?
Lark Contact fits situations like: tasks that involve Messaging and chat bots; tasks that involve OpenAPI specifications.
How do I install Lark Contact in Claude Code?
Run `npx skills add rongxinzy/RongxinAI --skill lark-contact -a claude-code`. Or copy the skill folder (MCPs/feishu/skills/lark-contact in rongxinzy/RongxinAI) into .claude/skills/lark-contact in your project. Claude Code loads it when a task matches its description.
How do I install Lark Contact in Codex?
Run `npx skills add rongxinzy/RongxinAI --skill lark-contact -a codex`. Or copy the skill folder (MCPs/feishu/skills/lark-contact in rongxinzy/RongxinAI) into .agents/skills/lark-contact in your project. Codex loads it when a task matches its description.
Can I use Lark Contact 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 rongxinzy/RongxinAI --skill lark-contact -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-contact, .gemini/skills/lark-contact, .github/skills/lark-contact and .opencode/skills/lark-contact in your project.
What does Lark Contact need to run?
SKILL.md names no scripts, command-line tools or credentials: Lark Contact is instructions for the agent only.
Does Lark Contact 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 Contact 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 Contact use?
Lark Contact is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Lark Contact use?
About 479 tokens (SKILL.md is roughly 1.9k 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 1.5k tokens, read only when the agent opens those files.
What are the alternatives to Lark Contact?
Skills that share tags, products or a category with Lark Contact: Lark Whiteboard (appleweiping/WEIPING_WIKI, 119 stars), Lark Contact (appleweiping/WEIPING_WIKI, 119 stars), Feishu Openapi Skill (holon-run/uxc, 116 stars) and Lark Openapi Explorer (appleweiping/WEIPING_WIKI, 119 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Lark Contact?
rongxinzy (a GitHub organization) maintains it in rongxinzy/RongxinAI, which has 154 GitHub stars. The repository holds 94 skills in this directory. The repository was last updated on October 10, 2026.
Source: rongxinzy/RongxinAI on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.