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、使用多种格式更新画板内容. An agent skill from rongxinzy/RongxinAI.
$ npx skills add rongxinzy/RongxinAI --skill lark-whiteboard -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rongxinzy/RongxinAI lark-whiteboard --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-whiteboard .claude/skills/lark-whiteboard && 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-whiteboard" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-whiteboard into .claude/skills/lark-whiteboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-whiteboard", 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-whiteboardType 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-whiteboard -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rongxinzy/RongxinAI lark-whiteboard --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-whiteboard .agents/skills/lark-whiteboard && 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-whiteboard" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-whiteboard into .agents/skills/lark-whiteboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-whiteboard", 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-whiteboard -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rongxinzy/RongxinAI lark-whiteboard --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-whiteboard .cursor/skills/lark-whiteboard && 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-whiteboard" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-whiteboard into .cursor/skills/lark-whiteboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-whiteboard", 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-whiteboard--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-whiteboard -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rongxinzy/RongxinAI lark-whiteboard --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-whiteboard .gemini/skills/lark-whiteboard && 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-whiteboard" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-whiteboard into .gemini/skills/lark-whiteboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-whiteboard", 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-whiteboardInstalls 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-whiteboard -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-whiteboard .github/skills/lark-whiteboard && 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-whiteboard" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-whiteboard into .github/skills/lark-whiteboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-whiteboard", 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-whiteboard -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-whiteboard --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-whiteboard .opencode/skills/lark-whiteboard && 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-whiteboard" agent skill from https://github.com/rongxinzy/RongxinAI/tree/main/MCPs/feishu/skills/lark-whiteboard into .opencode/skills/lark-whiteboard/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "lark-whiteboard", 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.
lark-whiteboard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、使用多种格式更新画板内容. An agent skill from rongxinzy/RongxinAI.
Lark Whiteboard is an agent skill from rongxinzy/RongxinAI. 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、使用多种格式更新画板内容。 当用户需要查看画板内容、导出画板图片、编辑画板时使用此 skill。不负责:飞书云文档内容编辑(lark-doc)、文档内嵌电子表格/Base(lark-sheets / lark-base)。
Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. The skill folder holds 33 other files, including reference files (for example `elements/connectors.md`, `elements/content.md` and `elements/image.md`).
It sits in Productivity & Automation, covering Messaging and chat bots. It works with Mermaid. 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.
Read from SKILL.md and the folder at commit 9c64865. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Lark Whiteboard loads about 636 tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 42 tokens; SKILL.md has 92 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.
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.
The full file from rongxinzy/RongxinAI at commit 9c64865, republished under its AGPL-3.0 licence (© rongxinzy). 92 words, ~636 tokens.
.claude/skills/lark-whiteboard/SKILL.md (or your agent's skills folder). This skill also uses 29 other files; get the full folder from GitHub.[!IMPORTANT]
- 运行
lark-cli --version,确认可用,无需询问用户。- 运行
npx -y @larksuite/whiteboard-cli@^0.2.13 -v,确认可用,无需询问用户。
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
身份:画板操作默认使用 --as user。仅当需要以应用身份上传时使用 --as bot。
| 用户需求 | 行动 |
|---|---|
| 查看画板内容 / 导出图片 | +export --output-type preview |
| 导出 SVG 矢量图 | +export --output-type svg |
| 获取画板的 Mermaid/PlantUML 代码 | +export --output-type source |
| 检查画板是否由代码绘制 | +export --output-type source |
| 仅微调节点文字/颜色 | +export --output-type raw → 手动改 JSON → +update --input_format raw |
| 用户已提供 Mermaid/PlantUML/SVG 代码,或明确指定用该格式 | 自己生成/使用代码 → +update --input_format mermaid/plantuml/svg |
| 新建/创作复杂图表(架构/流程/组织等) | → § 创作 Workflow |
| 修改/重绘已有画板 | → § 修改 Workflow |
© 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
SKILL.md and 29 other files (references) in MCPs/feishu/skills/lark-whiteboard of rongxinzy/RongxinAI.
Open the folder on GitHubat commit 9c64865
We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in rongxinzy/RongxinAI, which our catalogue first saw on October 7, 2026.
Lark Whiteboard 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 Whiteboard this skillrongxinzy/RongxinAI | 154 | 3 repos | ~636 | Automated safety check: Pass | AGPL-3.0 | |
| Lark Whiteboardappleweiping/WEIPING_WIKI | 119 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Feishu CLI Doc GuideLeoYeAI/openclaw-master-skills | 2.2k | — | ~3k | Automated safety check: Pass | MIT | |
| Feishu Docopenclaw/openclaw | 392k | — | ~516 | Automated safety check: Pass | MIT | |
| She Love Me863401402/she-love-me | 931 | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Feishu Docraucvr/Group-Goki | 112 | 3 repos | ~592 | Automated safety check: Pass | MIT |
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。
LeoYeAI/openclaw-master-skills
飞书文档创建前的兼容性检查规范。覆盖 Mermaid/PlantUML 语法限制(8 种图表类型的飞书安全写法)、 表格自动拆分规则(9×9 限制)、Callout/公式/图片处理、API 限制与容错机制。
openclaw/openclaw
Feishu document read/write workflows. An agent skill from openclaw/openclaw.
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…
raucvr/Group-Goki
Feishu document read/write operations. An agent skill from raucvr/Group-Goki.
freestylefly/wechat-article-extractor-skill
Extract metadata and content from WeChat Official Account articles.
rongxinzy/RongxinAI
SaaS financial health advisor. An agent skill from rongxinzy/RongxinAI.
rongxinzy/RongxinAI
Reduce voluntary and involuntary churn through cancel flow design, save offers, exit surveys, and dunning sequences.
rongxinzy/RongxinAI
The only skill for creating a new PowerPoint deck. An agent skill from rongxinzy/RongxinAI.
rongxinzy/RongxinAI
ZhiYuan Agent expert package lifecycle manager for the pi engine.
rongxinzy/RongxinAI
Professional Ziwei Doushu consultation skill with an offline calculation engine.
rongxinzy/RongxinAI
飞书邮箱:Use when user mentions 起草邮件、写邮件、草稿、发送/回复/转发邮件、查阅邮件、看邮件、搜索邮件、邮件文件夹、邮件标签、邮件联系人、监听新邮件、邮件收信规则等;use for mail/email intent only.
Works with
Categories
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、使用多种格式更新画板内容. An agent skill from rongxinzy/RongxinAI. Lark Whiteboard is an agent skill from rongxinzy/RongxinAI.
Lark Whiteboard fits situations like: tasks that involve Messaging and chat bots.
Run `npx skills add rongxinzy/RongxinAI --skill lark-whiteboard -a claude-code`. Or copy the skill folder (MCPs/feishu/skills/lark-whiteboard in rongxinzy/RongxinAI) into .claude/skills/lark-whiteboard in your project. Claude Code loads it when a task matches its description.
Run `npx skills add rongxinzy/RongxinAI --skill lark-whiteboard -a codex`. Or copy the skill folder (MCPs/feishu/skills/lark-whiteboard in rongxinzy/RongxinAI) into .agents/skills/lark-whiteboard in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rongxinzy/RongxinAI --skill lark-whiteboard -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-whiteboard, .gemini/skills/lark-whiteboard, .github/skills/lark-whiteboard and .opencode/skills/lark-whiteboard in your project.
Going by SKILL.md and its folder, Lark Whiteboard needs the command-line tools its instructions call (npx). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Lark Whiteboard 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.
About 636 tokens (SKILL.md is roughly 2.5k 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 3.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Lark Whiteboard: Lark Whiteboard (appleweiping/WEIPING_WIKI, 119 stars), Feishu CLI Doc Guide (LeoYeAI/openclaw-master-skills, 2.2k stars), Feishu Doc (openclaw/openclaw, 392k stars) and She Love Me (863401402/she-love-me, 931 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.