Agent skill

Lark Whiteboard

by rongxinzy in 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. An agent skill from rongxinzy/RongxinAI.

AGPL-3.0Auto-check passedProductivity & Automation

Install Lark Whiteboard

skills CLI
$ npx skills add rongxinzy/RongxinAI --skill lark-whiteboard -a claude-code

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

GitHub CLI
$ gh skill install rongxinzy/RongxinAI lark-whiteboard --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/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-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/

Facts

Skill name
lark-whiteboard
GitHub stars
154
Used in
3 other repos
Token cost
~636 tokens
SKILL.md length
92 words
Files
30 (incl. references)
Skills in repo
94
Repo updated
First seen
Licence
AGPL-3.0

At a glance

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.

  • Tasks that involve Messaging and chat bots
  • SKILL.md covers 快速决策, Shortcuts and 不在本 skill 范围
  • Calls npx

What it does

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.

When your agent uses it

  • Tasks that involve Messaging and chat bots

Example prompts

  • “/lark-whiteboard”

Requirements

  • Node.js

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

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    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.

  • 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 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.

Always · name and description, kept in context so the agent knows when to use it
~42
When it runs · the whole SKILL.md, loaded when a task matches
~636
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.8k

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). 92 words, ~636 tokens.

Download SKILL.mdSave it as .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.
name
lark-whiteboard
description
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)。
version
1.0.0
metadata.cliHelp
lark-cli whiteboard --help

[!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


快速决策

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

Shortcuts

Shortcut说明
+export导出画板为预览图片、SVG 矢量图、代码或原始节点结构。
+update更新画板,支持 PlantUML、Mermaid、SVG 或 OpenAPI 原生格式

不在本 skill 范围

© 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 29 other files (references) in MCPs/feishu/skills/lark-whiteboard of rongxinzy/RongxinAI.

  • SKILL.md
  • elements/connectors.md
  • elements/content.md
  • elements/image.md
  • elements/layout.md
  • elements/schema.md
  • elements/style.md
  • elements/typography.md
  • references/lark-whiteboard-export.md
  • references/lark-whiteboard-update.md
  • references/lark-whiteboard-workflow.md
  • routes/dsl.md
  • routes/mermaid.md
  • routes/svg-edit.md
  • routes/svg.md
  • scenes/architecture.md
  • scenes/bar-chart.md
  • … and 13 more

Open the folder on GitHubat commit 9c64865

Used in 3 other repositories

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.

Compare with similar skills

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.

Lark Whiteboard compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Lark Whiteboard this skillrongxinzy/RongxinAI1543 repos~636Automated safety check: PassAGPL-3.0
Lark Whiteboardappleweiping/WEIPING_WIKI119—~1.2kAutomated safety check: PassMIT
Feishu CLI Doc GuideLeoYeAI/openclaw-master-skills2.2k—~3kAutomated safety check: PassMIT
Feishu Docopenclaw/openclaw392k—~516Automated safety check: PassMIT
She Love Me863401402/she-love-me9311 repos~1.3kAutomated safety check: PassMIT
Feishu Docraucvr/Group-Goki1123 repos~592Automated safety check: PassMIT

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Works with

Questions about Lark Whiteboard

What does Lark Whiteboard do?

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.

When should I use Lark Whiteboard?

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

How do I install Lark Whiteboard in Claude Code?

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.

How do I install Lark Whiteboard in Codex?

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.

Can I use Lark Whiteboard 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-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.

What does Lark Whiteboard need to run?

Going by SKILL.md and its folder, Lark Whiteboard needs the command-line tools its instructions call (npx). Our summary lists: Node.js.

Does Lark Whiteboard access the network?

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.

Is Lark Whiteboard 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 Whiteboard use?

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.

How many tokens does Lark Whiteboard use?

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.

What are the alternatives to Lark Whiteboard?

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.

Who maintains Lark Whiteboard?

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.