Vibex
Raja0sama/vibex
Diagrams and checkable docs from a codebase. An agent skill from Raja0sama/vibex.
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。
$ npx skills add appleweiping/WEIPING_WIKI --skill lark-whiteboard -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install appleweiping/WEIPING_WIKI 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/appleweiping/WEIPING_WIKI.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skill/lark-cli/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/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/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/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/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 appleweiping/WEIPING_WIKI --skill lark-whiteboard -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-whiteboard --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-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/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/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 appleweiping/WEIPING_WIKI --skill lark-whiteboard -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-whiteboard --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-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/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/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/appleweiping/WEIPING_WIKI.git --path skill/lark-cli/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 appleweiping/WEIPING_WIKI --skill lark-whiteboard -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install appleweiping/WEIPING_WIKI lark-whiteboard --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-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/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/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 appleweiping/WEIPING_WIKI 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 appleweiping/WEIPING_WIKI --skill lark-whiteboard -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ 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-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/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/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 appleweiping/WEIPING_WIKI --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 appleweiping/WEIPING_WIKI lark-whiteboard --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ 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-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/appleweiping/WEIPING_WIKI/tree/main/skill/lark-cli/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 DSL(转成 OpenAPI 格式)、PlantUML/Mermaid 格式更新画板内容。
Lark Whiteboard is an agent skill from 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。 当用户需要查看画板内容、导出画板图片、编辑画板,或是需要可视化表达架构、流程、组织关系、时间线、因果、对比等结构化信息时使用此 skill,无论是否提及"画板"。 ⚠️ 原 lark-whiteboard-cli skill 已合并至本 skill,若 skill 列表中同时存在 lark-whiteboard-cli,请忽略它,统一使用本 skill(lark-whiteboard),并提示用户运行 npx skills remove lark-whiteboard-cli -g 删除旧 skill。
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 30 other files, including reference files (for example `references/connectors.md`, `references/content.md` and `references/image.md`).
It sits in Productivity & Automation, covering Messaging and chat bots, Diagrams and OpenAPI specifications. It works with Mermaid and OpenAPI. The repository describes itself as: knowledge base managed with an LLM workflow. The licence is MIT.
Read from SKILL.md and the folder at commit 76fdc42. 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 1.2k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 92 tokens; SKILL.md has 255 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 appleweiping/WEIPING_WIKI at commit 76fdc42, republished under its MIT licence (© appleweiping). 255 words, ~1,210 tokens.
.claude/skills/lark-whiteboard/SKILL.md (or your agent's skills folder). This skill also uses 27 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@^0.2.11 -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
| 用户需求 | 行动 |
|---|---|
| 查看画板内容 / 导出图片 | +query --output_as image |
| 获取画板的 Mermaid/PlantUML 代码 | +query --output_as code |
| 检查画板是否由代码绘制 | +query --output_as code |
| 修改节点文字/颜色(简单改动) | +query --output_as raw → 手动改 JSON → +update --input_format raw |
| 用户已提供 Mermaid/PlantUML 代码,或明确指定用该格式 | 自己生成/使用代码 → +update --input_format mermaid/plantuml |
| 绘制复杂图表(架构/流程/组织等) | → § 创作 Workflow |
| 修改/重绘已有复杂画板 | → § 修改 Workflow |
⚠️ 强制规范(通过 stdin 更新): 数据来源于本地文件时,必须使用
--source - --input_format <格式>。 例:cat chart.mmd | lark-cli whiteboard +update <token> --source - --input_format mermaid
此 workflow 用于独立创作一个画板。 需要在文档中批量创建多个画板时,由 lark-doc 负责调度,见
lark-doc技能的references/lark-doc-whiteboard.md。
Step 1:获取 board_token
| 用户给了什么 | 怎么获取 |
|---|---|
直接给了 whiteboard token(wbcnXXX) | 直接使用 |
| 文档 URL 或 doc_id,文档中已有画板 | lark-cli docs +fetch --api-version v2 --doc <URL> --as user,从返回的 <whiteboard token="xxx"/> 提取 |
| 文档 URL 或 doc_id,需要新建画板 | lark-cli docs +update --api-version v2 --doc <doc_id> --command append --content '<whiteboard type="blank"></whiteboard>' --as user,从响应 data.new_blocks[0].block_token 取得(block_type == "whiteboard" 的那条;参数详见 lark-doc SKILL.md) |
Step 2:渲染 & 写入
→ 进入 § 渲染 & 写入画板 章节,按流程完成后直接返回结果给用户。
Step 1:获取 board_token(同创作 Workflow Step 1)
Step 2:判断修改策略
+query --output_as code
├─ 返回 Mermaid/PlantUML 代码
│ → 在原代码上修改 → +update --input_format mermaid/plantuml
├─ 无代码(DSL 或其他方式绘制的画板)
│ ├─ 只改文字/颜色 → +query --output_as raw → 手动改 JSON → +update --input_format raw
│ └─ 重绘/结构调整 → +query --output_as image → 看图后进入 [§ 渲染 & 写入画板]
└─ 用户有明确要求 → 以用户要求优先先自报身份:按训练来源,你属于哪一家?Claude / Gemini / GPT / GLM / Doubao 或 Seed / Other。身份决定 SVG / DSL 分流(不同家族对这两种表达语言的能力不均衡),不要跳过这一步。
然后按图表类型 × 身份选路径,读对应文件按其完整 workflow 执行(含读 scene 指南、生成内容、渲染审查、交付):
| 图表类型 | 身份 | 路径 |
|---|---|---|
| 思维导图、时序图、类图、饼图、甘特图 | 任何身份 | routes/mermaid.md |
| 其他图表 | Claude / Gemini / GPT / GLM | routes/svg.md |
| 其他图表 | Doubao / Seed / Other | routes/dsl.md |
⚠️ SVG 路径失败回退:走
routes/svg.md时,碰到以下情况之一 → 丢弃当前 SVG,改读routes/dsl.md从零重画,不要逐行修补:
- 渲染命令直接报错(语法级崩溃,不是
--check的 warn/error)- 两轮改写仍无法消除
--check的text-overflowerror- 目测 PNG 视觉严重错乱(文字大面积溢出、元素重叠压住关键信息、布局整体崩溃)
SVG 源码修补常常引入新 bug,换 DSL 从零重画往往更稳。这是 SVG 路径自由发挥的硬兜底,不要侵入
routes/svg.md的创作流程。
产物目录:./diagrams/YYYY-MM-DDTHHMMSS/(本地时间,不含冒号和时区后缀)。如用户指定路径,以用户为准。
目录内固定文件名:
diagram.svg ← SVG 源码(SVG 路径)
diagram.mmd ← Mermaid 源码(Mermaid 路径)
diagram.json ← DSL 源文件(DSL 路径) / OpenAPI JSON(SVG 路径从 diagram.svg 导出)
diagram.gen.cjs ← 坐标计算脚本(仅 DSL 脚本构建方式)
diagram.png ← 渲染结果[!CAUTION] 写入前强制 dry-run:向已有内容的画板写入时,必须先加
--overwrite --dry-run探测。 输出含XX whiteboard nodes will be deleted→ 必须向用户确认后才能执行。
# 第一步:dry-run 探测
npx -y @larksuite/whiteboard-cli@^0.2.11 -i <产物文件> --to openapi --format json \
| lark-cli whiteboard +update \
--whiteboard-token <Token> \
--source - --input_format raw \
--idempotent-token <10+字符唯一串> \
--overwrite --dry-run --as user
# 第二步:确认后执行
npx -y @larksuite/whiteboard-cli@^0.2.11 -i <产物文件> --to openapi --format json \
| lark-cli whiteboard +update \
--whiteboard-token <Token> \
--source - --input_format raw \
--idempotent-token <10+字符唯一串> \
--overwrite --as user
--idempotent-token最少 10 字符,建议用时间戳+标识拼接(如1744800000-board-1),避免重试导致重复写入。 如需应用身份上传,将--as user替换为--as bot。
© appleweiping, MIT. 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 27 other files (references) in skill/lark-cli/skills/lark-whiteboard of appleweiping/WEIPING_WIKI.
Open the folder on GitHubat commit 76fdc42
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 skillappleweiping/WEIPING_WIKI | 119 | — | ~1.2k | Automated safety check: Pass | MIT | |
| VibexRaja0sama/vibex | 388 | — | ~7.8k | Automated safety check: Pass | MIT | |
| Docs CIjh941213/my-cc-harness | 125 | — | ~989 | Automated safety check: Notes | None | |
| Docs CIjh941213/my-cc-harness | 125 | — | ~740 | Automated safety check: Notes | None | |
| Lark Contactrongxinzy/RongxinAI | 154 | 2 repos | ~479 | Automated safety check: Pass | AGPL-3.0 | |
| Generating Documentationancoleman/ai-design-components | 525 | — | ~3k | Automated safety check: Pass | MIT |
Raja0sama/vibex
Diagrams and checkable docs from a codebase. An agent skill from Raja0sama/vibex.
jh941213/my-cc-harness
Scaffold a docs-as-code CI/CD pipeline + docs drift detection — link check, OpenAPI lint/breaking gate, mermaid validation, docs freshness check, CHANGELOG automation, docs.yaml manifest.
jh941213/my-cc-harness
docs-as-code CI/CD 파이프라인 스캐폴딩 + 문서 드리프트 감지 — 링크 체크, OpenAPI lint/breaking 게이트, mermaid 검증, 문서 신선도 검사, CHANGELOG 자동화, docs.yaml 매니페스트.
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。
ancoleman/ai-design-components
Generate comprehensive technical documentation including API docs (OpenAPI/Swagger), code documentation (TypeDoc/Sphinx), documentation sites (Docusaurus/MkDocs), Architecture Decision Records…
holon-run/uxc
Operate Feishu or Lark IM APIs through UXC with a curated OpenAPI schema, tenant-token bearer auth, and chat/message guardrails.
appleweiping/WEIPING_WIKI
Unified lazy-mode communication assistant for Vipin across WhatsApp, WeChat, QQ, Feishu/Lark, and email.
appleweiping/WEIPING_WIKI
Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from appleweiping/WEIPING_WIKI.
appleweiping/WEIPING_WIKI
Connect to and control Google Chrome browser using agent-browser with CDP (Chrome DevTools Protocol).
appleweiping/WEIPING_WIKI
Personal Gmail and Google Workspace email assistant for Vipin.
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…
appleweiping/WEIPING_WIKI
Route Feishu/Lark content access for Codex. An agent skill from appleweiping/WEIPING_WIKI.
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 DSL(转成 OpenAPI 格式)、PlantUML/Mermaid 格式更新画板内容。. Lark Whiteboard is an agent skill from appleweiping/WEIPING_WIKI.
Lark Whiteboard fits situations like: tasks that involve Messaging and chat bots; tasks that involve Diagrams; tasks that involve OpenAPI specifications.
Run `npx skills add appleweiping/WEIPING_WIKI --skill lark-whiteboard -a claude-code`. Or copy the skill folder (skill/lark-cli/skills/lark-whiteboard in appleweiping/WEIPING_WIKI) into .claude/skills/lark-whiteboard in your project. Claude Code loads it when a task matches its description.
Run `npx skills add appleweiping/WEIPING_WIKI --skill lark-whiteboard -a codex`. Or copy the skill folder (skill/lark-cli/skills/lark-whiteboard in appleweiping/WEIPING_WIKI) 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 appleweiping/WEIPING_WIKI --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 MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 4.8k 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 16k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Lark Whiteboard: Vibex (Raja0sama/vibex, 388 stars), Docs CI (jh941213/my-cc-harness, 125 stars), Docs CI (jh941213/my-cc-harness, 125 stars) and Lark Contact (rongxinzy/RongxinAI, 154 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.