openclaw-skills/lark-whiteboard/SKILL.md
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)。
npx skillsauth add seaworld008/commonly-used-high-value-skills lark-whiteboardInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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[!IMPORTANT]
- 运行
lark-cli --version,确认可用,无需询问用户。- 运行
npx -y @larksuite/whiteboard-cli@^0.2.12 -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 / 导出 SVG 矢量图 | +query --output_as image/svg |
| 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 |
| 仅微调节点文字/颜色 | +query --output_as 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 |
| Shortcut | 说明 |
|---|---|
| +query | 查询画板,导出为预览图片、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 |
This supplement is maintained by the repository sync pipeline. It keeps the imported upstream skill usable inside this curated collection when the upstream source is intentionally concise.
1. Confirm that the user's task matches the skill trigger.
2. Read the relevant project files or user-provided context before acting.
3. Choose the smallest reversible action that advances the task.
4. Run the verification command or manual check that proves the result.
5. Report the outcome, evidence, and any remaining risk.
Before updating a whiteboard:
For edits, report:
development
Enumerating failure modes via pre-mortem analysis. Systematically identifies failure scenarios for plans, designs, and features, scoring them with RPN/AP. Does not write code.
testing
Orchestrating specialist AI agent teams as a meta-coordinator. Decomposes requests into minimum viable chains, spawns each as an independent session in AUTORUN modes, and drives to final output. Use when a task spans multiple specialist domains, requires parallel agent execution, or needs hub-and-spoke routing across the skill ecosystem.
development
Converting document formats (Markdown/Word/Excel/PDF/HTML). Converts specs from Scribe and reports from Harvest into distributable formats; generates reusable conversion scripts. Use when converting documents, building accessibility-compliant PDFs, or creating Pandoc/LibreOffice pipelines.
testing
Curating cross-agent knowledge and guarding institutional memory. Extracts patterns from agent journals into METAPATTERNS.md, detects knowledge decay, propagates best practices, prevents organizational forgetting. Use when consolidating cross-agent insights, curating memory, or auditing knowledge decay.