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Lark Whiteboard · larksuite | DecimalAI

documentationby larksuite

Lark Whiteboard

lark-whiteboard

Source larksuite/cli ↗License MIT

**CRITICAL — 开始前 MUST 先用 Read 工具读取 [`../lark-shared/SKILL.md`](../lark-shared/SKILL.md)，其中包含认证、权限处理**

SkillScore52Maintained

Automatic

Doc Ops pack

Last verified 8/9/2026

What it changes

Passed 7 of 13 test cases with the skill, and 2 of 13 without it.

Without skill17%

With skill52%

Checks it passed that the model alone missed

Uses +update shortcut.
Uses +update with --input_format svg.
Identifies OpenAPI native format support.

and 5 more in the full report

8 fixed4 passed either way11 still failing0 broke

Pass-rate lift: +35 pp
Tokens: -25%
Agent turns: 0%
Response time: -65%

Model gemini-3.6-flashMeasured 8/9/2026v312 of 23 cases passed with skill · 13 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/lark-whiteboard/SKILL.md https://app.decimal.ai/s/lark-whiteboard/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add lark-whiteboard, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/lark-whiteboard/ and pins it in .decimal/skills.lock

decimalai skills add lark-whiteboard

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/lark-whiteboard/SKILL.md https://app.decimal.ai/s/lark-whiteboard/SKILL.md

Raw file: /s/lark-whiteboard/SKILL.md ↗ · machine-readable summary at /s/lark-whiteboard.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 7

Prompt

在开展飞书画板操作前，用于检查画板 CLI 工具包版本的 npx 命令是什么？

What was checked, without and with the skill
Checked	Without skill	With skill
Executes npx -y @larksuite/whiteboard-cli@^0.2.13 -v for whiteboard CLI verification.	Missed	Passed

case-14 · gemini-3.6-flash · 8/9/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md43 lines7 files

[!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。

先判断「只读还是写入」，再在对应表内按上到下匹配，命中即停。

A. 只读 · 查看 / 导出（不改画板）

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`
提取画板的 Mermaid/PlantUML 源码	`+export --output-type source`

B. 写入 · 创作 / 编辑（会改画板，命中即停）

场景	行动	写入方式	对原内容
用户已提供 Mermaid/PlantUML/SVG 代码，或明确指定用该格式	使用该代码 → `+update`，`--input_format` 取单值 `mermaid` / `plantuml` / `svg`；写入非空已有画板并需要 overwrite 时，先确认会整板重建；若 SVG 用于修改已有画板，先走 `routes/svg-edit.md` 有损确认	overwrite / append	按用户要求
从零新建复杂图表（架构/流程/组织等）	→ § 创作 Workflow	首次写入	—
修改 / 增补已有画板	→ § 编辑 Workflow	见该表	见该表

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

Track record

Benchmark

7 / 13

test cases passed, vs 2 / 13 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/9/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

larksuite / cli

skills/lark-whiteboard/SKILL.md

View on GitHub ↗

License MITImported 8/9/2026Version v3Bundled 6 files

More skills from the same source and nearby in the registry, with their headline benchmark lift.