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Skills/open.feishu.cn/lark-doc
LD

lark-doc

open.feishu.cn
225K installs
Run it on Hostinger →up to 70% off + an extra 10% with code ZACAARON10Free API →

Installation

npx skills add https://open.feishu.cn --skill lark-doc

Summary

飞书云文档(Docx / Wiki 文档,v2 API):读取和编辑飞书文档内容。当用户给出文档 URL 或 token,或需要查看、创建、编辑文档、插入或下载文档图片附件时使用。文档中嵌入的电子表格、多维表格、画板,先用本 skill 提取 token 再切到对应 skill。当用户给出 doubao.com 的 /docx/ 或 /wiki/ URL/token 时,也应直接使用本 skill;路由依据是 URL 路径模式和 token,而不是域名。不负责文档评论管理,也不负责表格或 Base 的数据操作。

SKILL.md

docs (v2)

身份:文档操作默认使用 --as user。首次使用前执行 lark-cli auth login。

CRITICAL — API 版本:本 skill 使用 v2 API。执行 docs +create、docs +fetch、docs +update 时必须显式传入 --api-version v2。

# 常用示例
lark-cli docs +fetch  --api-version v2 --doc "文档URL或token"
lark-cli docs +create --api-version v2 --content '<title>标题</title><p>内容</p>'
lark-cli docs +update --api-version v2 --doc "文档URL或token" --command append --content '<p>内容</p>'

前置条件 — 执行操作前必读

CRITICAL — 执行对应操作前,MUST 先用 Read 工具读取以下文件,缺一不可:

  1. ../lark-shared/SKILL.md — 认证、权限处理、全局参数(所有操作通用)
  2. 读取文档(docs +fetch --api-version v2) → 必读 lark-doc-fetch.md(--scope / --detail 选择、局部读取策略、<fragment> / <excerpt> 输出结构)
  3. 创建或编辑文档内容 → 必读 lark-doc-xml.md(XML 语法规则,仅当用户明确要求 Markdown 时改读 lark-doc-md.md);从零创建时加读 lark-doc-create-workflow.md;编辑已有文档时加读 lark-doc-update-workflow.md

未读完以上文件就执行相应操作会导致参数选择错误、格式错误或样式不达标。

格式选择规则(全局): - 创建 / 导入场景(docs +create,或 docs +update --command append/overwrite 的整段写入):XML 和 Markdown 都可以。用户提供 .md 本地文件、或明确说"导入 Markdown"时,直接用 Markdown;否则默认 XML(可用 callout、grid、checkbox 等富 block)。 - 精准编辑场景(docs +update 的 str_replace / block_insert_after / block_replace / block_delete / block_move_after 等局部精修指令):优先使用 XML(--doc-format xml,即默认值)。XML 能稳定表达 block 结构和样式,局部精修更可控;不要因为 Markdown 更简单就自行切换。

快速决策

  • 用户需要“某个 block 的直达链接 / 锚点链接”时:返回 文档基础 URL#block_id。如果当前只有文档 URL 没有 block_id,先用 docs +fetch --detail with-ids 拿到目标 block 的 id
  • 例:
  • 已知文档 URL = https://xxx.feishu.cn/docx/doxcn123
  • 已知 block_id = blkcn456
  • 应返回 https://xxx.feishu.cn/docx/doxcn123#blkcn456
  • 用户需要在文档内创建、复制或移动资源块(画板、电子表格、多维表格等)时,必须先读取 lark-doc-xml.md 的「三、资源块」章节
  • 写文档时,重要信息(核心流程、架构、对比、风险、路线图、关键指标、因果关系)优先规划为画板,不要只用文字或表格承载
  • 新增画板必须隔离到 SubAgent:简单图由 SubAgent 直接插入 <whiteboard type="svg">完整 SVG</whiteboard>,不读 lark-whiteboard;复杂图才由主 Agent 先建 <whiteboard type="blank"></whiteboard>,再启动 SubAgent 读取 lark-whiteboard 写入
  • 用户说"看一下文档里的图片/附件/素材""预览素材" → 用 lark-cli docs +media-preview
  • 用户明确说"下载素材" → 用 lark-cli docs +media-download
  • 如果目标是画板/whiteboard/画板缩略图 → 只能用 lark-cli docs +media-download --type whiteboard(不要用 +media-preview)
  • 拿到 spreadsheet URL/token 后 → 切到 lark-sheets 做对象内部操作
  • 用户说"给文档加评论""查看评论""回复评论""给评论加/删除表情 reaction" → 切到 lark-drive 处理
  • 文档内容中出现嵌入的 <sheet>、<bitable> 或 <cite file-type="sheets|bitable"> 标签时 → 必须主动提取 token 并切到对应技能下钻读取内部数据,不能只呈现标签本身

| 标签 / 属性 | 提取字段 | 切到技能 | |-|-|-| | <sheet token="..." sheet-id="..."> | token -> spreadsheet_token, sheet-id | lark-sheets | | <bitable token="..." table-id="..."> | token -> app_token, table-id | lark-base | | <cite type="doc" file-type="sheets" token="..." sheet-id="..."> | 同 <sheet> | lark-sheets | | <cite type="doc" file-type="bitable" token="..." table-id="..."> | 同 <bitable> | lark-base | | <vc-transcribe-tab vc-node-id="..."> | vc-node-id -> note_id | lark-note:先 note +detail --note-id <vc-node-id> | | <synced_reference src-token="..." src-block-id="..."> | src-token -> doc_token, src-block-id -> block_id | 用 docs +fetch --api-version v2 读取 src-token 文档,定位 block |

Shortcuts(推荐优先使用)

Shortcut 是对常用操作的高级封装(lark-cli docs +<verb> [flags])。有 Shortcut 的操作优先使用。

Shortcut说明
+createCreate a Lark document (XML / Markdown)
+fetchFetch Lark document content (XML / Markdown)
+updateUpdate a Lark document (str_replace / block_insert_after / block_replace / ...)
+media-insertInsert a local image or file at the end of a Lark document (4-step orchestration + auto-rollback). Prefer --from-clipboard when the image is already on the system clipboard (screenshots, copy from Feishu/browser); use --file only for on-disk sources.
+media-downloadDownload document media or whiteboard thumbnail (auto-detects extension)
+media-previewPreview document media file (auto-detects extension)
+whiteboard-updateAlias of whiteboard +update. Update an existing whiteboard with DSL, Mermaid or PlantUML. Prefer whiteboard +update; refer to lark-whiteboard skill for details.

不在本 Skill 范围

  • 文档评论管理 → lark-drive
  • 电子表格或 Base 的数据操作 → lark-sheets / lark-base
  • 云空间文件上传、下载、权限管理 → lark-drive

Score

0–100
69/ 100

Grade

C

Popularity30/30

225,166 installs — top-tier adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust6/25

Limited provenance information — review the source before installing.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Lark Doc FAQ

How do I install the Lark Doc skill?

Run “npx skills add https://open.feishu.cn --skill lark-doc” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Lark Doc skill do?

飞书云文档(Docx / Wiki 文档,v2 API):读取和编辑飞书文档内容。当用户给出文档 URL 或 token,或需要查看、创建、编辑文档、插入或下载文档图片附件时使用。文档中嵌入的电子表格、多维表格、画板,先用本 skill 提取 token 再切到对应 skill。当用户给出 doubao.com 的 /docx/ 或 /wiki/ URL/token 时,也应直接使用本 skill;路由依据是 URL 路径模式和 token,而不是域名。不负责文档评论管理,也不负责表格或 Base 的数据操作。 The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Lark Doc skill free?

Yes. Lark Doc is a free, open-source skill published from open.feishu.cn. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Lark Doc work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Lark Doc works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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One API to scrape, enrich, and extract the internet. logoOne API to scrape, enrich, and extract the internet.

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