openclaw-skills/docs-cleaner/SKILL.md
Consolidates redundant documentation while preserving all valuable content. This skill should be used when users want to clean up documentation bloat, merge redundant docs, reduce documentation sprawl, or consolidate multiple files covering the same topic. Triggers include "clean up docs", "consolidate documentation", "too many doc files", "merge these docs", or when documentation exceeds 500 lines across multiple files covering similar topics.
npx skillsauth add seaworld008/commonly-used-high-value-skills docs-cleanerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Consolidate redundant documentation while preserving 100% of valuable content.
Critical evaluation before deletion. Never blindly delete. Analyze each section's unique value before proposing removal. The goal is reduction without information loss.
For each document, create a section-by-section analysis table:
| Section | Lines | Value | Reason | |---------|-------|-------|--------| | API Reference | 25 | Keep | Unique endpoint documentation | | Setup Steps | 40 | Condense | Verbose but essential | | Test Results | 30 | Delete | One-time record, not reference |
Value categories:
See references/value_analysis_template.md for detailed criteria.
Propose target structure:
Before: 726 lines (3 files, high redundancy)
After: ~100 lines (1 file + reference in CLAUDE.md)
Reduction: 86%
Value preserved: 100%
Before finalizing, confirm preservation of:
| Pattern | Problem | Solution | |---------|---------|----------| | Blind deletion | Loses valuable information | Section-by-section analysis first | | Keeping everything | No reduction achieved | Apply value criteria strictly | | Multiple sources of truth | Future divergence | Single authoritative location | | Orphaned references | Broken links | Update all references after consolidation |
A successful cleanup produces:
development
飞书知识库:管理知识空间、空间成员和文档节点。创建和查询知识空间、查看和管理空间成员、管理节点层级结构、在知识库中组织文档和快捷方式。当用户需要在知识库中查找或创建文档、浏览知识空间结构、查看或管理空间成员、移动或复制节点时使用。当用户给出 doubao.com 的 /wiki/ URL/token 时,也应直接使用本 skill,不要因为域名不是飞书而回退到 WebFetch;路由依据是 URL 路径模式和 token,而不是域名。
tools
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。
testing
飞书视频会议:搜索历史会议、查询会议纪要产物(总结、待办、章节、逐字稿)、查询会议参会人快照。1. 查询已经结束的会议数量或详情时使用本技能(如历史日期|昨天|上周|今天已经开过的会议等场景),查询未开始的会议日程使用 lark-calendar 技能。2. 支持通过关键词、时间范围、组织者、参与者、会议室等筛选条件搜索会议。3. 获取或整理会议纪要、逐字稿、录制产物时使用本技能。4. 查询“谁参加过某会议”“参会人列表”等参会人快照信息用 vc meeting get --with-participants(任意时点可查,含已结束会议)。注意:**Agent 真实入会/离会、感知正在进行中会议的实时事件**请使用 lark-vc-agent 技能,本技能不覆盖写操作和会中事件流。
data-ai
飞书会议机器人入会、离会和会中事件读取。