skills/self-improving/SKILL.md
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use before starting work and after responding to the user.
npx skillsauth add pr-e/openclaw-master-skills Self-Improving Agent (Proactive Self-Reflection)Install this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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User corrects you or points out mistakes. You complete significant work and want to evaluate the outcome. You notice something in your own output that could be better. Knowledge should compound over time without manual maintenance.
Memory lives in ~/self-improving/ with tiered structure. If ~/self-improving/ does not exist, run setup.md.
~/self-improving/
├── memory.md # HOT: ≤100 lines, always loaded
├── index.md # Topic index with line counts
├── projects/ # Per-project learnings
├── domains/ # Domain-specific (code, writing, comms)
├── archive/ # COLD: decayed patterns
└── corrections.md # Last 50 corrections log
| Topic | File |
|-------|------|
| Setup guide | setup.md |
| Memory template | memory-template.md |
| Learning mechanics | learning.md |
| Security boundaries | boundaries.md |
| Scaling rules | scaling.md |
| Memory operations | operations.md |
| Self-reflection log | reflections.md |
Log automatically when you notice these patterns:
Corrections → add to corrections.md, evaluate for memory.md:
Preference signals → add to memory.md if explicit:
Pattern candidates → track, promote after 3x:
Ignore (don't log):
After completing significant work, pause and evaluate:
corrections.mdWhen to self-reflect:
Log format:
CONTEXT: [type of task]
REFLECTION: [what I noticed]
LESSON: [what to do differently]
Example:
CONTEXT: Building Flutter UI
REFLECTION: Spacing looked off, had to redo
LESSON: Check visual spacing before showing user
Self-reflection entries follow the same promotion rules: 3x applied successfully → promote to HOT.
| User says | Action |
|-----------|--------|
| "What do you know about X?" | Search all tiers for X |
| "What have you learned?" | Show last 10 from corrections.md |
| "Show my patterns" | List memory.md (HOT) |
| "Show [project] patterns" | Load projects/{name}.md |
| "What's in warm storage?" | List files in projects/ + domains/ |
| "Memory stats" | Show counts per tier |
| "Forget X" | Remove from all tiers (confirm first) |
| "Export memory" | ZIP all files |
On "memory stats" request, report:
📊 Self-Improving Memory
HOT (always loaded):
memory.md: X entries
WARM (load on demand):
projects/: X files
domains/: X files
COLD (archived):
archive/: X files
Recent activity (7 days):
Corrections logged: X
Promotions to HOT: X
Demotions to WARM: X
| Tier | Location | Size Limit | Behavior | |------|----------|------------|----------| | HOT | memory.md | ≤100 lines | Always loaded | | WARM | projects/, domains/ | ≤200 lines each | Load on context match | | COLD | archive/ | Unlimited | Load on explicit query |
projects/{name}.mddomains/When patterns contradict:
When file exceeds limit:
See boundaries.md — never store credentials, health data, third-party info.
If context limit hit:
This skill ONLY:
~/self-improving/)This skill NEVER:
~/self-improving/Install with clawhub install <slug> if user confirms:
memory — Long-term memory patterns for agentslearning — Adaptive teaching and explanationdecide — Auto-learn decision patternsescalate — Know when to ask vs act autonomouslyclawhub star self-improvingclawhub syncdevelopment
Fetch and read transcripts from YouTube videos. Use when you need to summarize a video, answer questions about its content, or extract information from it.
devops
Fetch and summarize YouTube video transcripts. Use when asked to summarize, transcribe, or extract content from YouTube videos. Handles transcript fetching via residential IP proxy to bypass YouTube's cloud IP blocks.
content-media
# youtube-auto-captions - YouTube 自动字幕 ## 描述 自动为 YouTube 视频生成字幕,支持多语言翻译、时间轴校准。提升视频可访问性和 SEO。 ## 定价 - **按次收费**: ¥9/次 - 每视频最长 60 分钟 - 支持 50+ 语言 ## 用法 ```bash # 生成字幕 /youtube-auto-captions --video <video_id> --lang zh # 翻译字幕 /youtube-auto-captions --video <video_id> --translate en,ja,ko # 批量处理 /youtube-auto-captions --playlist <playlist_id> --lang zh # 导出字幕 /youtube-auto-captions --video <video_id> --export srt ``` ## 技能目录 `~/.openclaw/workspace/skills/youtube-auto-captions/` ## 作者 张 sir #
development
YouTube Data API integration with managed OAuth. Search videos, manage playlists, access channel data, and interact with comments. Use this skill when users want to interact with YouTube. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway).