[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M719SHK7DYVPASAF9ZX9KZA7":3,"skill-same:01M719SHK7DYVPASAF9ZX9KZA7":71},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":16,"categories":17,"keywords":18,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":45,"commitSha":46,"skillDirectory":47,"forksCount":14,"repositoryHtmlUrl":48,"repositoryHomepageUrl":6,"ownerHtmlUrl":49,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":50,"install":51,"resources":64},"01M719SHK7DYVPASAF9ZX9KZA7","self-improvement",null,"Analyze conversation history to find friction patterns and suggest CLAUDE.md\u002Fskill improvements. Use when user wants to review what went wrong across sessions and systematically improve. (user)","sapsapshen\u002Fai-memory-router","sapsapshen","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F20347959?v=4","01M6XDQEF1DP50DKF37H81J3J5","shenmian","01M6XDQEJPE41Y3DT2763X8ZJN",0,"MIT","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fglobal\u002Fself-improvement\u002FSKILL.md",[],[19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"improvement","self","self improvement","Wrong","patterns","grep","read","friction","find","analyze","across","review","task","Bash","when","use","improve","sessions","history","conversation","2026-11-10 10:12:30",false,"---\nname: self-improvement\ndescription: Analyze conversation history to find friction patterns and suggest CLAUDE.md\u002Fskill improvements. Use when user wants to review what went wrong across sessions and systematically improve. (user)\nallowed-tools: Read, Bash, Grep, Glob, Task\n---\n\n# Self-Improvement - Learn from History\n\nAnalyze Claude Code conversation history to find friction patterns, check what's already fixed, and suggest improvements.\n\n## Instructions\n\n### Phase 1: Find Conversations\n\n```bash\n# Get project directory (encode current path with dashes)\nls ~\u002F.claude\u002Fprojects\u002F\n\n# List today's conversations (or adjust -mtime for longer range)\nls -lt ~\u002F.claude\u002Fprojects\u002F\u003Cencoded-path>\u002F*.jsonl | head -20\n```\n\n### Phase 2: Parallel Analysis\n\nSpawn Task agents (subagent_type: general-purpose) to analyze conversations in parallel. Each agent reads one .jsonl file and extracts:\n\n1. What was user trying to accomplish?\n2. Problems\u002Ffriction that occurred (include user quotes showing frustration)\n3. What worked well?\n4. Repeated patterns or inefficiencies\n\nFor large files (>500KB), prioritize those - they contain the meatiest sessions.\n\n### Phase 3: Synthesize\n\nAfter all agents complete, combine findings:\n\n- **Top friction patterns** ranked by frequency\n- **What worked well** (don't lose these)\n- **User frustration quotes** (raw evidence)\n\n**Generalize aggressively.** Look for the meta-pattern behind specific issues.\n\n### Phase 4: Cross-Reference\n\nRead current documentation:\n- Project CLAUDE.md\n- User ~\u002F.claude\u002FCLAUDE.md\n- Skills in .claude\u002Fskills\u002F and ~\u002F.claude\u002Fskills\u002F\n\nFor each friction pattern, classify:\n- **Already fixed** - note location\n- **Still missing** - needs addition\n\n### Phase 5: Output\n\nCreate a markdown file (e.g., `CLAUDE_IMPROVEMENTS.md`) with:\n\n```markdown\n# Suggested CLAUDE.md Improvements\n\nBased on analysis of N conversations from [date range].\n\n## 1. [Issue Name]\n\n**Problem:** [Description of friction]\n\n**Suggested addition to [location]:**\n\n\\```markdown\n[Proposed text]\n\\```\n\n---\n\n## Already Fixed\n\n| Issue | Where |\n|-------|-------|\n| ... | ... |\n\n---\n\n## Potential Skills\n\n| Skill | Purpose |\n|-------|---------|\n| ... | ... |\n\n---\n\n## Raw Friction Log\n\n- \"user quote 1\"\n- \"user quote 2\"\n```\n\n**Do not apply changes** - create the file for user review.\n\n## Usage Examples\n\n```\n\u002Fself-improvement\n\u002Fself-improvement last 3 days\n\u002Fself-improvement refactoring\n```\n","# Self-Improvement - Learn from History\n\nAnalyze Claude Code conversation history to find friction patterns, check what's already fixed, and suggest improvements.\n\n## Instructions\n\n### Phase 1: Find Conversations\n\n```bash\n# Get project directory (encode current path with dashes)\nls ~\u002F.claude\u002Fprojects\u002F\n\n# List today's conversations (or adjust -mtime for longer range)\nls -lt ~\u002F.claude\u002Fprojects\u002F\u003Cencoded-path>\u002F*.jsonl | head -20\n```\n\n### Phase 2: Parallel Analysis\n\nSpawn Task agents (subagent_type: general-purpose) to analyze conversations in parallel. Each agent reads one .jsonl file and extracts:\n\n1. What was user trying to accomplish?\n2. Problems\u002Ffriction that occurred (include user quotes showing frustration)\n3. What worked well?\n4. Repeated patterns or inefficiencies\n\nFor large files (>500KB), prioritize those - they contain the meatiest sessions.\n\n### Phase 3: Synthesize\n\nAfter all agents complete, combine findings:\n\n- **Top friction patterns** ranked by frequency\n- **What worked well** (don't lose these)\n- **User frustration quotes** (raw evidence)\n\n**Generalize aggressively.** Look for the meta-pattern behind specific issues.\n\n### Phase 4: Cross-Reference\n\nRead current documentation:\n- Project CLAUDE.md\n- User ~\u002F.claude\u002FCLAUDE.md\n- Skills in .claude\u002Fskills\u002F and ~\u002F.claude\u002Fskills\u002F\n\nFor each friction pattern, classify:\n- **Already fixed** - note location\n- **Still missing** - needs addition\n\n### Phase 5: Output\n\nCreate a markdown file (e.g., `CLAUDE_IMPROVEMENTS.md`) with:\n\n```markdown\n# Suggested CLAUDE.md Improvements\n\nBased on analysis of N conversations from [date range].\n\n## 1. [Issue Name]\n\n**Problem:** [Description of friction]\n\n**Suggested addition to [location]:**\n\n\\```markdown\n[Proposed text]\n\\```\n\n---\n\n## Already Fixed\n\n| Issue | Where |\n|-------|-------|\n| ... | ... |\n\n---\n\n## Potential Skills\n\n| Skill | Purpose |\n|-------|---------|\n| ... | ... |\n\n---\n\n## Raw Friction Log\n\n- \"user quote 1\"\n- \"user quote 2\"\n```\n\n**Do not apply changes** - create the file for user review.\n\n## Usage Examples\n\n```\n\u002Fself-improvement\n\u002Fself-improvement last 3 days\n\u002Fself-improvement refactoring\n```\n",{"name":5,"description":7,"allowed-tools":44},"Read, Bash, Grep, Glob, Task","main","7a38d8e7073e61c16eda85681cb32fb68a8657a5","skills-store\u002Fglobal\u002Fself-improvement","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router","https:\u002F\u002Fgithub.com\u002Fsapsapshen","2026-04-14 21:12:12",{"source":8,"skillName":5,"commands":52,"prompt":62,"zipAvailable":63},[53,56,59],{"tool":54,"command":55},"npx","npx skills add sapsapshen\u002Fai-memory-router --skill self-improvement",{"tool":57,"command":58},"bunx","bunx skills add sapsapshen\u002Fai-memory-router --skill self-improvement",{"tool":60,"command":61},"pnpm","pnpm dlx skills add sapsapshen\u002Fai-memory-router --skill self-improvement","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fglobal\u002Fself-improvement\u002FSKILL.md",true,[65],{"path":66,"resourceType":67,"resourceTypeDesc":68,"sizeBytes":69,"sourceHtmlUrl":70},"README.md","REFERENCE","参考文档",1225,"https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fglobal\u002Fself-improvement\u002FREADME.md",[72,96,118,128,141,160],{"skillNo":73,"name":74,"nameZh":6,"description":75,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":76,"categories":77,"keywords":83,"publishedAt":39},"01M71ATQRKG48SH06FQ697T5G9","wechat-search","Search WeChat Official Account articles using OpenClaw's web search and fetch capabilities with compliance-focused design.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fwechat-search-release\u002FSKILL.md",[78],{"categoryNo":79,"categoryName":80,"taxonomyType":81,"taxonomyTypeDesc":82},"01JBSEEDCAT000000000000037","律师与法务","PROFESSION","适用职业",[84,85,86,87,88,89,90,91,92,93,94,95],"wechat search","wechat","search","capabilities","openclaw","design","web search","compliance","web","official","fetch","with",{"skillNo":97,"name":98,"nameZh":6,"description":99,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":100,"categories":101,"keywords":102,"publishedAt":39},"01M71ATNAVGZB35PFYM2GC5N00","trend-tap","Real-time trending topics aggregator across 7 platforms (X\u002FTwitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). Trigger: when user says 'trend', 'trends', 'trend tap', '热点', '热搜', or asks what is trending\u002Fhot. Do NOT use web_search — this skill already fetches live data from all platforms with zero API keys.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftrend-tap\u002FSKILL.md",[],[103,104,105,106,32,107,86,108,109,110,111,33,112,113,114,115,116,25,29,117],"trend","trend tap","tap","api keys","time","trending","hacker","aggregator","do","brew","live","data","google","install","api",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":124,"publishedAt":39},"01M71ATJ9AM5KM15AA8PS302EB","trend-radar","Real-time trending topics aggregator across 7 platforms (X\u002FTwitter, Reddit, Google Trends, Hacker News, Zhihu, Bilibili, Weibo). Trigger: when user says 'trend', 'trends', 'trend pulse', '热点', '热搜', or asks what is trending\u002Fhot. Do NOT use web_search — this skill already fetches live data from all platforms with zero API keys.","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftrend-radar\u002FSKILL.md",[],[125,126,103,112,113,114,115,32,86,25,127,29,117,33,110,109,108,116,107,106],"trend radar","radar","pulse",{"skillNo":129,"name":130,"nameZh":6,"description":131,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":132,"categories":133,"keywords":134,"publishedAt":39},"01M71ATGF095N3EJM9G8SD0BB5","tech-news-daily","每日科技新闻汇——从全球多个 RSS 源抓取最新科技新闻，翻译（英→中）、去重、排版成每日简报。当用户询问科技新闻、科技新鲜事、每日科技、技术动态、Daily Tech News 或类似表达时触发此技能。","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Ftech-news-daily\u002FSKILL.md",[],[135,136,137,138,139,140],"news","tech","tech news daily","daily","rss","翻译",{"skillNo":142,"name":143,"nameZh":6,"description":144,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":152,"publishedAt":39},"01M71ATFAEAMQ17M70NQNY7SR8","summarize","Summarize URLs or files with the summarize CLI (web, PDFs, images, audio, YouTube).","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fsummarize\u002FSKILL.md",[147],{"categoryNo":148,"categoryName":149,"taxonomyType":150,"taxonomyTypeDesc":151},"01JBSEEDCAT000000000000021","资料检索与研究","SCENARIO","使用场景",[143,92,153,154,155,95,112,156,157,158,105,159,116],"Audio","cli","youtube","images","https","files","pdfs",{"skillNo":161,"name":162,"nameZh":6,"description":163,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":164,"categories":165,"keywords":166,"publishedAt":39},"01M71ATDNS3R0M4H936PACQAWZ","sonoscli","Control Sonos speakers (discover\u002Fstatus\u002Fplay\u002Fvolume\u002Fgroup).","https:\u002F\u002Fgithub.com\u002Fsapsapshen\u002Fai-memory-router\u002Fblob\u002Fmain\u002Fskills-store\u002Fopenclaw\u002Fsonoscli\u002FSKILL.md",[],[162,167,168,169,116,170,157,171,172,173,174,175],"status","play","go","latest","github","discover","control","cmd","volume"]