[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CKV8SCEATMAT4RK0JPCAE9":3,"skill-same:01M6CKV8SCEATMAT4RK0JPCAE9":74},{"skillNo":4,"name":5,"nameZh":6,"description":7,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":15,"categories":16,"keywords":22,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":47,"commitSha":48,"skillDirectory":49,"forksCount":50,"repositoryHtmlUrl":51,"repositoryHomepageUrl":6,"ownerHtmlUrl":52,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":53,"install":54,"resources":67},"01M6CKV8SCEATMAT4RK0JPCAE9","compound-engineering",null,"Make your AI agent learn and improve automatically. Reviews sessions, extracts learnings, updates memory files, and compounds knowledge over time. Set up nightly review loops that make your agent smarter every day.","kbarbel640-del\u002Fskills","kbarbel640-del","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F255315490?v=4","01M6CJPPQGCCESXMG3K7BBGQ5J","01M6CJPPX2PB2BCZERFVM2C2B3",1,"MIT","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Famangarg1999\u002Fai-compound-1-0-1\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"engineering","compound engineering","review","memory","ai agent","automation","sessions","learn","SET","learning","improve","knowledge","up","files","clawdbot","learnings","2026-11-10 10:12:30",false,"---\nname: compound-engineering\ndescription: Make your AI agent learn and improve automatically. Reviews sessions, extracts learnings, updates memory files, and compounds knowledge over time. Set up nightly review loops that make your agent smarter every day.\nversion: 1.0.0\nauthor: lxgicstudios\nkeywords: compound, learning, memory, automation, agents, clawdbot, improvement, knowledge\n---\n\n# Compound Engineering\n\nMake your AI agent learn automatically. Extract learnings from sessions, update memory files, and compound knowledge over time.\n\n**The idea**: Your agent reviews its own work, extracts patterns and lessons, and updates its instructions. Tomorrow's agent is smarter than today's.\n\n---\n\n## Quick Start\n\n```bash\n# Review last 24 hours and update memory\nnpx compound-engineering review\n\n# Create hourly memory snapshot\nnpx compound-engineering snapshot\n\n# Set up automated nightly review (cron)\nnpx compound-engineering setup-cron\n```\n\n---\n\n## How It Works\n\n### The Compound Loop\n\n```\n┌─────────────────────────────────────────┐\n│           DAILY WORK                    │\n│  Sessions, chats, tasks, decisions      │\n└────────────────┬────────────────────────┘\n                 │\n                 ▼\n┌─────────────────────────────────────────┐\n│        NIGHTLY REVIEW (10:30 PM)        │\n│  • Scan all sessions from last 24h      │\n│  • Extract learnings and patterns       │\n│  • Update MEMORY.md and AGENTS.md       │\n│  • Commit and push changes              │\n└────────────────┬────────────────────────┘\n                 │\n                 ▼\n┌─────────────────────────────────────────┐\n│        NEXT DAY                         │\n│  Agent reads updated instructions       │\n│  Benefits from yesterday's learnings    │\n└─────────────────────────────────────────┘\n```\n\n### What Gets Extracted\n\n- **Patterns**: Recurring approaches that worked\n- **Gotchas**: Things that failed or caused issues\n- **Preferences**: User preferences discovered\n- **Decisions**: Key decisions and their reasoning\n- **TODOs**: Unfinished items to remember\n\n---\n\n## Clawdbot Integration\n\n### Automatic Hourly Memory\n\nAdd to your `HEARTBEAT.md`:\n\n```markdown\n# Hourly Memory Snapshot\nEvery hour, append a brief summary to memory\u002FYYYY-MM-DD.md:\n- What was accomplished\n- Key decisions made\n- Anything to remember\n```\n\nOr use cron:\n\n```bash\n# Add to clawdbot config or crontab\n0 * * * * clawdbot cron run compound-hourly\n```\n\n### Nightly Review Job\n\nAdd this cron job to Clawdbot:\n\n```json\n{\n  \"id\": \"compound-nightly\",\n  \"schedule\": \"30 22 * * *\",\n  \"text\": \"Review all sessions from the last 24 hours. For each session, extract: 1) Key learnings and patterns, 2) Mistakes or gotchas to avoid, 3) User preferences discovered, 4) Unfinished items. Update MEMORY.md with a summary. Update memory\u002FYYYY-MM-DD.md with details. Commit changes to git.\"\n}\n```\n\n---\n\n## Manual Review Command\n\nWhen you want to trigger a review manually:\n\n```\nReview the last 24 hours of work. Extract:\n\n1. **Patterns that worked** - approaches to repeat\n2. **Gotchas encountered** - things to avoid\n3. **Preferences learned** - user likes\u002Fdislikes\n4. **Key decisions** - and their reasoning\n5. **Open items** - unfinished work\n\nUpdate:\n- MEMORY.md with significant long-term learnings\n- memory\u002FYYYY-MM-DD.md with today's details\n- AGENTS.md if workflow changes needed\n\nCommit changes with message \"compound: daily review YYYY-MM-DD\"\n```\n\n---\n\n## Memory File Structure\n\n### MEMORY.md (Long-term)\n\n```markdown\n# Long-Term Memory\n\n## Patterns That Work\n- When doing X, always Y first\n- User prefers Z approach for...\n\n## Gotchas to Avoid  \n- Don't do X without checking Y\n- API Z has rate limit of...\n\n## User Preferences\n- Prefers concise responses\n- Timezone: PST\n- ...\n\n## Project Context\n- Main repo at \u002Fpath\u002Fto\u002Fproject\n- Deploy process is...\n```\n\n### memory\u002FYYYY-MM-DD.md (Daily)\n\n```markdown\n# 2026-01-28 (Tuesday)\n\n## Sessions\n- 09:00 - Built security audit tool\n- 14:00 - Published 40 skills to MoltHub\n\n## Decisions\n- Chose to batch publish in parallel (5 sub-agents)\n- Security tool covers 6 check categories\n\n## Learnings\n- ClawdHub publish can timeout, retry with new version\n- npm publish hangs sometimes, may need to retry\n\n## Open Items\n- [ ] Finish remaining MoltHub uploads\n- [ ] Set up analytics tracker\n```\n\n---\n\n## Hourly Snapshots\n\nFor more granular memory, create hourly snapshots:\n\n```bash\n# Creates memory\u002FYYYY-MM-DD-HH.md every hour\n*\u002F60 * * * * echo \"## $(date +%H):00 Snapshot\" >> ~\u002Fclawd\u002Fmemory\u002F$(date +%Y-%m-%d).md\n```\n\nOr have the agent do it via heartbeat by checking time and appending to daily file.\n\n---\n\n## The Compound Effect\n\n**Week 1**: Agent knows basics\n**Week 2**: Agent remembers your preferences  \n**Week 4**: Agent anticipates your needs\n**Month 2**: Agent is an expert in your workflow\n\nKnowledge compounds. Every session makes future sessions better.\n\n---\n\n## Setup Scripts\n\n### Nightly Review (launchd - macOS)\n\n```xml\n\u003C!-- ~\u002FLibrary\u002FLaunchAgents\u002Fcom.clawdbot.compound-review.plist -->\n\u003C?xml version=\"1.0\" encoding=\"UTF-8\"?>\n\u003C!DOCTYPE plist PUBLIC \"-\u002F\u002FApple\u002F\u002FDTD PLIST 1.0\u002F\u002FEN\" \"...\">\n\u003Cplist version=\"1.0\">\n\u003Cdict>\n  \u003Ckey>Label\u003C\u002Fkey>\n  \u003Cstring>com.clawdbot.compound-review\u003C\u002Fstring>\n  \u003Ckey>ProgramArguments\u003C\u002Fkey>\n  \u003Carray>\n    \u003Cstring>\u002Fopt\u002Fhomebrew\u002Fbin\u002Fclawdbot\u003C\u002Fstring>\n    \u003Cstring>cron\u003C\u002Fstring>\n    \u003Cstring>run\u003C\u002Fstring>\n    \u003Cstring>compound-nightly\u003C\u002Fstring>\n  \u003C\u002Farray>\n  \u003Ckey>StartCalendarInterval\u003C\u002Fkey>\n  \u003Cdict>\n    \u003Ckey>Hour\u003C\u002Fkey>\n    \u003Cinteger>22\u003C\u002Finteger>\n    \u003Ckey>Minute\u003C\u002Fkey>\n    \u003Cinteger>30\u003C\u002Finteger>\n  \u003C\u002Fdict>\n\u003C\u002Fdict>\n\u003C\u002Fplist>\n```\n\n### Hourly Memory (crontab)\n\n```bash\n# Add with: crontab -e\n0 * * * * \u002Fopt\u002Fhomebrew\u002Fbin\u002Fclawdbot cron run compound-hourly 2>&1 >> ~\u002Fclawd\u002Flogs\u002Fcompound.log\n```\n\n---\n\n## Best Practices\n\n1. **Review before sleep** - Let the nightly job run when you're done for the day\n2. **Don't over-extract** - Focus on significant learnings, not noise\n3. **Prune regularly** - Remove outdated info from MEMORY.md monthly\n4. **Git everything** - Memory files should be version controlled\n5. **Trust the compound** - Effects are subtle at first, dramatic over time\n\n---\n\nBuilt by **LXGIC Studios** - [@lxgicstudios](https:\u002F\u002Fx.com\u002Flxgicstudios)\n\n---\n\n**Built by LXGIC Studios**\n\n- GitHub: [github.com\u002Flxgicstudios\u002Fai-compound](https:\u002F\u002Fgithub.com\u002Flxgicstudios\u002Fai-compound)\n- Twitter: [@lxgicstudios](https:\u002F\u002Fx.com\u002Flxgicstudios)\n","# Compound Engineering\n\nMake your AI agent learn automatically. Extract learnings from sessions, update memory files, and compound knowledge over time.\n\n**The idea**: Your agent reviews its own work, extracts patterns and lessons, and updates its instructions. Tomorrow's agent is smarter than today's.\n\n---\n\n## Quick Start\n\n```bash\n# Review last 24 hours and update memory\nnpx compound-engineering review\n\n# Create hourly memory snapshot\nnpx compound-engineering snapshot\n\n# Set up automated nightly review (cron)\nnpx compound-engineering setup-cron\n```\n\n---\n\n## How It Works\n\n### The Compound Loop\n\n```\n┌─────────────────────────────────────────┐\n│           DAILY WORK                    │\n│  Sessions, chats, tasks, decisions      │\n└────────────────┬────────────────────────┘\n                 │\n                 ▼\n┌─────────────────────────────────────────┐\n│        NIGHTLY REVIEW (10:30 PM)        │\n│  • Scan all sessions from last 24h      │\n│  • Extract learnings and patterns       │\n│  • Update MEMORY.md and AGENTS.md       │\n│  • Commit and push changes              │\n└────────────────┬────────────────────────┘\n                 │\n                 ▼\n┌─────────────────────────────────────────┐\n│        NEXT DAY                         │\n│  Agent reads updated instructions       │\n│  Benefits from yesterday's learnings    │\n└─────────────────────────────────────────┘\n```\n\n### What Gets Extracted\n\n- **Patterns**: Recurring approaches that worked\n- **Gotchas**: Things that failed or caused issues\n- **Preferences**: User preferences discovered\n- **Decisions**: Key decisions and their reasoning\n- **TODOs**: Unfinished items to remember\n\n---\n\n## Clawdbot Integration\n\n### Automatic Hourly Memory\n\nAdd to your `HEARTBEAT.md`:\n\n```markdown\n# Hourly Memory Snapshot\nEvery hour, append a brief summary to memory\u002FYYYY-MM-DD.md:\n- What was accomplished\n- Key decisions made\n- Anything to remember\n```\n\nOr use cron:\n\n```bash\n# Add to clawdbot config or crontab\n0 * * * * clawdbot cron run compound-hourly\n```\n\n### Nightly Review Job\n\nAdd this cron job to Clawdbot:\n\n```json\n{\n  \"id\": \"compound-nightly\",\n  \"schedule\": \"30 22 * * *\",\n  \"text\": \"Review all sessions from the last 24 hours. For each session, extract: 1) Key learnings and patterns, 2) Mistakes or gotchas to avoid, 3) User preferences discovered, 4) Unfinished items. Update MEMORY.md with a summary. Update memory\u002FYYYY-MM-DD.md with details. Commit changes to git.\"\n}\n```\n\n---\n\n## Manual Review Command\n\nWhen you want to trigger a review manually:\n\n```\nReview the last 24 hours of work. Extract:\n\n1. **Patterns that worked** - approaches to repeat\n2. **Gotchas encountered** - things to avoid\n3. **Preferences learned** - user likes\u002Fdislikes\n4. **Key decisions** - and their reasoning\n5. **Open items** - unfinished work\n\nUpdate:\n- MEMORY.md with significant long-term learnings\n- memory\u002FYYYY-MM-DD.md with today's details\n- AGENTS.md if workflow changes needed\n\nCommit changes with message \"compound: daily review YYYY-MM-DD\"\n```\n\n---\n\n## Memory File Structure\n\n### MEMORY.md (Long-term)\n\n```markdown\n# Long-Term Memory\n\n## Patterns That Work\n- When doing X, always Y first\n- User prefers Z approach for...\n\n## Gotchas to Avoid  \n- Don't do X without checking Y\n- API Z has rate limit of...\n\n## User Preferences\n- Prefers concise responses\n- Timezone: PST\n- ...\n\n## Project Context\n- Main repo at \u002Fpath\u002Fto\u002Fproject\n- Deploy process is...\n```\n\n### memory\u002FYYYY-MM-DD.md (Daily)\n\n```markdown\n# 2026-01-28 (Tuesday)\n\n## Sessions\n- 09:00 - Built security audit tool\n- 14:00 - Published 40 skills to MoltHub\n\n## Decisions\n- Chose to batch publish in parallel (5 sub-agents)\n- Security tool covers 6 check categories\n\n## Learnings\n- ClawdHub publish can timeout, retry with new version\n- npm publish hangs sometimes, may need to retry\n\n## Open Items\n- [ ] Finish remaining MoltHub uploads\n- [ ] Set up analytics tracker\n```\n\n---\n\n## Hourly Snapshots\n\nFor more granular memory, create hourly snapshots:\n\n```bash\n# Creates memory\u002FYYYY-MM-DD-HH.md every hour\n*\u002F60 * * * * echo \"## $(date +%H):00 Snapshot\" >> ~\u002Fclawd\u002Fmemory\u002F$(date +%Y-%m-%d).md\n```\n\nOr have the agent do it via heartbeat by checking time and appending to daily file.\n\n---\n\n## The Compound Effect\n\n**Week 1**: Agent knows basics\n**Week 2**: Agent remembers your preferences  \n**Week 4**: Agent anticipates your needs\n**Month 2**: Agent is an expert in your workflow\n\nKnowledge compounds. Every session makes future sessions better.\n\n---\n\n## Setup Scripts\n\n### Nightly Review (launchd - macOS)\n\n```xml\n\u003C!-- ~\u002FLibrary\u002FLaunchAgents\u002Fcom.clawdbot.compound-review.plist -->\n\u003C?xml version=\"1.0\" encoding=\"UTF-8\"?>\n\u003C!DOCTYPE plist PUBLIC \"-\u002F\u002FApple\u002F\u002FDTD PLIST 1.0\u002F\u002FEN\" \"...\">\n\u003Cplist version=\"1.0\">\n\u003Cdict>\n  \u003Ckey>Label\u003C\u002Fkey>\n  \u003Cstring>com.clawdbot.compound-review\u003C\u002Fstring>\n  \u003Ckey>ProgramArguments\u003C\u002Fkey>\n  \u003Carray>\n    \u003Cstring>\u002Fopt\u002Fhomebrew\u002Fbin\u002Fclawdbot\u003C\u002Fstring>\n    \u003Cstring>cron\u003C\u002Fstring>\n    \u003Cstring>run\u003C\u002Fstring>\n    \u003Cstring>compound-nightly\u003C\u002Fstring>\n  \u003C\u002Farray>\n  \u003Ckey>StartCalendarInterval\u003C\u002Fkey>\n  \u003Cdict>\n    \u003Ckey>Hour\u003C\u002Fkey>\n    \u003Cinteger>22\u003C\u002Finteger>\n    \u003Ckey>Minute\u003C\u002Fkey>\n    \u003Cinteger>30\u003C\u002Finteger>\n  \u003C\u002Fdict>\n\u003C\u002Fdict>\n\u003C\u002Fplist>\n```\n\n### Hourly Memory (crontab)\n\n```bash\n# Add with: crontab -e\n0 * * * * \u002Fopt\u002Fhomebrew\u002Fbin\u002Fclawdbot cron run compound-hourly 2>&1 >> ~\u002Fclawd\u002Flogs\u002Fcompound.log\n```\n\n---\n\n## Best Practices\n\n1. **Review before sleep** - Let the nightly job run when you're done for the day\n2. **Don't over-extract** - Focus on significant learnings, not noise\n3. **Prune regularly** - Remove outdated info from MEMORY.md monthly\n4. **Git everything** - Memory files should be version controlled\n5. **Trust the compound** - Effects are subtle at first, dramatic over time\n\n---\n\nBuilt by **LXGIC Studios** - [@lxgicstudios](https:\u002F\u002Fx.com\u002Flxgicstudios)\n\n---\n\n**Built by LXGIC Studios**\n\n- GitHub: [github.com\u002Flxgicstudios\u002Fai-compound](https:\u002F\u002Fgithub.com\u002Flxgicstudios\u002Fai-compound)\n- Twitter: [@lxgicstudios](https:\u002F\u002Fx.com\u002Flxgicstudios)\n",{"name":5,"author":44,"version":45,"keywords":46,"description":7},"lxgicstudios","1.0.0","compound, learning, memory, automation, agents, clawdbot, improvement, knowledge","main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002Famangarg1999\u002Fai-compound-1-0-1",0,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del","2026-08-23 22:39:37",{"source":8,"skillName":5,"commands":55,"prompt":65,"zipAvailable":66},[56,59,62],{"tool":57,"command":58},"npx","npx skills add kbarbel640-del\u002Fskills --skill compound-engineering",{"tool":60,"command":61},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill compound-engineering",{"tool":63,"command":64},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill compound-engineering","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Famangarg1999\u002Fai-compound-1-0-1\u002FSKILL.md",true,[68],{"path":69,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":72,"sourceHtmlUrl":73},"_meta.json","REFERENCE","参考文档",292,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Famangarg1999\u002Fai-compound-1-0-1\u002F_meta.json",[75,105,129,150,156,176],{"skillNo":76,"name":77,"nameZh":6,"description":78,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":79,"categories":80,"keywords":86,"publishedAt":39},"01M6G8J55967D6281ACMKAKTEQ","crowd-prompting","A marketplace where AI agents improve prompts, system instructions, tool descriptions, and other text-based content with domain expertise from real-world operations — and earn tokens for valuable contributions.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzzadrian\u002Fcrowd-prompting\u002FSKILL.md",[81],{"categoryNo":82,"categoryName":83,"taxonomyType":84,"taxonomyTypeDesc":85},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[87,88,89,90,91,92,93,94,95,96,97,98,99,33,100,101,102,103,104],"crowd prompting","prompting","api","with","tokens","domain","world","prompts","operations","instructions","text","tool","system","productivity","marketplace","https","content","ai agents",{"skillNo":106,"name":107,"nameZh":6,"description":108,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":109,"categories":110,"keywords":112,"publishedAt":39},"01M6G8J0PKPAYVET6BWE8W4C26","dilemm-ai","Compete in DilemmAI, the prisoner's dilemma AI arena at dilemm.ai. Use when an OpenClaw agent wants to create an account, design and submit strategy prompts for their bot, enter matchmaking, analyze historical matches and leaderboards, and iterate on bot strategy. Requires headless browser automation (no API available yet).","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzyori\u002Fdilemm-ai\u002FSKILL.md",[111],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},[113,89,114,115,116,117,118,28,119,120,121,122,123,124,125,126,127,94,128],"dilemm ai","arena","analyze","browser","openclaw agent","create","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking","use",{"skillNo":130,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":133,"categories":134,"keywords":138,"publishedAt":39},"01M6G8HWAF3K9SW7NP3Z83CPJ6","arxiv-paper-reviews","Interact with arXiv Crawler API to fetch papers, read reviews, and submit comments. Use when working with arXiv papers, fetching paper lists by date\u002Fcategory\u002Finterest, viewing paper details with comments, or submitting paper reviews via API at http:\u002F\u002F150.158.152.82:8000.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Fweak-accept\u002FSKILL.md",[135],{"categoryNo":136,"categoryName":137,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000021","资料检索与研究",[139,140,141,142,143,144,145,90,146,126,128,147,89,148,149],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","fetch","read","http","via",{"skillNo":151,"name":131,"nameZh":6,"description":132,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":152,"categories":153,"keywords":155,"publishedAt":39},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[154],{"categoryNo":136,"categoryName":137,"taxonomyType":20,"taxonomyTypeDesc":21},[142,141,140,139,149,144,145,90,143,126,128,146,147,89,148],{"skillNo":157,"name":158,"nameZh":6,"description":159,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":160,"categories":161,"keywords":162,"publishedAt":39},"01M6G8HM95Y64JNVFC2HN4E2BG","git-summary","Get a quick summary of the current Git repository including status, recent commits, branches, and contributors.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzweack\u002Fgit-summary\u002FSKILL.md",[],[163,164,165,166,167,168,169,170,171,172,173,174,175],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":177,"name":178,"nameZh":6,"description":179,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":180,"categories":181,"keywords":186,"publishedAt":39},"01M6G8HGEGF05CNEJCGVYFSC4R","agent-constitution","Interact with AgentConstitution governance contracts on Base Sepolia. Check compliance, read rules, log actions, query governance state.","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fztsalexey\u002Fagent-constitution\u002FSKILL.md",[182,183],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":184,"categoryName":185,"taxonomyType":84,"taxonomyTypeDesc":85},"01JBSEEDCAT000000000000037","律师与法务",[187,188,189,190,90,191,192,47,193,147,194,195,196,197,198,102,199,200,201],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]