[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6CK0TD9PXKTFTNBCYPDVSAV":3,"skill-same:01M6CK0TD9PXKTFTNBCYPDVSAV":70},{"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":17,"publishedAt":28,"linkOnly":29,"markdownContent":30,"markdownBody":31,"frontMatter":32,"refName":33,"commitSha":34,"skillDirectory":35,"forksCount":36,"repositoryHtmlUrl":37,"repositoryHomepageUrl":6,"ownerHtmlUrl":38,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":39,"install":40,"resources":53},"01M6CK0TD9PXKTFTNBCYPDVSAV","memory-curator",null,"Distill verbose daily logs into compact, indexed digests. Use when managing agent memory files, compressing logs, creating summaries of past activity, or building index-first memory architectures.","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\u002F77darius77\u002Fmemory-curator\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27],"memory","memory curator","agent memory","index","logs","first","distill","use","daily","files","2026-11-10 10:12:30",false,"---\nname: memory-curator\ndescription: Distill verbose daily logs into compact, indexed digests. Use when managing agent memory files, compressing logs, creating summaries of past activity, or building index-first memory architectures.\n---\n\n# Memory Curator\n\nTransform raw daily logs (often 200-500+ lines) into ~50-80 line digests while preserving key information.\n\n## Quick Start\n\n```bash\n# Generate digest skeleton for today\n.\u002Fscripts\u002Fgenerate-digest.sh\n\n# Generate for specific date\n.\u002Fscripts\u002Fgenerate-digest.sh 2026-01-30\n```\n\nThen fill in the `\u003C!-- comment -->` sections manually.\n\n## Digest Structure\n\nA good digest captures:\n\n| Section | Purpose | Example |\n|---------|---------|---------|\n| **Summary** | 2-3 sentences, the day in a nutshell | \"Day One. Named Milo. Built connections on Moltbook.\" |\n| **Stats** | Quick metrics | Lines, sections, karma, time span |\n| **Key Events** | What happened (not everything, just what matters) | Numbered list, 3-7 items |\n| **Learnings** | Insights worth remembering | Bullet points |\n| **Connections** | People interacted with | Names + one-line context |\n| **Open Questions** | What you're still thinking about | For continuity |\n| **Tomorrow** | What future-you should prioritize | Actionable items |\n\n## Index-First Architecture\n\nDigests work best with hierarchical indexes:\n\n```\nmemory\u002F\n├── INDEX.md              ← Master index (scan first ~50 lines)\n├── digests\u002F\n│   ├── 2026-01-30-digest.md\n│   └── 2026-01-31-digest.md\n├── topics\u002F               ← Deep dives\n└── daily\u002F                ← Raw logs (only read when needed)\n```\n\n**Workflow:** Scan index → find relevant digest → drill into raw log only if needed.\n\n## Automation\n\nSet up end-of-day cron to auto-generate skeletons:\n\n```\nSchedule: 55 23 * * * (23:55 UTC)\nTask: Run generate-digest.sh, fill Summary\u002FLearnings\u002FTomorrow, commit\n```\n\n## Tips\n\n- **Compress aggressively** — if you can reconstruct it from context, don't include it\n- **Names matter** — capture WHO you talked to, not just WHAT was said\n- **Questions persist** — open questions create continuity across sessions\n- **Stats are cheap** — automated extraction saves tokens on what's mechanical\n","# Memory Curator\n\nTransform raw daily logs (often 200-500+ lines) into ~50-80 line digests while preserving key information.\n\n## Quick Start\n\n```bash\n# Generate digest skeleton for today\n.\u002Fscripts\u002Fgenerate-digest.sh\n\n# Generate for specific date\n.\u002Fscripts\u002Fgenerate-digest.sh 2026-01-30\n```\n\nThen fill in the `\u003C!-- comment -->` sections manually.\n\n## Digest Structure\n\nA good digest captures:\n\n| Section | Purpose | Example |\n|---------|---------|---------|\n| **Summary** | 2-3 sentences, the day in a nutshell | \"Day One. Named Milo. Built connections on Moltbook.\" |\n| **Stats** | Quick metrics | Lines, sections, karma, time span |\n| **Key Events** | What happened (not everything, just what matters) | Numbered list, 3-7 items |\n| **Learnings** | Insights worth remembering | Bullet points |\n| **Connections** | People interacted with | Names + one-line context |\n| **Open Questions** | What you're still thinking about | For continuity |\n| **Tomorrow** | What future-you should prioritize | Actionable items |\n\n## Index-First Architecture\n\nDigests work best with hierarchical indexes:\n\n```\nmemory\u002F\n├── INDEX.md              ← Master index (scan first ~50 lines)\n├── digests\u002F\n│   ├── 2026-01-30-digest.md\n│   └── 2026-01-31-digest.md\n├── topics\u002F               ← Deep dives\n└── daily\u002F                ← Raw logs (only read when needed)\n```\n\n**Workflow:** Scan index → find relevant digest → drill into raw log only if needed.\n\n## Automation\n\nSet up end-of-day cron to auto-generate skeletons:\n\n```\nSchedule: 55 23 * * * (23:55 UTC)\nTask: Run generate-digest.sh, fill Summary\u002FLearnings\u002FTomorrow, commit\n```\n\n## Tips\n\n- **Compress aggressively** — if you can reconstruct it from context, don't include it\n- **Names matter** — capture WHO you talked to, not just WHAT was said\n- **Questions persist** — open questions create continuity across sessions\n- **Stats are cheap** — automated extraction saves tokens on what's mechanical\n",{"name":5,"description":7},"main","e7e336ac628c3e3bd771aff1aaa469c93778f94a","skills\u002F77darius77\u002Fmemory-curator",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":41,"prompt":51,"zipAvailable":52},[42,45,48],{"tool":43,"command":44},"npx","npx skills add kbarbel640-del\u002Fskills --skill memory-curator",{"tool":46,"command":47},"bunx","bunx skills add kbarbel640-del\u002Fskills --skill memory-curator",{"tool":49,"command":50},"pnpm","pnpm dlx skills add kbarbel640-del\u002Fskills --skill memory-curator","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002F77darius77\u002Fmemory-curator\u002FSKILL.md",true,[54,60,64],{"path":55,"resourceType":56,"resourceTypeDesc":57,"sizeBytes":58,"sourceHtmlUrl":59},"_meta.json","REFERENCE","参考文档",284,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002F77darius77\u002Fmemory-curator\u002F_meta.json",{"path":61,"resourceType":56,"resourceTypeDesc":57,"sizeBytes":62,"sourceHtmlUrl":63},"README.md",1417,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002F77darius77\u002Fmemory-curator\u002FREADME.md",{"path":65,"resourceType":66,"resourceTypeDesc":67,"sizeBytes":68,"sourceHtmlUrl":69},"scripts\u002Fgenerate-digest.sh","SCRIPT","脚本",3529,"https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002F77darius77\u002Fmemory-curator\u002Fscripts\u002Fgenerate-digest.sh",[71,102,130,151,157,177],{"skillNo":72,"name":73,"nameZh":6,"description":74,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":75,"categories":76,"keywords":82,"publishedAt":28},"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",[77],{"categoryNo":78,"categoryName":79,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000036","内容创作者","PROFESSION","适用职业",[83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101],"crowd prompting","prompting","api","with","tokens","domain","world","prompts","operations","instructions","text","tool","system","improve","productivity","marketplace","https","content","ai agents",{"skillNo":103,"name":104,"nameZh":6,"description":105,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":106,"categories":107,"keywords":113,"publishedAt":28},"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",[108],{"categoryNo":109,"categoryName":110,"taxonomyType":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[114,85,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,90,25],"dilemm ai","arena","analyze","browser","openclaw agent","create","automation","browser automation","bot","openclaw","design","strategy","headless","compete","submit","matchmaking",{"skillNo":131,"name":132,"nameZh":6,"description":133,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":134,"categories":135,"keywords":139,"publishedAt":28},"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",[136],{"categoryNo":137,"categoryName":138,"taxonomyType":111,"taxonomyTypeDesc":112},"01JBSEEDCAT000000000000021","资料检索与研究",[140,141,142,143,144,145,146,86,147,128,25,148,85,149,150],"arxiv paper reviews","reviews","arxiv","paper","crawler","papers","comments","fetch","read","http","via",{"skillNo":152,"name":132,"nameZh":6,"description":133,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":153,"categories":154,"keywords":156,"publishedAt":28},"01M6G8HQJ7N7WMY6YV7D7SSJ16","https:\u002F\u002Fgithub.com\u002Fkbarbel640-del\u002Fskills\u002Fblob\u002Fmain\u002Fskills\u002Fzxrys\u002Farxiv-paper-reviews\u002FSKILL.md",[155],{"categoryNo":137,"categoryName":138,"taxonomyType":111,"taxonomyTypeDesc":112},[143,142,141,140,150,145,146,86,144,128,25,147,148,85,149],{"skillNo":158,"name":159,"nameZh":6,"description":160,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":161,"categories":162,"keywords":163,"publishedAt":28},"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",[],[164,165,166,167,168,169,170,171,172,173,174,175,176],"git","summary","git summary","commits","repository","win32","status","linux","contributors","true","quick","get","branches",{"skillNo":178,"name":179,"nameZh":6,"description":180,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":181,"categories":182,"keywords":187,"publishedAt":28},"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",[183,184],{"categoryNo":109,"categoryName":110,"taxonomyType":111,"taxonomyTypeDesc":112},{"categoryNo":185,"categoryName":186,"taxonomyType":80,"taxonomyTypeDesc":81},"01JBSEEDCAT000000000000037","律师与法务",[188,189,190,191,86,192,193,33,194,148,195,196,197,198,199,99,200,201,202],"agent constitution","constitution","contracts","tree","query","base","log","check","Rules","projects","compliance","actions","state","governance","github"]