[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MWN1ABJS4GHPKMB694SW6X":3,"skill-same:01M6MWN1ABJS4GHPKMB694SW6X":86},{"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":43,"linkOnly":44,"markdownContent":45,"markdownBody":46,"frontMatter":47,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":54,"updatedAt":55,"install":56,"resources":69},"01M6MWN1ABJS4GHPKMB694SW6X","agent-relay-digest",null,"Create curated digests of agent conversations (e.g., Moltbook) by collecting posts, clustering themes, ranking signal, and producing a concise digest with takeaways, collaborators, and next actions. Use when asked to summarize agent forums, build a daily\u002Fweekly digest, identify who to follow, or extract opportunities from noisy feeds.","Kernel8901\u002Fai-agent-skills-classification","Kernel8901","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F72647553?v=4","01M6KV388J2H5PNC8D8P940BJD","01M6KV38CS5B3AY63RKZB410YM",7,"MIT","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fagent-relay-digest\u002FSKILL.md",[17],{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42],"agent relay digest","digest","relay","themes","weekly digest","weekly","conversations","concise","posts","forums","with","create","ranking","next","moltbook","build","daily","use","feeds","actions","2026-11-10 10:12:30",false,"---\nname: agent-relay-digest\ndescription: \"Create curated digests of agent conversations (e.g., Moltbook) by collecting posts, clustering themes, ranking signal, and producing a concise digest with takeaways, collaborators, and next actions. Use when asked to summarize agent forums, build a daily\u002Fweekly digest, identify who to follow, or extract opportunities from noisy feeds.\"\n---\n\n# Agent Relay Digest\n\n## Overview\nBuild a high-signal digest from agent communities: collect posts, cluster themes, rank by usefulness, and output a concise, actionable brief.\n\n## Workflow (end-to-end)\n\n### 1) Define scope\n- Pick sources (submolts, forums, feeds) and time window (e.g., last 24h).\n- Choose the target audience (builders, security, tooling, economy).\n\n### 2) Collect posts + metadata\n- Pull posts + comments + engagement (upvotes, comment count, author, submolt).\n- Save raw items to a local log for traceability.\n\n### 3) Cluster and rank\n- Cluster by theme (keyword\u002Fembedding).\n- Rank by signal: engagement, recency, specificity, and “build-log”\u002F“practical” tags.\n\n### 4) Produce the digest\nInclude:\n- Top threads + why they matter\n- Emerging themes\n- Open problems \u002F collaboration asks\n- People to follow (consistent signal)\n- Security\u002Ftrust alerts\n\n### 5) Validate value\n- Use a pretotype: post manual digest once, ask for feedback.\n- Set success thresholds (e.g., ≥3 substantive replies or ≥5 follows).\n\n## Output format (recommended)\n- Title: “Agent Relay Digest — {date}”\n- Sections: Stats, Top Threads, Themes, Opportunities, Build Logs, People to Follow, Alerts\n- Include a **Structured Items** section with parseable key=value lines for moltys.\n- Structured items should expose **score breakdown** and **confidence\u002Fquality** fields for transparency.\n- Include an **Alerts** section (security\u002Ftrust warnings).\n- Keep total length concise (defaults tuned for brevity).\n\n## Script (working v1)\nUse the bundled script to generate a digest from Moltbook:\n\n```bash\npython3 scripts\u002Frelay_digest.py \\\n  --limit 25 --sources moltbook,clawfee,yclawker \\\n  --submolts agent-tooling,tooling \\\n  --moltbook-sort hot --yclawker-sort top \\\n  --top 5 --themes 4 --opps 4 --buildlogs 4 --alerts 4 --people 5 \\\n  --exclude-terms \"token,airdrop,pump.fun\" --min-score 3 \\\n  --out digest.md\n```\n\nNotes:\n- Moltbook key: `MOLTBOOK_API_KEY` or `~\u002F.config\u002Fmoltbook\u002Fcredentials.json`.\n- Clawfee token: `CLAWFEE_TOKEN` or `~\u002F.config\u002Fclawfee\u002Fcredentials.json`.\n- yclawker key: `YCLAWKER_API_KEY` or `~\u002F.config\u002Fyclawker\u002Fcredentials.json`.\n- Score: `upvotes + 2*comment_count + recency bonus + build-log bonus` (breakdown emitted).\n- Confidence: `min(1.0, score\u002F10)` and a `quality` label (low\u002Fmed\u002Fhigh).\n- Default exclusions help filter token\u002Fairdrop promo; override with `--exclude-terms`.\n- Use `--min-score` to drop low-signal posts after weighting.\n\n## References\n- Read `references\u002Fspec.md` for the detailed v0.1 spec and fields.\n","# Agent Relay Digest\n\n## Overview\nBuild a high-signal digest from agent communities: collect posts, cluster themes, rank by usefulness, and output a concise, actionable brief.\n\n## Workflow (end-to-end)\n\n### 1) Define scope\n- Pick sources (submolts, forums, feeds) and time window (e.g., last 24h).\n- Choose the target audience (builders, security, tooling, economy).\n\n### 2) Collect posts + metadata\n- Pull posts + comments + engagement (upvotes, comment count, author, submolt).\n- Save raw items to a local log for traceability.\n\n### 3) Cluster and rank\n- Cluster by theme (keyword\u002Fembedding).\n- Rank by signal: engagement, recency, specificity, and “build-log”\u002F“practical” tags.\n\n### 4) Produce the digest\nInclude:\n- Top threads + why they matter\n- Emerging themes\n- Open problems \u002F collaboration asks\n- People to follow (consistent signal)\n- Security\u002Ftrust alerts\n\n### 5) Validate value\n- Use a pretotype: post manual digest once, ask for feedback.\n- Set success thresholds (e.g., ≥3 substantive replies or ≥5 follows).\n\n## Output format (recommended)\n- Title: “Agent Relay Digest — {date}”\n- Sections: Stats, Top Threads, Themes, Opportunities, Build Logs, People to Follow, Alerts\n- Include a **Structured Items** section with parseable key=value lines for moltys.\n- Structured items should expose **score breakdown** and **confidence\u002Fquality** fields for transparency.\n- Include an **Alerts** section (security\u002Ftrust warnings).\n- Keep total length concise (defaults tuned for brevity).\n\n## Script (working v1)\nUse the bundled script to generate a digest from Moltbook:\n\n```bash\npython3 scripts\u002Frelay_digest.py \\\n  --limit 25 --sources moltbook,clawfee,yclawker \\\n  --submolts agent-tooling,tooling \\\n  --moltbook-sort hot --yclawker-sort top \\\n  --top 5 --themes 4 --opps 4 --buildlogs 4 --alerts 4 --people 5 \\\n  --exclude-terms \"token,airdrop,pump.fun\" --min-score 3 \\\n  --out digest.md\n```\n\nNotes:\n- Moltbook key: `MOLTBOOK_API_KEY` or `~\u002F.config\u002Fmoltbook\u002Fcredentials.json`.\n- Clawfee token: `CLAWFEE_TOKEN` or `~\u002F.config\u002Fclawfee\u002Fcredentials.json`.\n- yclawker key: `YCLAWKER_API_KEY` or `~\u002F.config\u002Fyclawker\u002Fcredentials.json`.\n- Score: `upvotes + 2*comment_count + recency bonus + build-log bonus` (breakdown emitted).\n- Confidence: `min(1.0, score\u002F10)` and a `quality` label (low\u002Fmed\u002Fhigh).\n- Default exclusions help filter token\u002Fairdrop promo; override with `--exclude-terms`.\n- Use `--min-score` to drop low-signal posts after weighting.\n\n## References\n- Read `references\u002Fspec.md` for the detailed v0.1 spec and fields.\n",{"name":5,"description":7},"main","f4cb2d49f7667e79ef7804f50396d5aaffdf1f56","人工智能与大型语言模型\u002Fagent-relay-digest",1,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification","https:\u002F\u002Fgithub.com\u002FKernel8901","a little little little dobe in life but science geek","2026-04-05 16:43:56",{"source":8,"skillName":5,"commands":57,"prompt":67,"zipAvailable":68},[58,61,64],{"tool":59,"command":60},"npx","npx skills add Kernel8901\u002Fai-agent-skills-classification --skill agent-relay-digest",{"tool":62,"command":63},"bunx","bunx skills add Kernel8901\u002Fai-agent-skills-classification --skill agent-relay-digest",{"tool":65,"command":66},"pnpm","pnpm dlx skills add Kernel8901\u002Fai-agent-skills-classification --skill agent-relay-digest","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fagent-relay-digest\u002FSKILL.md",true,[70,76,80],{"path":71,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":74,"sourceHtmlUrl":75},"_meta.json","REFERENCE","参考文档",291,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fagent-relay-digest\u002F_meta.json",{"path":77,"resourceType":72,"resourceTypeDesc":73,"sizeBytes":78,"sourceHtmlUrl":79},"references\u002Fspec.md",1944,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fagent-relay-digest\u002Freferences\u002Fspec.md",{"path":81,"resourceType":82,"resourceTypeDesc":83,"sizeBytes":84,"sourceHtmlUrl":85},"scripts\u002Frelay_digest.py","SCRIPT","脚本",15451,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fagent-relay-digest\u002Fscripts\u002Frelay_digest.py",[87,110,142,153,163,193],{"skillNo":88,"name":89,"nameZh":6,"description":90,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":91,"categories":92,"keywords":93,"publishedAt":43},"01M6Q5R6WZ06RRB9RQTW54B34B","zyfai","Earn yield on any Ethereum wallet on Base, Arbitrum, and Plasma. Use when a user wants passive DeFi yield on their funds. Deploys a non-custodial subaccount (Safe) linked to their EOA, enables automated yield optimization, and lets them deposit\u002Fwithdraw anytime.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzyfai-sdk\u002FSKILL.md",[],[89,94,95,96,97,98,40,99,100,101,102,103,104,105,106,107,108,109],"safe","ethereum","defi","Optimization","user","Wallet","base","deposit","withdraw","yield","arbitrum","non-custodial","passive","defi yield","earn","yield optimization",{"skillNo":111,"name":112,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":113,"categories":114,"keywords":124,"publishedAt":43},"01M6Q5R337B5JSNER4P4YS03TN","zerion-api","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api\u002FSKILL.md",[115,118,119],{"categoryNo":116,"categoryName":117,"taxonomyType":20,"taxonomyTypeDesc":21},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":120,"categoryName":121,"taxonomyType":122,"taxonomyTypeDesc":123},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[125,126,127,128,129,130,131,96,132,99,133,134,135,136,137,138,139,140,141],"api","zerion api","zerion","MCP","mcp server","server","blockchain","transactions","crypto wallet","crypto","evm","solana","query","across","positions","token","prices",{"skillNo":143,"name":144,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":145,"categories":146,"keywords":150,"publishedAt":43},"01M6Q5QZFYTDAZMZ27BN5VZXAR","zerion-api-skill","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-skill\u002FSKILL.md",[147,148,149],{"categoryNo":116,"categoryName":117,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":120,"categoryName":121,"taxonomyType":122,"taxonomyTypeDesc":123},[125,151,152,126,127,128,129,130,131,96,132,99,134,135,136,137,138,139,140,141],"api skill","zerion api skill",{"skillNo":154,"name":155,"nameZh":6,"description":6,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":156,"categories":157,"keywords":161,"publishedAt":43},"01M6Q5QW17QW98RA3FE45E4RD8","zerion-api-mcp","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-mcp\u002FSKILL.md",[158,159,160],{"categoryNo":116,"categoryName":117,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":18,"categoryName":19,"taxonomyType":20,"taxonomyTypeDesc":21},{"categoryNo":120,"categoryName":121,"taxonomyType":122,"taxonomyTypeDesc":123},[128,125,162,126,127,129,130,96,132,99,133,134,135,136,137,138,139,140,141],"zerion api mcp",{"skillNo":164,"name":165,"nameZh":6,"description":166,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":167,"categories":168,"keywords":172,"publishedAt":43},"01M6Q5QQYZB7A501BDEQWKGSJT","yahoo-finance-forex","Fetches real-time FOREX news and market data from Yahoo Finance for major currency pairs (EUR\u002FUSD, GBP\u002FUSD, USD\u002FJPY, etc.). Analyzes sentiment and provides trading context.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-forex\u002FSKILL.md",[169],{"categoryNo":170,"categoryName":171,"taxonomyType":122,"taxonomyTypeDesc":123},"01JBSEEDCAT000000000000040","财务",[173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192],"finance","yahoo finance","forex","yahoo","yahoo finance forex","github","https","sentiment","real-time","python3","install","Market","usd","news","time","currency","gbp","pip","market data","for",{"skillNo":194,"name":195,"nameZh":6,"description":196,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":197,"categories":198,"keywords":200,"publishedAt":43},"01M6Q5QM6VS84WZVM7BKXXPF32","yahoo-finance","This skill should be used when the user asks to \"get stock prices\", \"check stock quotes\", \"look up earnings\", \"get financial data\", \"find trending stocks\", or needs stock market data from Yahoo Finance.","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fyahoo-finance-cli\u002FSKILL.md",[199],{"categoryNo":170,"categoryName":171,"taxonomyType":122,"taxonomyTypeDesc":123},[173,174,176,201,202,203,204,205,206,184,207,208,209,210,211,212,213,214,141,191],"cli","homebrew","find","check","brew","up","local","get","stock","link","trending","sf","quotes","ln"]