[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6MYKTF0PDQASKEPQDPXN6ZS":3,"skill-same:01M6MYKTF0PDQASKEPQDPXN6ZS":94},{"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":41,"commitSha":42,"skillDirectory":43,"forksCount":44,"repositoryHtmlUrl":45,"repositoryHomepageUrl":6,"ownerHtmlUrl":46,"ownerBlogUrl":6,"ownerDescription":47,"updatedAt":48,"install":49,"resources":61},"01M6MYKTF0PDQASKEPQDPXN6ZS","council",null,"Council Chamber orchestration with Memory Bridge. Single session, multiple personas, structured deliberation.","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\u002Fcouncil\u002FSKILL.md",[],[5,18,19,20,21,22,23,24,25,26,27],"memory","orchestration","bridge","session","personas","structured","deliberation","chamber","with","true","2026-11-10 10:12:30",false,"---\nname: council\ndescription: Council Chamber orchestration with Memory Bridge. Single session, multiple personas, structured deliberation.\nmetadata: {\"clawdbot\":{\"emoji\":\"?️\",\"requires\":{\"bins\":[\"sqlite3\"]},\"features\":{\"memory_bridge\":true,\"chamber_pattern\":true}}}\n---\n\n# Council - Chamber Orchestration Pattern\n\nInstead of spawning separate agent silos, create a **Council Chamber** where multiple expert personas deliberate in a single session with cross-pollination and unified transcript.\n\n## Prerequisites\n\n- SQLite3 (member database)\n- Graphiti service (Memory Bridge)\n- Clawdbot gateway (sessions_spawn)\n\n## Setup\n\nInitialize council database:\n```bash\nbash command:\"{baseDir}\u002Finit-db.sh\"\n```\n\n## ?️ The Chamber Pattern\n\n**Traditional Approach** (Silos):\n- Spawn 3 separate agents\n- Each analyzes independently\n- No cross-pollination\n- Fragmented output\n\n**Chamber Approach** (Meeting Room):\n- Single agent session\n- Moderates multiple personas\n- Structured turn-taking\n- Unified deliberation transcript\n\n## Tools\n\n### council_chamber\nStart a Council Chamber session (recommended).\n\n**Usage:**\n```bash\nbash command:\"\nTOPIC='YOUR_TOPIC'\nMEMBERS='architect,analyst,security'\n\n{baseDir}\u002Freferences\u002Fchamber-orchestrator.sh \\\"\\$TOPIC\\\" \\\"\\$MEMBERS\\\"\n\"\n```\n\n**What it does**:\n1. Fetches Graphiti context (Memory Bridge)\n2. Loads member personas from database\n3. Constructs chamber task with turn structure\n4. Creates session record\n5. Outputs task for sessions_spawn\n\n### council_list_members\nList all registered members.\n\n**Usage:**\n```bash\nbash command:\"sqlite3 -header -column ~\u002F.clawdbot\u002Fcouncil.db 'SELECT id, name, role FROM council_members'\"\n```\n\n### council_add_member\nRegister new member.\n\n**Usage:**\n```bash\nbash command:\"\nsqlite3 ~\u002F.clawdbot\u002Fcouncil.db \\\"\nINSERT INTO council_members (id, name, role, system_message, expertise)\nVALUES ('MEMBER_ID', 'NAME', 'ROLE', 'SYSTEM_MESSAGE', 'EXPERTISE');\n\\\"\"\n```\n\n## Chamber Session Structure\n\n**3-Turn Deliberation**:\n\n1. **Turn 1: Initial Analysis**\n   - Each persona provides their perspective\n   - Distinct voices maintained\n\n2. **Turn 2: Cross-Pollination**\n   - Members critique each other's points\n   - Real-time responses\n   - Healthy debate\n\n3. **Turn 3: Synthesis**\n   - Find common ground\n   - Resolve disagreements\n   - Executive Summary for user\n\n## Default Members\n\n| ID | Name | Role |\n|----|------|------|\n| architect | System Architect | Technical Design |\n| analyst | Technical Analyst | Research & Analysis |\n| security | Security Officer | Risk Assessment |\n| designer | UX Designer | User Experience |\n| strategist | Business Strategist | ROI & Strategy |\n\n## Example\n\n```bash\n# User: \"Start council on Salesforce integration\"\ncouncil_chamber topic:\"Salesforce Integration\" members:\"architect,strategist\"\n\n# Output:\n# ?️ Convening Council Chamber...\n# ? Memory Bridge: [Retrieved 10 facts about Salesforce]\n# ? Loaded 2 personas\n# ✅ Chamber Task ready for sessions_spawn\n```\n\n**Benefits**:\n- ✅ Cross-pollination (members respond to each other)\n- ✅ Single transcript (one .jsonl file)\n- ✅ Shared context (Memory Bridge loaded once)\n- ✅ Structured output (3-turn deliberation)\n","# Council - Chamber Orchestration Pattern\n\nInstead of spawning separate agent silos, create a **Council Chamber** where multiple expert personas deliberate in a single session with cross-pollination and unified transcript.\n\n## Prerequisites\n\n- SQLite3 (member database)\n- Graphiti service (Memory Bridge)\n- Clawdbot gateway (sessions_spawn)\n\n## Setup\n\nInitialize council database:\n```bash\nbash command:\"{baseDir}\u002Finit-db.sh\"\n```\n\n## ?️ The Chamber Pattern\n\n**Traditional Approach** (Silos):\n- Spawn 3 separate agents\n- Each analyzes independently\n- No cross-pollination\n- Fragmented output\n\n**Chamber Approach** (Meeting Room):\n- Single agent session\n- Moderates multiple personas\n- Structured turn-taking\n- Unified deliberation transcript\n\n## Tools\n\n### council_chamber\nStart a Council Chamber session (recommended).\n\n**Usage:**\n```bash\nbash command:\"\nTOPIC='YOUR_TOPIC'\nMEMBERS='architect,analyst,security'\n\n{baseDir}\u002Freferences\u002Fchamber-orchestrator.sh \\\"\\$TOPIC\\\" \\\"\\$MEMBERS\\\"\n\"\n```\n\n**What it does**:\n1. Fetches Graphiti context (Memory Bridge)\n2. Loads member personas from database\n3. Constructs chamber task with turn structure\n4. Creates session record\n5. Outputs task for sessions_spawn\n\n### council_list_members\nList all registered members.\n\n**Usage:**\n```bash\nbash command:\"sqlite3 -header -column ~\u002F.clawdbot\u002Fcouncil.db 'SELECT id, name, role FROM council_members'\"\n```\n\n### council_add_member\nRegister new member.\n\n**Usage:**\n```bash\nbash command:\"\nsqlite3 ~\u002F.clawdbot\u002Fcouncil.db \\\"\nINSERT INTO council_members (id, name, role, system_message, expertise)\nVALUES ('MEMBER_ID', 'NAME', 'ROLE', 'SYSTEM_MESSAGE', 'EXPERTISE');\n\\\"\"\n```\n\n## Chamber Session Structure\n\n**3-Turn Deliberation**:\n\n1. **Turn 1: Initial Analysis**\n   - Each persona provides their perspective\n   - Distinct voices maintained\n\n2. **Turn 2: Cross-Pollination**\n   - Members critique each other's points\n   - Real-time responses\n   - Healthy debate\n\n3. **Turn 3: Synthesis**\n   - Find common ground\n   - Resolve disagreements\n   - Executive Summary for user\n\n## Default Members\n\n| ID | Name | Role |\n|----|------|------|\n| architect | System Architect | Technical Design |\n| analyst | Technical Analyst | Research & Analysis |\n| security | Security Officer | Risk Assessment |\n| designer | UX Designer | User Experience |\n| strategist | Business Strategist | ROI & Strategy |\n\n## Example\n\n```bash\n# User: \"Start council on Salesforce integration\"\ncouncil_chamber topic:\"Salesforce Integration\" members:\"architect,strategist\"\n\n# Output:\n# ?️ Convening Council Chamber...\n# ? Memory Bridge: [Retrieved 10 facts about Salesforce]\n# ? Loaded 2 personas\n# ✅ Chamber Task ready for sessions_spawn\n```\n\n**Benefits**:\n- ✅ Cross-pollination (members respond to each other)\n- ✅ Single transcript (one .jsonl file)\n- ✅ Shared context (Memory Bridge loaded once)\n- ✅ Structured output (3-turn deliberation)\n",{"name":5,"metadata":33,"description":7},{"clawdbot":34},{"emoji":35,"features":36,"requires":38},"?️",{"memory_bridge":37,"chamber_pattern":37},true,{"bins":39},[40],"sqlite3","main","f4cb2d49f7667e79ef7804f50396d5aaffdf1f56","人工智能与大型语言模型\u002Fcouncil",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":50,"prompt":60,"zipAvailable":37},[51,54,57],{"tool":52,"command":53},"npx","npx skills add Kernel8901\u002Fai-agent-skills-classification --skill council",{"tool":55,"command":56},"bunx","bunx skills add Kernel8901\u002Fai-agent-skills-classification --skill council",{"tool":58,"command":59},"pnpm","pnpm dlx skills add Kernel8901\u002Fai-agent-skills-classification --skill council","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\u002Fcouncil\u002FSKILL.md",[62,68,74,78,82,86,90],{"path":63,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":66,"sourceHtmlUrl":67},"_meta.json","REFERENCE","参考文档",268,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fcouncil\u002F_meta.json",{"path":69,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":72,"sourceHtmlUrl":73},"init-db.sh","SCRIPT","脚本",1942,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fcouncil\u002Finit-db.sh",{"path":75,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":76,"sourceHtmlUrl":77},"manifest.json",1097,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fcouncil\u002Fmanifest.json",{"path":79,"resourceType":64,"resourceTypeDesc":65,"sizeBytes":80,"sourceHtmlUrl":81},"README.md",774,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fcouncil\u002FREADME.md",{"path":83,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":84,"sourceHtmlUrl":85},"references\u002Fchamber-orchestrator.sh",1344,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fcouncil\u002Freferences\u002Fchamber-orchestrator.sh",{"path":87,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":88,"sourceHtmlUrl":89},"references\u002Fenv-check.sh",354,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fcouncil\u002Freferences\u002Fenv-check.sh",{"path":91,"resourceType":70,"resourceTypeDesc":71,"sizeBytes":92,"sourceHtmlUrl":93},"references\u002Fgraphiti-bridge.sh",804,"https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F人工智能与大型语言模型\u002Fcouncil\u002Freferences\u002Fgraphiti-bridge.sh",[95,119,155,166,176,206],{"skillNo":96,"name":97,"nameZh":6,"description":98,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":99,"categories":100,"keywords":101,"publishedAt":28},"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",[],[97,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118],"safe","ethereum","defi","Optimization","user","use","Wallet","base","deposit","withdraw","yield","arbitrum","non-custodial","passive","defi yield","earn","yield optimization",{"skillNo":120,"name":121,"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":122,"categories":123,"keywords":137,"publishedAt":28},"01M6Q5R337B5JSNER4P4YS03TN","zerion-api","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api\u002FSKILL.md",[124,129,132],{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":130,"categoryName":131,"taxonomyType":127,"taxonomyTypeDesc":128},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":133,"categoryName":134,"taxonomyType":135,"taxonomyTypeDesc":136},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[138,139,140,141,142,143,144,104,145,108,146,147,148,149,150,151,152,153,154],"api","zerion api","zerion","MCP","mcp server","server","blockchain","transactions","crypto wallet","crypto","evm","solana","query","across","positions","token","prices",{"skillNo":156,"name":157,"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":158,"categories":159,"keywords":163,"publishedAt":28},"01M6Q5QZFYTDAZMZ27BN5VZXAR","zerion-api-skill","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-skill\u002FSKILL.md",[160,161,162],{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},{"categoryNo":130,"categoryName":131,"taxonomyType":127,"taxonomyTypeDesc":128},{"categoryNo":133,"categoryName":134,"taxonomyType":135,"taxonomyTypeDesc":136},[138,164,165,139,140,141,142,143,144,104,145,108,147,148,149,150,151,152,153,154],"api skill","zerion api skill",{"skillNo":167,"name":168,"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":169,"categories":170,"keywords":174,"publishedAt":28},"01M6Q5QW17QW98RA3FE45E4RD8","zerion-api-mcp","https:\u002F\u002Fgithub.com\u002FKernel8901\u002Fai-agent-skills-classification\u002Fblob\u002Fmain\u002F金融\u002Fzerion-api-mcp\u002FSKILL.md",[171,172,173],{"categoryNo":125,"categoryName":126,"taxonomyType":127,"taxonomyTypeDesc":128},{"categoryNo":130,"categoryName":131,"taxonomyType":127,"taxonomyTypeDesc":128},{"categoryNo":133,"categoryName":134,"taxonomyType":135,"taxonomyTypeDesc":136},[141,138,175,139,140,142,143,104,145,108,146,147,148,149,150,151,152,153,154],"zerion api mcp",{"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":185,"publishedAt":28},"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.). 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