[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6JH2QB59DZYVSW984WJ24V3":3,"skill-same:01M6JH2QB59DZYVSW984WJ24V3":67},{"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":23,"publishedAt":39,"linkOnly":40,"markdownContent":41,"markdownBody":42,"frontMatter":43,"refName":45,"commitSha":46,"skillDirectory":47,"forksCount":48,"repositoryHtmlUrl":49,"repositoryHomepageUrl":6,"ownerHtmlUrl":50,"ownerBlogUrl":6,"ownerDescription":51,"updatedAt":52,"install":53,"resources":66},"01M6JH2QB59DZYVSW984WJ24V3","agent-memory-mcp",null,"A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).","transaurus\u002Fstaging-davila7-claude-code-templates","transaurus","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F210882017?v=4","01M6JH1R6ZCRXGJCTDP5ZKZBE6","Page Turner Agent","01M6JH1RBBR2P6Y0XWDGM4B0G7",0,"MIT","https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fai-research\u002Fagent-memory-mcp\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38],"MCP","memory","agent memory","agent memory mcp","ai agents","architecture","knowledge","system","decisions","management","knowledge management","hybrid memory","patterns","memory system","for","2026-11-10 10:12:30",false,"---\nname: agent-memory-mcp\nauthor: Amit Rathiesh\ndescription: A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).\n---\n\n# Agent Memory Skill\n\nThis skill provides a persistent, searchable memory bank that automatically syncs with project documentation. It runs as an MCP server to allow reading\u002Fwriting\u002Fsearching of long-term memories.\n\n## Prerequisites\n\n- Node.js (v18+)\n\n## Setup\n\n1. **Clone the Repository**:\n   Clone the `agentMemory` project into your agent's workspace or a parallel directory:\n\n   ```bash\n   git clone https:\u002F\u002Fgithub.com\u002Fwebzler\u002FagentMemory.git .agent\u002Fskills\u002Fagent-memory\n   ```\n\n2. **Install Dependencies**:\n\n   ```bash\n   cd .agent\u002Fskills\u002Fagent-memory\n   npm install\n   npm run compile\n   ```\n\n3. **Start the MCP Server**:\n   Use the helper script to activate the memory bank for your current project:\n\n   ```bash\n   npm run start-server \u003Cproject_id> \u003Cabsolute_path_to_target_workspace>\n   ```\n\n   _Example for current directory:_\n\n   ```bash\n   npm run start-server my-project $(pwd)\n   ```\n\n## Capabilities (MCP Tools)\n\n### `memory_search`\n\nSearch for memories by query, type, or tags.\n\n- **Args**: `query` (string), `type?` (string), `tags?` (string[])\n- **Usage**: \"Find all authentication patterns\" -> `memory_search({ query: \"authentication\", type: \"pattern\" })`\n\n### `memory_write`\n\nRecord new knowledge or decisions.\n\n- **Args**: `key` (string), `type` (string), `content` (string), `tags?` (string[])\n- **Usage**: \"Save this architecture decision\" -> `memory_write({ key: \"auth-v1\", type: \"decision\", content: \"...\" })`\n\n### `memory_read`\n\nRetrieve specific memory content by key.\n\n- **Args**: `key` (string)\n- **Usage**: \"Get the auth design\" -> `memory_read({ key: \"auth-v1\" })`\n\n### `memory_stats`\n\nView analytics on memory usage.\n\n- **Usage**: \"Show memory statistics\" -> `memory_stats({})`\n\n## Dashboard\n\nThis skill includes a standalone dashboard to visualize memory usage.\n\n```bash\nnpm run start-dashboard \u003Cabsolute_path_to_target_workspace>\n```\n\nAccess at: `http:\u002F\u002Flocalhost:3333`\n","# Agent Memory Skill\n\nThis skill provides a persistent, searchable memory bank that automatically syncs with project documentation. It runs as an MCP server to allow reading\u002Fwriting\u002Fsearching of long-term memories.\n\n## Prerequisites\n\n- Node.js (v18+)\n\n## Setup\n\n1. **Clone the Repository**:\n   Clone the `agentMemory` project into your agent's workspace or a parallel directory:\n\n   ```bash\n   git clone https:\u002F\u002Fgithub.com\u002Fwebzler\u002FagentMemory.git .agent\u002Fskills\u002Fagent-memory\n   ```\n\n2. **Install Dependencies**:\n\n   ```bash\n   cd .agent\u002Fskills\u002Fagent-memory\n   npm install\n   npm run compile\n   ```\n\n3. **Start the MCP Server**:\n   Use the helper script to activate the memory bank for your current project:\n\n   ```bash\n   npm run start-server \u003Cproject_id> \u003Cabsolute_path_to_target_workspace>\n   ```\n\n   _Example for current directory:_\n\n   ```bash\n   npm run start-server my-project $(pwd)\n   ```\n\n## Capabilities (MCP Tools)\n\n### `memory_search`\n\nSearch for memories by query, type, or tags.\n\n- **Args**: `query` (string), `type?` (string), `tags?` (string[])\n- **Usage**: \"Find all authentication patterns\" -> `memory_search({ query: \"authentication\", type: \"pattern\" })`\n\n### `memory_write`\n\nRecord new knowledge or decisions.\n\n- **Args**: `key` (string), `type` (string), `content` (string), `tags?` (string[])\n- **Usage**: \"Save this architecture decision\" -> `memory_write({ key: \"auth-v1\", type: \"decision\", content: \"...\" })`\n\n### `memory_read`\n\nRetrieve specific memory content by key.\n\n- **Args**: `key` (string)\n- **Usage**: \"Get the auth design\" -> `memory_read({ key: \"auth-v1\" })`\n\n### `memory_stats`\n\nView analytics on memory usage.\n\n- **Usage**: \"Show memory statistics\" -> `memory_stats({})`\n\n## Dashboard\n\nThis skill includes a standalone dashboard to visualize memory usage.\n\n```bash\nnpm run start-dashboard \u003Cabsolute_path_to_target_workspace>\n```\n\nAccess at: `http:\u002F\u002Flocalhost:3333`\n",{"name":5,"author":44,"description":7},"Amit Rathiesh","main","34fa6acf794b9a6310d298cbb8fb8c9420a5edcf","cli-tool\u002Fcomponents\u002Fskills\u002Fai-research\u002Fagent-memory-mcp",2,"https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates","https:\u002F\u002Fgithub.com\u002Ftransaurus","Automated works of Page Turner","2026-03-28 10:12:59",{"source":8,"skillName":5,"commands":54,"prompt":64,"zipAvailable":65},[55,58,61],{"tool":56,"command":57},"npx","npx skills add transaurus\u002Fstaging-davila7-claude-code-templates --skill agent-memory-mcp",{"tool":59,"command":60},"bunx","bunx skills add transaurus\u002Fstaging-davila7-claude-code-templates --skill agent-memory-mcp",{"tool":62,"command":63},"pnpm","pnpm dlx skills add transaurus\u002Fstaging-davila7-claude-code-templates --skill agent-memory-mcp","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fai-research\u002Fagent-memory-mcp\u002FSKILL.md",true,[],[68,94,115,138,158,183],{"skillNo":69,"name":70,"nameZh":6,"description":71,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":72,"categories":73,"keywords":75,"publishedAt":39},"01M6JMRJR3BE0HGWFWDZSB853S","zapier-make-patterns","No-code automation democratizes workflow building. Zapier and Make (formerly Integromat) let non-developers automate business processes without writing code. But no-code doesn't mean no-complexity - these platforms have their own patterns, pitfalls, and breaking points.  This skill covers when to use which platform, how to build reliable automations, and when to graduate to code-based solutions. Key insight: Zapier optimizes for simplicity and integrations (7000+ apps), Make optimizes for power","https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fzapier-make-patterns\u002FSKILL.md",[74],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[76,36,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,38,93],"zapier make patterns","make","zapier","writing","workflow","automation","code","integrations","business","use","power","complexity","platform","apps","how to","No-Code","which","spawner",{"skillNo":95,"name":96,"nameZh":6,"description":97,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":98,"categories":99,"keywords":100,"publishedAt":39},"01M6JMR8YK6SWPCTG1MCQTMN9S","yeet","Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).","https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fyeet\u002FSKILL.md",[],[96,101,102,103,104,105,106,107,108,109,110,111,85,112,113,114],"cli","github","commit","pull request","openai","pull","push","flow","open","gh","user","only","stage","github cli",{"skillNo":116,"name":117,"nameZh":6,"description":118,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":119,"categories":120,"keywords":122,"publishedAt":39},"01M6JMQNFE64ZASQK90HARRXW8","workflow-automation","Workflow automation is the infrastructure that makes AI agents reliable. Without durable execution, a network hiccup during a 10-step payment flow means lost money and angry customers. With it, workflows resume exactly where they left off.  This skill covers the platforms (n8n, Temporal, Inngest) and patterns (sequential, parallel, orchestrator-worker) that turn brittle scripts into production-grade automation.  Key insight: The platforms make different tradeoffs. n8n optimizes for accessibility","https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fworkflow-automation\u002FSKILL.md",[121],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[80,81,123,28,124,125,126,127,128,129,130,131,132,133,134,135,136,137,38,93],"Workflow Automation","accessibility","workflows","apache","execution","inngest","parallel","orchestrator","resume","n8n","payment","worker","scripts","temporal","with",{"skillNo":139,"name":140,"nameZh":6,"description":141,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":142,"categories":143,"keywords":144,"publishedAt":39},"01M6JMQDYJ0XETERPHGDR3EVGN","trigger-dev","Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task.","https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Ftrigger-dev\u002FSKILL.md",[],[145,146,147,148,149,125,150,126,127,151,85,152,153,154,155,156,157,137,38,93],"dev","trigger dev","trigger","design","typescript","async execution","first","async","developer experience","expert","task","background jobs","long",{"skillNo":159,"name":160,"nameZh":6,"description":161,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":162,"categories":163,"keywords":167,"publishedAt":39},"01M6JMQ5J6KK3GSX9FJCWWK6G6","planning-with-files","Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Use when starting complex tasks, multi-step projects, research tasks, or when the user mentions planning, organizing work, tracking progress, or wants structured output.","https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fplanning-with-files\u002FSKILL.md",[164],{"categoryNo":165,"categoryName":166,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",[168,169,170,137,171,80,172,173,174,30,175,176,85,177,178,179,180,181,182,38],"planning with files","planning","files","with files","storage","tasks","markdown","projects","work","manus","structured output","progress","transforms","multi","output",{"skillNo":184,"name":185,"nameZh":6,"description":186,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":187,"categories":188,"keywords":193,"publishedAt":39},"01M6JMPWAT60RXXNEC4V9TRBRS","n8n-workflow-patterns","Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, or scheduled tasks.","https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fn8n\u002Fn8n-workflow-patterns\u002FSKILL.md",[189,192],{"categoryNo":190,"categoryName":191,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[80,194,132,195,36,196,197,125,29,173,169,198,199,200,201,202,203,204,205,206],"n8n workflow patterns","workflow patterns","n8n workflow","ai agent","database","api","planning workflow","structure","database operations","webhook","processing","http api","scheduled"]