[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6H7PFP53S95FEYR698JWT5Q":3,"skill-same:01M6H7PFP53S95FEYR698JWT5Q":75},{"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":38,"linkOnly":39,"markdownContent":40,"markdownBody":41,"frontMatter":42,"refName":48,"commitSha":49,"skillDirectory":50,"forksCount":51,"repositoryHtmlUrl":52,"repositoryHomepageUrl":6,"ownerHtmlUrl":53,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":54,"install":55,"resources":68},"01M6H7PFP53S95FEYR698JWT5Q","lindy-reference-architecture",null,"Reference architectures for Lindy AI integrations.\nUse when designing systems, planning architecture,\nor implementing production patterns.\nTrigger with phrases like \"lindy architecture\", \"lindy design\",\n\"lindy system design\", \"lindy patterns\".","micsapp\u002Fmicstec-skills","micsapp","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F82411001?v=4","01M6GWCFQ6D3PV8EHNY62NN5VW","01M6GWCFVE1PA5HG0DKC7AMFJ3",4,"MIT","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Flindy-pack\u002Fskills\u002Flindy-reference-architecture\u002FSKILL.md",[],[18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37],"architecture","lindy reference architecture","reference","use","for","implementing","architectures","trigger","io","patterns","system design","design","edit","write","read","integrations","system","planning","code","openclaw","2026-11-10 10:12:30",false,"---\nname: lindy-reference-architecture\ndescription: |\n  Reference architectures for Lindy AI integrations.\n  Use when designing systems, planning architecture,\n  or implementing production patterns.\n  Trigger with phrases like \"lindy architecture\", \"lindy design\",\n  \"lindy system design\", \"lindy patterns\".\nallowed-tools: Read, Write, Edit\nversion: 1.0.0\nlicense: MIT\nauthor: Jeremy Longshore \u003Cjeremy@intentsolutions.io>\ncompatible-with: claude-code, codex, openclaw\n---\n# Lindy Reference Architecture\n\n## Overview\nProduction-ready reference architectures for Lindy AI integrations covering basic integration, event-driven, multi-agent orchestration, and high-availability patterns.\n\n## Prerequisites\n- Understanding of system design principles\n- Familiarity with cloud services\n- Production requirements defined\n\n## Instructions\n\n### Step 1: Choose Architecture Pattern\nSelect based on requirements: Basic (simple request\u002Fresponse), Event-driven (async with queues), Multi-agent (orchestrated pipelines), or HA (failover and caching).\n\n### Step 2: Implement Basic Integration\nSet up Express backend with Lindy SDK for simple synchronous agent interactions.\n\n### Step 3: Add Event-Driven Processing (if needed)\nUse BullMQ workers to process agent tasks asynchronously from a queue, emitting results on completion.\n\n### Step 4: Set Up Multi-Agent Orchestration (if needed)\nBuild an orchestrator that plans work, delegates to specialized agents (research, analysis, writing), and synthesizes results.\n\n### Step 5: Configure High Availability (if needed)\nCreate an HA client with primary\u002Ffallback Lindy instances and Redis caching for automatic failover.\n\nFor detailed implementation code and architecture diagrams, load the reference guide:\n`Read(${CLAUDE_SKILL_DIR}\u002Freferences\u002Fimplementation-guide.md)`\n\n## Output\n- Architecture pattern selection guide\n- Basic integration implementation\n- Event-driven worker setup\n- Multi-agent orchestration\n- HA client with failover\n\n## Error Handling\n| Pattern | Failure Mode | Recovery |\n|---------|--------------|----------|\n| Basic | API error | Retry with backoff |\n| Event-driven | Worker crash | Queue retry |\n| Multi-agent | Step failure | Skip or fallback |\n| HA | Primary down | Automatic failover |\n\n## Resources\n- [Lindy Architecture Guide](https:\u002F\u002Fdocs.lindy.ai\u002Farchitecture)\n- [Best Practices](https:\u002F\u002Fdocs.lindy.ai\u002Fbest-practices)\n- [Case Studies](https:\u002F\u002Flindy.ai\u002Fcase-studies)\n\n## Next Steps\nProceed to Flagship tier skills for enterprise features.\n\n## Examples\n\n**Basic usage**: Apply lindy reference architecture to a standard project setup with default configuration options.\n\n**Advanced scenario**: Customize lindy reference architecture for production environments with multiple constraints and team-specific requirements.","# Lindy Reference Architecture\n\n## Overview\nProduction-ready reference architectures for Lindy AI integrations covering basic integration, event-driven, multi-agent orchestration, and high-availability patterns.\n\n## Prerequisites\n- Understanding of system design principles\n- Familiarity with cloud services\n- Production requirements defined\n\n## Instructions\n\n### Step 1: Choose Architecture Pattern\nSelect based on requirements: Basic (simple request\u002Fresponse), Event-driven (async with queues), Multi-agent (orchestrated pipelines), or HA (failover and caching).\n\n### Step 2: Implement Basic Integration\nSet up Express backend with Lindy SDK for simple synchronous agent interactions.\n\n### Step 3: Add Event-Driven Processing (if needed)\nUse BullMQ workers to process agent tasks asynchronously from a queue, emitting results on completion.\n\n### Step 4: Set Up Multi-Agent Orchestration (if needed)\nBuild an orchestrator that plans work, delegates to specialized agents (research, analysis, writing), and synthesizes results.\n\n### Step 5: Configure High Availability (if needed)\nCreate an HA client with primary\u002Ffallback Lindy instances and Redis caching for automatic failover.\n\nFor detailed implementation code and architecture diagrams, load the reference guide:\n`Read(${CLAUDE_SKILL_DIR}\u002Freferences\u002Fimplementation-guide.md)`\n\n## Output\n- Architecture pattern selection guide\n- Basic integration implementation\n- Event-driven worker setup\n- Multi-agent orchestration\n- HA client with failover\n\n## Error Handling\n| Pattern | Failure Mode | Recovery |\n|---------|--------------|----------|\n| Basic | API error | Retry with backoff |\n| Event-driven | Worker crash | Queue retry |\n| Multi-agent | Step failure | Skip or fallback |\n| HA | Primary down | Automatic failover |\n\n## Resources\n- [Lindy Architecture Guide](https:\u002F\u002Fdocs.lindy.ai\u002Farchitecture)\n- [Best Practices](https:\u002F\u002Fdocs.lindy.ai\u002Fbest-practices)\n- [Case Studies](https:\u002F\u002Flindy.ai\u002Fcase-studies)\n\n## Next Steps\nProceed to Flagship tier skills for enterprise features.\n\n## Examples\n\n**Basic usage**: Apply lindy reference architecture to a standard project setup with default configuration options.\n\n**Advanced scenario**: Customize lindy reference architecture for production environments with multiple constraints and team-specific requirements.",{"name":5,"author":43,"license":14,"version":44,"description":45,"allowed-tools":46,"compatible-with":47},"Jeremy Longshore \u003Cjeremy@intentsolutions.io>","1.0.0","Reference architectures for Lindy AI integrations.\nUse when designing systems, planning architecture,\nor implementing production patterns.\nTrigger with phrases like \"lindy architecture\", \"lindy design\",\n\"lindy system design\", \"lindy patterns\".\n","Read, Write, Edit","claude-code, codex, openclaw","master","3f5d983eb4ef375b749adcd6b07ec03bd82ae8a8","claude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Flindy-pack\u002Fskills\u002Flindy-reference-architecture",0,"https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills","https:\u002F\u002Fgithub.com\u002Fmicsapp","2026-03-20 11:24:18",{"source":8,"skillName":5,"commands":56,"prompt":66,"zipAvailable":67},[57,60,63],{"tool":58,"command":59},"npx","npx skills add micsapp\u002Fmicstec-skills --skill lindy-reference-architecture",{"tool":61,"command":62},"bunx","bunx skills add micsapp\u002Fmicstec-skills --skill lindy-reference-architecture",{"tool":64,"command":65},"pnpm","pnpm dlx skills add micsapp\u002Fmicstec-skills --skill lindy-reference-architecture","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Flindy-pack\u002Fskills\u002Flindy-reference-architecture\u002FSKILL.md",true,[69],{"path":70,"resourceType":71,"resourceTypeDesc":72,"sizeBytes":73,"sourceHtmlUrl":74},"references\u002Fimplementation-guide.md","REFERENCE","参考文档",6921,"https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fclaude-code\u002Fplugins-plus-skills\u002Fplugins\u002Fsaas-packs\u002Flindy-pack\u002Fskills\u002Flindy-reference-architecture\u002Freferences\u002Fimplementation-guide.md",[76,111,139,159,179,203],{"skillNo":77,"name":78,"nameZh":6,"description":79,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":80,"categories":81,"keywords":92,"publishedAt":38},"01M6HBTJ02FXBFG9NYEHHYAP52","azure-apim-architecture","Analyzes and explains Azure API Management architecture decisions for enterprise API marketplace implementations using VNet Internal mode, Front Door, hybrid authentication, and multi-environment strategies. Use when discussing APIM component selection, network topology, cost optimization, or comparing alternatives like workspaces vs instances, VNet Internal vs External mode, or Front Door vs Application Gateway.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fcopilot-agent-skills\u002F.github\u002Fskills\u002Fazure-apim-architecture\u002FSKILL.md",[82,87],{"categoryNo":83,"categoryName":84,"taxonomyType":85,"taxonomyTypeDesc":86},"01JBSEEDCAT000000000000010","后端与接口","SCENARIO","使用场景",{"categoryNo":88,"categoryName":89,"taxonomyType":90,"taxonomyTypeDesc":91},"01JBSEEDCAT000000000000030","开发工程师","PROFESSION","适用职业",[18,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,22],"azure","azure apim architecture","component","authentication","gateway","topology","Optimization","network","api","team","environment","multi-environment","workspaces","instances","selection","strategies","azure api management","mode",{"skillNo":112,"name":113,"nameZh":6,"description":114,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":115,"categories":116,"keywords":125,"publishedAt":38},"01M6HBT7J4H082JEEA670B3EQ9","apiops-deployment","Guides deployment of Azure API Management infrastructure using Infrastructure as Code (Bicep\u002FTerraform), CI\u002FCD pipelines (GitHub Actions\u002FAzure DevOps), and APIOps workflows. Use when deploying APIM, creating pipelines, or implementing dev→test→prod promotion strategies.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fcopilot-agent-skills\u002F.github\u002Fskills\u002Fapiops-deployment\u002FSKILL.md",[117,118,121,124],{"categoryNo":83,"categoryName":84,"taxonomyType":85,"taxonomyTypeDesc":86},{"categoryNo":119,"categoryName":120,"taxonomyType":85,"taxonomyTypeDesc":86},"01JBSEEDCAT000000000000011","运维与部署",{"categoryNo":122,"categoryName":123,"taxonomyType":85,"taxonomyTypeDesc":86},"01JBSEEDCAT000000000000023","Skill与智能体开发",{"categoryNo":88,"categoryName":89,"taxonomyType":90,"taxonomyTypeDesc":91},[126,127,128,129,93,130,36,131,132,133,134,135,101,102,108,136,137,109,138,23],"deployment","apiops deployment","workflows","azure devops","infrastructure","infrastructure as code","actions","ci","github actions","github-actions","as","guides","CI\u002FCD",{"skillNo":140,"name":141,"nameZh":6,"description":142,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":143,"categories":144,"keywords":146,"publishedAt":38},"01M6HBT2HEA23THNE9E00GYQBE","apim-policy-authoring","Creates production-ready Azure API Management policy XML for authentication (OAuth 2.0, JWT validation, subscription keys), rate limiting, CORS configuration, error handling, and API transformations. Use when implementing API security, access control, or request\u002Fresponse processing logic.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fcopilot-agent-skills\u002F.github\u002Fskills\u002Fapim-policy-authoring\u002FSKILL.md",[145],{"categoryNo":83,"categoryName":84,"taxonomyType":85,"taxonomyTypeDesc":86},[147,148,149,150,93,96,101,102,151,21,152,153,154,155,156,109,157,158,23,22],"policy","authoring","apim policy authoring","security","access","ready","api security","Access Control","error","processing","cors configuration","production-ready",{"skillNo":160,"name":161,"nameZh":6,"description":162,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":163,"categories":164,"keywords":167,"publishedAt":38},"01M6HBSY65SB29J9WE9KYD0K6T","api-security-review","Reviews Azure API Management configurations for security vulnerabilities, OWASP API Security Top 10 compliance, VNet Internal mode validation, Private Link verification, and Azure Security Benchmark alignment. Use when performing security audits, pre-deployment validation, or compliance reviews.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fcopilot-agent-skills\u002F.github\u002Fskills\u002Fapi-security-review\u002FSKILL.md",[165,166],{"categoryNo":83,"categoryName":84,"taxonomyType":85,"taxonomyTypeDesc":86},{"categoryNo":88,"categoryName":89,"taxonomyType":90,"taxonomyTypeDesc":91},[168,150,169,101,153,170,93,126,171,172,173,174,102,175,109,176,177,178,110,22],"review","security review","api security review","benchmark","verification","owasp","owasp-api","alignment","azure security","reviews","top",{"skillNo":180,"name":181,"nameZh":6,"description":182,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":183,"categories":184,"keywords":185,"publishedAt":38},"01M6HBSRW4PDFE6K4F8JYPZQ05","jira-cli","Interact with Jira from the command line to create, list, view, edit, and transition issues, manage sprints and epics, and perform common Jira workflows. Use when the user asks about Jira tasks, tickets, issues, sprints, or needs to manage project work items.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fawesome-copilot-agents\u002Fskills\u002Fjira-cli\u002FSKILL.md",[],[186,187,188,128,189,190,191,192,101,193,194,195,30,196,197,198,199,200,201,202],"cli","jira","jira cli","init","tasks","create","issues","common","work","command","list","view","project","project work","token","line","sprints",{"skillNo":204,"name":205,"nameZh":6,"description":206,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":6,"repositoryNo":12,"starsCount":13,"licenseSpdxId":14,"licenseFileUrl":6,"sourceHtmlUrl":207,"categories":208,"keywords":209,"publishedAt":38},"01M6HBSNS3JHMW603G47TWE31H","calculator","Performs arbitrary-precision arithmetic calculations including addition, subtraction, multiplication, division, and exponents. Use when the user asks to calculate, compute, or evaluate math expressions, or when precise decimal arithmetic is needed to avoid floating-point errors.","https:\u002F\u002Fgithub.com\u002Fmicsapp\u002Fmicstec-skills\u002Fblob\u002Fmaster\u002Fcopilot-cli\u002Fawesome-copilot-agents\u002Fskills\u002Fcalculator\u002FSKILL.md",[],[205,210,211,212,213,214,215,21,216,217],"npm","js","calculate","node","math","user","compute","errors"]