[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6JMQNFE64ZASQK90HARRXW8":3,"skill-same:01M6JMQNFE64ZASQK90HARRXW8":72},{"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":44,"linkOnly":45,"markdownContent":46,"markdownBody":47,"frontMatter":48,"refName":50,"commitSha":51,"skillDirectory":52,"forksCount":53,"repositoryHtmlUrl":54,"repositoryHomepageUrl":6,"ownerHtmlUrl":55,"ownerBlogUrl":6,"ownerDescription":56,"updatedAt":57,"install":58,"resources":71},"01M6JMQNFE64ZASQK90HARRXW8","workflow-automation",null,"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","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\u002Fworkflow-automation\u002Fworkflow-automation\u002FSKILL.md",[18],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000023","Skill与智能体开发","SCENARIO","使用场景",[24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43],"workflow","automation","Workflow Automation","spawner","ai agents","for","with","temporal","scripts","worker","payment","n8n","resume","orchestrator","parallel","inngest","execution","apache","workflows","accessibility","2026-11-10 10:12:30",false,"---\nname: workflow-automation\ndescription: \"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\"\nsource: vibeship-spawner-skills (Apache 2.0)\n---\n\n# Workflow Automation\n\nYou are a workflow automation architect who has seen both the promise and\nthe pain of these platforms. You've migrated teams from brittle cron jobs\nto durable execution and watched their on-call burden drop by 80%.\n\nYour core insight: Different platforms make different tradeoffs. n8n is\naccessible but sacrifices performance. Temporal is correct but complex.\nInngest balances developer experience with reliability. There's no \"best\" -\nonly \"best for your situation.\"\n\nYou push for durable execution \n\n## Capabilities\n\n- workflow-automation\n- workflow-orchestration\n- durable-execution\n- event-driven-workflows\n- step-functions\n- job-queues\n- background-jobs\n- scheduled-tasks\n\n## Patterns\n\n### Sequential Workflow Pattern\n\nSteps execute in order, each output becomes next input\n\n### Parallel Workflow Pattern\n\nIndependent steps run simultaneously, aggregate results\n\n### Orchestrator-Worker Pattern\n\nCentral coordinator dispatches work to specialized workers\n\n## Anti-Patterns\n\n### ❌ No Durable Execution for Payments\n\n### ❌ Monolithic Workflows\n\n### ❌ No Observability\n\n## ⚠️ Sharp Edges\n\n| Issue | Severity | Solution |\n|-------|----------|----------|\n| Issue | critical | # ALWAYS use idempotency keys for external calls: |\n| Issue | high | # Break long workflows into checkpointed steps: |\n| Issue | high | # ALWAYS set timeouts on activities: |\n| Issue | critical | # WRONG - side effects in workflow code: |\n| Issue | medium | # ALWAYS use exponential backoff: |\n| Issue | high | # WRONG - large data in workflow: |\n| Issue | high | # Inngest onFailure handler: |\n| Issue | medium | # Every production n8n workflow needs: |\n\n## Related Skills\n\nWorks well with: `multi-agent-orchestration`, `agent-tool-builder`, `backend`, `devops`\n","# Workflow Automation\n\nYou are a workflow automation architect who has seen both the promise and\nthe pain of these platforms. You've migrated teams from brittle cron jobs\nto durable execution and watched their on-call burden drop by 80%.\n\nYour core insight: Different platforms make different tradeoffs. n8n is\naccessible but sacrifices performance. Temporal is correct but complex.\nInngest balances developer experience with reliability. There's no \"best\" -\nonly \"best for your situation.\"\n\nYou push for durable execution \n\n## Capabilities\n\n- workflow-automation\n- workflow-orchestration\n- durable-execution\n- event-driven-workflows\n- step-functions\n- job-queues\n- background-jobs\n- scheduled-tasks\n\n## Patterns\n\n### Sequential Workflow Pattern\n\nSteps execute in order, each output becomes next input\n\n### Parallel Workflow Pattern\n\nIndependent steps run simultaneously, aggregate results\n\n### Orchestrator-Worker Pattern\n\nCentral coordinator dispatches work to specialized workers\n\n## Anti-Patterns\n\n### ❌ No Durable Execution for Payments\n\n### ❌ Monolithic Workflows\n\n### ❌ No Observability\n\n## ⚠️ Sharp Edges\n\n| Issue | Severity | Solution |\n|-------|----------|----------|\n| Issue | critical | # ALWAYS use idempotency keys for external calls: |\n| Issue | high | # Break long workflows into checkpointed steps: |\n| Issue | high | # ALWAYS set timeouts on activities: |\n| Issue | critical | # WRONG - side effects in workflow code: |\n| Issue | medium | # ALWAYS use exponential backoff: |\n| Issue | high | # WRONG - large data in workflow: |\n| Issue | high | # Inngest onFailure handler: |\n| Issue | medium | # Every production n8n workflow needs: |\n\n## Related Skills\n\nWorks well with: `multi-agent-orchestration`, `agent-tool-builder`, `backend`, `devops`\n",{"name":5,"source":49,"description":7},"vibeship-spawner-skills (Apache 2.0)","main","34fa6acf794b9a6310d298cbb8fb8c9420a5edcf","cli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fworkflow-automation",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":59,"prompt":69,"zipAvailable":70},[60,63,66],{"tool":61,"command":62},"npx","npx skills add transaurus\u002Fstaging-davila7-claude-code-templates --skill workflow-automation",{"tool":64,"command":65},"bunx","bunx skills add transaurus\u002Fstaging-davila7-claude-code-templates --skill workflow-automation",{"tool":67,"command":68},"pnpm","pnpm dlx skills add transaurus\u002Fstaging-davila7-claude-code-templates --skill workflow-automation","安装技能，技能地址：https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fworkflow-automation\u002FSKILL.md",true,[],[73,97,118,138,164,189],{"skillNo":74,"name":75,"nameZh":6,"description":76,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":77,"categories":78,"keywords":80,"publishedAt":44},"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",[79],{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[81,82,83,84,85,24,25,86,87,88,89,90,91,92,93,94,95,96,29,27],"zapier make patterns","patterns","make","zapier","writing","code","integrations","business","use","power","complexity","platform","apps","how to","No-Code","which",{"skillNo":98,"name":99,"nameZh":6,"description":100,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":101,"categories":102,"keywords":103,"publishedAt":44},"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",[],[99,104,105,106,107,108,109,110,111,112,113,114,89,115,116,117],"cli","github","commit","pull request","openai","pull","push","flow","open","gh","user","only","stage","github cli",{"skillNo":119,"name":120,"nameZh":6,"description":121,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":122,"categories":123,"keywords":124,"publishedAt":44},"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",[],[125,126,127,128,129,42,130,41,40,131,89,132,133,134,135,136,137,30,29,27],"dev","trigger dev","trigger","design","typescript","async execution","first","async","developer experience","expert","task","background jobs","long",{"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":147,"publishedAt":44},"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",[144],{"categoryNo":145,"categoryName":146,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000021","资料检索与研究",[148,149,150,30,151,24,152,153,154,155,156,157,89,158,159,160,161,162,163,29],"planning with files","planning","files","with files","storage","tasks","markdown","knowledge","projects","work","manus","structured output","progress","transforms","multi","output",{"skillNo":165,"name":166,"nameZh":6,"description":167,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":168,"categories":169,"keywords":174,"publishedAt":44},"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",[170,173],{"categoryNo":171,"categoryName":172,"taxonomyType":21,"taxonomyTypeDesc":22},"01JBSEEDCAT000000000000010","后端与接口",{"categoryNo":19,"categoryName":20,"taxonomyType":21,"taxonomyTypeDesc":22},[24,175,35,176,82,177,178,42,179,153,149,180,181,182,183,184,185,186,187,188],"n8n workflow patterns","workflow patterns","n8n workflow","ai agent","architecture","database","api","planning workflow","structure","database operations","webhook","processing","http api","scheduled",{"skillNo":190,"name":191,"nameZh":6,"description":192,"descriptionZh":6,"repositoryFullName":8,"ownerLogin":9,"ownerAvatarUrl":10,"ownerAccountNo":11,"ownerDisplayName":12,"repositoryNo":13,"starsCount":14,"licenseSpdxId":15,"licenseFileUrl":6,"sourceHtmlUrl":193,"categories":194,"keywords":195,"publishedAt":44},"01M6JMPBVSVH3W06R34HE3E6AK","n8n-validation-expert","Interpret validation errors and guide fixing them. Use when encountering validation errors, validation warnings, false positives, operator structure issues, or need help understanding validation results. Also use when asking about validation profiles, error types, or the validation loop process.","https:\u002F\u002Fgithub.com\u002Ftransaurus\u002Fstaging-davila7-claude-code-templates\u002Fblob\u002Fmain\u002Fcli-tool\u002Fcomponents\u002Fskills\u002Fworkflow-automation\u002Fn8n\u002Fn8n-validation-expert\u002FSKILL.md",[],[196,197,134,35,198,199,200,201,202,203,204,89,183,205,206,207,208,209,210],"validation","n8n validation expert","help","issues","operator","loop","results","process","guide","false","error","types","about","profiles","errors"]