[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill:01M6PDVMGNGZ3J2KR48Z3B07YA":3,"skill-same:01M6PDVMGNGZ3J2KR48Z3B07YA":59},{"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":32,"linkOnly":33,"markdownContent":34,"markdownBody":35,"frontMatter":36,"refName":38,"commitSha":39,"skillDirectory":40,"forksCount":41,"repositoryHtmlUrl":42,"repositoryHomepageUrl":6,"ownerHtmlUrl":43,"ownerBlogUrl":6,"ownerDescription":6,"updatedAt":44,"install":45,"resources":58},"01M6PDVMGNGZ3J2KR48Z3B07YA","drin-prompt-chain-debugger",null,"Investigative workflow for identifying and fixing failures in complex multi-prompt agent chains.","pedrol-cmd\u002Fbrain-drin","pedrol-cmd","https:\u002F\u002Favatars.githubusercontent.com\u002Fu\u002F269090167?v=4","01M6PDG3CXWN1PR3GXREEXK69F","01M6PDG3HHBGEWDJ1STF9Z9ER6",12,"MIT","https:\u002F\u002Fgithub.com\u002Fpedrol-cmd\u002Fbrain-drin\u002Fblob\u002Fmaster\u002F.claude\u002Fskills\u002Fdrin-prompt-chain-debugger\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],"debugger","prompt","chain","drin prompt chain debugger","workflow","Production","prompt agent","multi","for","2026-11-10 10:12:30",false,"---\nname: drin-prompt-chain-debugger\ndescription: Investigative workflow for identifying and fixing failures in complex multi-prompt agent chains.\nstatus: production\n---\n\n# Prompt Chain Debugger\n\n## Purpose\nTo ensure composite AI systems remain reliable and behave according to set specifications.\n\n## Debugging Steps\n1. **Trace**: Map the flow from input through every agent\u002Fprompt node.\n2. **Inspect Output**: Check the raw string output of every node.\n3. **Validate Interface**: Did Node A provide what Node B expected?\n4. **Sensitivity Test**: Does a small change in input drastically break the chain?\n\n## Rules\n- Log the temperature and model used for every step of the chain.\n- If a chain is fragile, break it down into more discrete, verifiable steps.\n---\nsubagents:\n  - prompt-engineer\n  - debugger\n","# Prompt Chain Debugger\n\n## Purpose\nTo ensure composite AI systems remain reliable and behave according to set specifications.\n\n## Debugging Steps\n1. **Trace**: Map the flow from input through every agent\u002Fprompt node.\n2. **Inspect Output**: Check the raw string output of every node.\n3. **Validate Interface**: Did Node A provide what Node B expected?\n4. **Sensitivity Test**: Does a small change in input drastically break the chain?\n\n## Rules\n- Log the temperature and model used for every step of the chain.\n- If a chain is fragile, break it down into more discrete, verifiable steps.\n---\nsubagents:\n  - prompt-engineer\n  - debugger\n",{"name":5,"status":37,"description":7},"production","master","49f9153042a67a088b119042fa3aae8ede872e4d",".claude\u002Fskills\u002Fdrin-prompt-chain-debugger",1,"https:\u002F\u002Fgithub.com\u002Fpedrol-cmd\u002Fbrain-drin","https:\u002F\u002Fgithub.com\u002Fpedrol-cmd","2026-04-11 06:42:15",{"source":8,"skillName":5,"commands":46,"prompt":56,"zipAvailable":57},[47,50,53],{"tool":48,"command":49},"npx","npx skills add pedrol-cmd\u002Fbrain-drin --skill drin-prompt-chain-debugger",{"tool":51,"command":52},"bunx","bunx skills add pedrol-cmd\u002Fbrain-drin --skill drin-prompt-chain-debugger",{"tool":54,"command":55},"pnpm","pnpm dlx skills add pedrol-cmd\u002Fbrain-drin --skill 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