ReddRadar
Topic: prompt-engineering
2,538 skills in this topic.
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pattern-selector
Recommends the right LLM pipeline pattern for a use case — simple chain, embedded agent, state machine, RAG, eval loop, or dynamic prompt
jmagly/aiwg 107
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ralph-attach
Attach to a running agent loop's live output stream
jmagly/aiwg 107
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pipeline-design
Interactive LLM inference pipeline design — elicits requirements, recommends pattern, scaffolds production-ready artifacts
jmagly/aiwg 107
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flow-change-control
jmagly/aiwg 107
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flow-architecture-evolution
jmagly/aiwg 107
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doc-sync
Synchronize documentation and code to eliminate drift with parallel audit, auto-fix, and Al refinement
jmagly/aiwg 107
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doc-consolidate
Crawl repository for scattered docs and consolidate into categorized reference index in .aiwg/docs/
jmagly/aiwg 107
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decompose-file
jmagly/aiwg 107
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decision-support
jmagly/aiwg 107
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create-prd
jmagly/aiwg 107
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corpus-health
Report on research corpus health, completeness, and integrity
jmagly/aiwg 107
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contract-validate
jmagly/aiwg 107
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contract-manifest
jmagly/aiwg 107
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complexity-gate
jmagly/aiwg 107
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codebase-health
jmagly/aiwg 107
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code-chunker
jmagly/aiwg 107
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cleanup-audit
jmagly/aiwg 107
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citation-guard
jmagly/aiwg 107
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citation-check
Check a file for citation quality and GRADE compliance
jmagly/aiwg 107
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check-traceability
jmagly/aiwg 107
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validate-metadata
jmagly/aiwg 107
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version
jmagly/aiwg 107
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flow-discovery-track
Orchestrate Discovery Track flow to prepare validated requirements and designs one iteration ahead of delivery
jmagly/aiwg 107
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flow-deploy-to-production
jmagly/aiwg 107