Topic: prompt-engineering
2,538 skills in this topic.
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cross-task-learner
Enable agent loops to learn from similar past tasks and share patterns across loops
jmagly/aiwg 107
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flow-construction-to-transition
jmagly/aiwg 107
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flow-deploy-to-production
jmagly/aiwg 107
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test-coverage
jmagly/aiwg 107
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flow-incident-response
Orchestrate production incident triage, escalation, resolution, and post-incident review using ITIL best practices
jmagly/aiwg 107
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codebase-health
jmagly/aiwg 107
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migrate-hook
Migrate existing CLAUDE.md full-injection to the AIWG.md hook file architecture
jmagly/aiwg 107
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runtime-info
jmagly/aiwg 107
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validate-metadata
jmagly/aiwg 107
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prose-detect
Locate an existing OpenProse installation using a prioritized signal chain — env var, AIWG config, AIWG-local install, project plugin manifest, user home directory, or global CLI. Returns the resolved PROSE_ROOT path. Does not install OpenProse; triggers prose-setup if no installation is found.
jmagly/aiwg 107
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prose-install
Install OpenProse for AIWG use when no existing installation is found. Tries npx skills add first, falls back to git clone, then saves the resolved path to .aiwg/config.json.
jmagly/aiwg 107
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skill-packager
Package skills into uploadable ZIP files for Claude. Use after skill-builder/skill-enhancer to create final upload package.
jmagly/aiwg 107
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flaky-detect
Identify flaky tests from CI history and test execution patterns. Use when debugging intermittent test failures, auditing test reliability, or improving CI stability.
jmagly/aiwg 107
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reflection-injection
jmagly/aiwg 107
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setup-generate
Generate a `setup.manifest.yaml` file for a project using the `setup.aiwg.io/v1`
jmagly/aiwg 107
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setup-run
Execute a `setup.aiwg.io/v1` SetupManifest, performing cross-platform installati
jmagly/aiwg 107
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flow-handoff-checklist
Orchestrate handoff validation between SDLC phases and tracks (Discovery→Delivery, Delivery→Ops, phase transitions)
jmagly/aiwg 107
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cost-optimizer
Analyze LLM pipeline costs and generate concrete optimization recommendations with savings estimates
jmagly/aiwg 107
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eval-loop
Configure and run the isolated eval loop pattern — generate, evaluate, refine until pass threshold met
jmagly/aiwg 107
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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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asset-production
jmagly/aiwg 107
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ralph-config
View and configure agent loop settings — show, set, reset, and apply named presets
jmagly/aiwg 107
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skill-enhancer
AI-powered enhancement of skill SKILL.md files. Use to transform basic templates into comprehensive, high-quality skill documentation.
jmagly/aiwg 107
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competitive-analysis
jmagly/aiwg 107