ReddRadar
Topic: agentic-coding
2,023 skills in this topic.
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nw-forge
Creates new specialized agents using the 5-phase workflow (ANALYZE > DESIGN > CREATE > VALIDATE > REFINE). Use when building a new AI agent or validating an existing agent specification.
nWave-ai/nWave 341
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nw-ab-critique-dimensions
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
nWave-ai/nWave 341
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nw-fp-haskell
Haskell language-specific patterns, GADTs, type classes, and effect systems
nWave-ai/nWave 341
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nw-fp-hexagonal-architecture
Hexagonal architecture patterns with pure core and side-effect shell for functional codebases
nWave-ai/nWave 341
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nw-fp-kotlin
Kotlin language-specific patterns with Arrow, Raise DSL, and coroutine-based effects
nWave-ai/nWave 341
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nw-fp-principles
Core functional programming thinking patterns and type system foundations, language-agnostic
nWave-ai/nWave 341
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nw-fp-scala
Scala 3 language-specific patterns with ZIO, Cats Effect, and opaque types
nWave-ai/nWave 341
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nw-fp-usable-design
Naming conventions, API ergonomics, and usability patterns for functional code
nWave-ai/nWave 341
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nw-hexagonal-testing
5-layer agent output validation, I/O contract specification, vertical slice development, and test doubles policy with per-layer examples
nWave-ai/nWave 341
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nw-hotspot
Git change frequency hotspot analysis — find the most-changed files in your codebase
nWave-ai/nWave 341
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nw-interviewing-techniques
Mom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design
nWave-ai/nWave 341
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nw-investigation-techniques
Evidence collection methods, problem categorization, analysis techniques, and solution design patterns
nWave-ai/nWave 341
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nw-jtbd-analysis
JTBD methodology for extracting real jobs behind feature requests — job statements, abstraction layers, first-principles extraction, ODI outcome statements, and opportunity scoring
nWave-ai/nWave 341
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nw-jtbd-bdd-integration
Translating JTBD analysis to BDD scenarios - job story to Given-When-Then patterns, forces-based test discovery, job-map-based test discovery, and property-shaped criteria
nWave-ai/nWave 341
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nw-leanux-methodology
LeanUX backlog management methodology - user story template, story sizing, story states, task types, Definition of Ready/Done, anti-pattern detection and remediation
nWave-ai/nWave 341
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nw-legacy-refactoring-ddd
DDD-guided legacy refactoring patterns -- strangler fig, bubble context, ACL migration, 14 tactical/strategic/infrastructure patterns, and incremental monolith-to-microservices methodology
nWave-ai/nWave 341
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nw-mikado
[EXPERIMENTAL] Complex refactoring roadmaps with visual tracking
nWave-ai/nWave 341
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nw-mutation-test
Runs feature-scoped mutation testing to validate test suite quality. Use after implementation to verify tests catch real bugs (kill rate >= 80%).
nWave-ai/nWave 341
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nw-new
Guided wizard to start a new feature. Asks what you want to build, recommends the right starting wave, and launches it.
nWave-ai/nWave 341
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nw-operational-safety
Tool safety protocols, adversarial output validation, error recovery patterns, and I/O contracts for research operations
nWave-ai/nWave 341
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nw-opportunity-mapping
Opportunity Solution Trees, opportunity scoring, Lean Canvas, JTBD job mapping, and technique selection guide
nWave-ai/nWave 341
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nw-dor-validation
Definition of Ready checklist criteria, antipattern detection patterns, UAT quality rules, and domain language enforcement for product owner review
nWave-ai/nWave 341
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nw-pbt-go
Go property-based testing with rapid and gopter frameworks
nWave-ai/nWave 341
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nw-pbt-haskell
Haskell property-based testing with QuickCheck and Hedgehog frameworks
nWave-ai/nWave 341