ReddRadar
Topic: claude-code-subagents
640 skills in this topic.
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nw-domain-driven-design
Strategic and tactical DDD patterns, bounded context discovery, context mapping, aggregate design rules, and decision frameworks for when to apply DDD
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-fp-fsharp
F# language-specific patterns, Railway-Oriented Programming, and Computation Expressions
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-fp-usable-design
Naming conventions, API ergonomics, and usability patterns for functional code
nWave-ai/nWave 341
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nw-bugfix
Bug fix workflow: root cause analysis → user review → regression test + fix via TDD
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-principles
Core functional programming thinking patterns and type system foundations, language-agnostic
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-hexagonal-architecture
Hexagonal architecture patterns with pure core and side-effect shell for functional codebases
nWave-ai/nWave 341
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nw-canary
Canary skill for auto-injection detection
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-cicd-and-deployment
CI/CD pipeline design methodology, deployment strategies, GitHub Actions patterns, and branch/release strategies. Load when designing pipelines or deployment workflows.
nWave-ai/nWave 341
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nw-collaboration-and-handoffs
Cross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflows
nWave-ai/nWave 341
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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-command-design-patterns
Best practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidence
nWave-ai/nWave 341
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nw-execute
Dispatches a single roadmap step to a specialized agent for TDD execution. Use when implementing a specific step from a roadmap.json plan.
nWave-ai/nWave 341
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nw-fast-forward
Fast-forwards through remaining waves end-to-end without stopping for review between waves.
nWave-ai/nWave 341
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nw-finalize
Archives a completed feature to docs/evolution/, migrates lasting artifacts to permanent directories, and cleans up the temporary workspace. Use after all implementation steps pass and mutation testing completes.
nWave-ai/nWave 341
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nw-five-whys-methodology
Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques
nWave-ai/nWave 341
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nw-fp-algebra-driven-design
Algebra-driven API design with monoids, semigroups, and interpreters via algebraic equations
nWave-ai/nWave 341
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nw-fp-domain-modeling
Domain modeling with algebraic data types, smart constructors, and type-level error handling
nWave-ai/nWave 341
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nw-fp-clojure
Clojure language-specific patterns, data-first modeling, REPL-driven development, and spec
nWave-ai/nWave 341
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nw-buddy-wave-knowledge
Wave methodology knowledge for the buddy agent — what each wave does, its inputs and outputs, and how to route questions.
nWave-ai/nWave 341