ReddRadar
Topic: claude-code-subagents
640 skills in this topic.
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nw-research-methodology
Research output templates, distillation workflow, and quality standards for evidence-driven research
nWave-ai/nWave 341
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nw-refactor
Applies the Refactoring Priority Premise (RPP) levels L1-L6 for systematic code refactoring. Use when improving code quality through structured refactoring passes.
nWave-ai/nWave 341
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nw-query-optimization
SQL and NoSQL query optimization techniques, indexing strategies, execution plan analysis, JOIN algorithms, cardinality estimation, and database-specific query patterns
nWave-ai/nWave 341
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nw-quality-validation
Type-specific validation checklists, six quality characteristics, and quality gate thresholds for documentation assessment
nWave-ai/nWave 341
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nw-quality-framework
Quality gates - 11 commit readiness gates, build/test protocol, validation checkpoints, and quality metrics
nWave-ai/nWave 341
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nw-property-based-testing
Property-based testing strategies, mutation testing, shrinking, and combined PBT+mutation workflow for test quality validation
nWave-ai/nWave 341
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nw-progressive-refactoring
Progressive L1-L6 refactoring hierarchy, 22 code smell taxonomy, atomic transformations, test code smells, and Fowler refactoring catalog
nWave-ai/nWave 341
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nw-production-safety
Agent safety boundaries - input validation, output filtering, scope constraints, and document creation policy
nWave-ai/nWave 341
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nw-production-readiness
Monitoring, observability, operational procedures, CI/CD lessons learned, and quality gate definitions. Load when assessing production readiness or validating operational excellence.
nWave-ai/nWave 341
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nw-post-mortem-framework
Blameless post-mortem structure, incident timeline reconstruction, response evaluation, and organizational learning
nWave-ai/nWave 341
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nw-por-review-criteria
Review dimensions and bug patterns for journey artifact reviews
nWave-ai/nWave 341
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nw-pbt-haskell
Haskell property-based testing with QuickCheck and Hedgehog frameworks
nWave-ai/nWave 341
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nw-outcome-kpi-framework
Outcome KPI definition methodology - synthesizes Who Does What By How Much (Gothelf/Seiden), Running Lean (Maurya), and Measure What Matters (Doerr) into a practical framework for measurable outcome KPIs
nWave-ai/nWave 341
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nw-par-review-criteria
Quality dimensions and review checklist for devop reviews
nWave-ai/nWave 341
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nw-pbt-dotnet
.NET property-based testing with FsCheck, CsCheck, and fsharp-hedgehog frameworks
nWave-ai/nWave 341
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nw-pbt-erlang-elixir
Erlang/Elixir property-based testing with PropEr, PropCheck, and StreamData frameworks
nWave-ai/nWave 341
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nw-pbt-fundamentals
Property-based testing core concepts, property taxonomy, and strategy selection (language-agnostic)
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-rust
Rust property-based testing with proptest, quickcheck, and bolero frameworks
nWave-ai/nWave 341
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nw-platform-engineering-foundations
Foundational platform engineering knowledge from key references -- Continuous Delivery, SRE, Accelerate, Team Topologies, Chaos Engineering, and Secure Delivery. Load when contextual grounding in platform engineering theory is needed.
nWave-ai/nWave 341
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nw-pdr-review-criteria
Evidence quality validation and decision gate criteria for product discovery reviews
nWave-ai/nWave 341
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nw-pbt-typescript
TypeScript/JavaScript property-based testing with fast-check framework and arbitraries
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-pbt-python
Python property-based testing with Hypothesis framework, strategies, and pytest integration
nWave-ai/nWave 341