Topic: claude-code-skills
8,614 skills in this topic.
-
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
-
nw-fp-usable-design
Naming conventions, API ergonomics, and usability patterns for functional code
nWave-ai/nWave 341
-
nw-mikado
[EXPERIMENTAL] Complex refactoring roadmaps with visual tracking
nWave-ai/nWave 341
-
nw-pbt-dotnet
.NET property-based testing with FsCheck, CsCheck, and fsharp-hedgehog frameworks
nWave-ai/nWave 341
-
nw-pbt-erlang-elixir
Erlang/Elixir property-based testing with PropEr, PropCheck, and StreamData frameworks
nWave-ai/nWave 341
-
nw-post-mortem-framework
Blameless post-mortem structure, incident timeline reconstruction, response evaluation, and organizational learning
nWave-ai/nWave 341
-
nw-pbt-go
Go property-based testing with rapid and gopter frameworks
nWave-ai/nWave 341
-
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
-
nw-canary
Canary skill for auto-injection detection
nWave-ai/nWave 341
-
nw-divio-framework
DIVIO/Diataxis four-quadrant documentation framework - type definitions, classification decision tree, and signal catalog
nWave-ai/nWave 341
-
nw-po-review-dimensions
Requirements quality critique dimensions for peer review - confirmation bias detection, completeness validation, clarity checks, testability assessment, and priority validation
nWave-ai/nWave 341
-
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
-
nw-bugfix
Bug fix workflow: root cause analysis → user review → regression test + fix via TDD
nWave-ai/nWave 341
-
nw-bdd-methodology
BDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation
nWave-ai/nWave 341
-
nw-production-safety
Agent safety boundaries - input validation, output filtering, scope constraints, and document creation policy
nWave-ai/nWave 341
-
nw-pbt-typescript
TypeScript/JavaScript property-based testing with fast-check framework and arbitraries
nWave-ai/nWave 341
-
nw-opportunity-mapping
Opportunity Solution Trees, opportunity scoring, Lean Canvas, JTBD job mapping, and technique selection guide
nWave-ai/nWave 341
-
nw-fast-forward
Fast-forwards through remaining waves end-to-end without stopping for review between waves.
nWave-ai/nWave 341
-
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
-
nw-pbt-fundamentals
Property-based testing core concepts, property taxonomy, and strategy selection (language-agnostic)
nWave-ai/nWave 341
-
nw-discovery-methodology
Question-first approach to understanding user journeys. Load when starting a new journey design or when the discovery phase needs deepening.
nWave-ai/nWave 341
-
nw-ddd-strategic
Strategic DDD — bounded context discovery, context mapping patterns, subdomain classification, ubiquitous language, and organizational alignment
nWave-ai/nWave 341
-
nw-brainstorming
Structured divergent thinking techniques — HMW framing, SCAMPER, Crazy 8s mechanics, and option diversity guarantees. Enforces strict separation of generation and evaluation phases.
nWave-ai/nWave 341
-
nw-buddy-ssot-knowledge
Single Source of Truth detection — where truth lives in an nWave repo and how to avoid contradicting it.
nWave-ai/nWave 341