Topic: claude-code-hooks
654 skills in this topic.
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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-formal-verification-tlaplus
TLA+ and PlusCal for specifying distributed system invariants. Decision heuristics for when formal verification adds value, key patterns, state explosion management, and alternatives comparison.
nWave-ai/nWave 341
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nw-agent-creation-workflow
Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement
nWave-ai/nWave 341
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nw-ux-principles
Core UX principles for product owners. Load when evaluating interface designs, writing acceptance criteria with UX requirements, or reviewing wireframes and mockups.
nWave-ai/nWave 341
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nw-taste-evaluation
Design taste evaluation framework — DVF primary filter, Apple/Google/Jobs design principles as explicit scoring criteria, weighted decision matrix, and option ranking for the DIVERGE wave
nWave-ai/nWave 341
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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
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nw-diverger-review-criteria
Review criteria for the nw-diverger-reviewer — validates JTBD rigor, research quality, option diversity, taste application correctness, and recommendation coherence in DIVERGE wave artifacts
nWave-ai/nWave 341
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nw-review-workflow
Detailed review process, v2 validation checklist, and scoring methodology for agent definition reviews
nWave-ai/nWave 341
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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
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nw-ddd-eventsourcing
Event Sourcing and CQRS as DDD implementation patterns — when to use, aggregate event streams, projections, snapshots, sagas, upcasting, conflict resolution
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-haskell
Haskell property-based testing with QuickCheck and Hedgehog frameworks
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-canary
Canary skill for auto-injection detection
nWave-ai/nWave 341
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nw-der-review-criteria
Evaluation criteria and scoring for data engineering artifact reviews
nWave-ai/nWave 341
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nw-bdd-requirements
BDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification
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-algebra-driven-design
Algebra-driven API design with monoids, semigroups, and interpreters via algebraic equations
nWave-ai/nWave 341
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nw-database-technology-selection
Database comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics
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-abr-critique-dimensions
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
nWave-ai/nWave 341
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nw-discovery-workflow
4-phase discovery workflow with decision gates, phase transitions, success metrics, and state tracking
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-opportunity-mapping
Opportunity Solution Trees, opportunity scoring, Lean Canvas, JTBD job mapping, and technique selection guide
nWave-ai/nWave 341