Topic: agentic-coding
2,023 skills in this topic.
-
nw-deliver-orchestration
DELIVER wave orchestration workflow -- 9 phases from baseline to finalization. Load when user invokes *deliver command. Covers state tracking, smart skip logic, retry, resume, and quality gate enforcement.
nWave-ai/nWave 341
-
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
-
nw-pbt-rust
Rust property-based testing with proptest, quickcheck, and bolero frameworks
nWave-ai/nWave 341
-
nw-hotspot
Git change frequency hotspot analysis — find the most-changed files in your codebase
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-deliver
Orchestrates the full DELIVER wave end-to-end (roadmap > execute-all > finalize). Use when all prior waves are complete and the feature is ready for implementation.
nWave-ai/nWave 341
-
nw-sar-critique-dimensions
Architecture quality critique dimensions for peer review. Load when performing architecture document reviews.
nWave-ai/nWave 341
-
nw-pbt-python
Python property-based testing with Hypothesis framework, strategies, and pytest integration
nWave-ai/nWave 341
-
nw-operational-safety
Tool safety protocols, adversarial output validation, error recovery patterns, and I/O contracts for research operations
nWave-ai/nWave 341
-
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
-
nw-five-whys-methodology
Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques
nWave-ai/nWave 341
-
nw-discuss
Conducts Jobs-to-be-Done analysis, UX journey design, and requirements gathering through interactive discovery. Use when starting feature analysis, defining user stories, or creating acceptance criteria.
nWave-ai/nWave 341
-
nw-sa-critique-dimensions
Architecture quality critique dimensions for peer review. Load when invoking solution-architect-reviewer or performing self-review of architecture documents.
nWave-ai/nWave 341
-
nw-pbt-jvm
JVM property-based testing with jqwik, ScalaCheck, and ZIO Test frameworks
nWave-ai/nWave 341
-
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
-
nw-fp-usable-design
Naming conventions, API ergonomics, and usability patterns for functional code
nWave-ai/nWave 341
-
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
-
nw-ddd-strategic
Strategic DDD — bounded context discovery, context mapping patterns, subdomain classification, ubiquitous language, and organizational alignment
nWave-ai/nWave 341
-
nw-property-based-testing
Property-based testing strategies, mutation testing, shrinking, and combined PBT+mutation workflow for test quality validation
nWave-ai/nWave 341
-
nw-stakeholder-engagement
Demonstration preparation, audience-tailored presentations, feedback collection, and business outcome measurement. Load when preparing demos or measuring business value delivery.
nWave-ai/nWave 341
-
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
-
nw-fast-forward
Fast-forwards through remaining waves end-to-end without stopping for review between waves.
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-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