Topic: agentic-workflow
2,980 skills in this topic.
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nw-canary
Canary skill for auto-injection detection
nWave-ai/nWave 341
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nw-document
Creates evidence-based documentation following DIVIO/Diataxis principles. Use when writing tutorials, how-to guides, reference docs, or explanations.
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-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-go
Go property-based testing with rapid and gopter frameworks
nWave-ai/nWave 341
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nw-source-verification
Source reputation tiers, cross-referencing methodology, bias detection, and citation format requirements
nWave-ai/nWave 341
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nw-test-design-mandates
Four design mandates for acceptance tests - hexagonal boundary enforcement, business language abstraction, user journey completeness, walking skeleton strategy, and pure function extraction
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-rigor
Selects a quality-vs-token-consumption profile (lean, standard, thorough, exhaustive, custom, inherit) and persists it globally (~/.nwave/global-config.json) or per-project (.nwave/des-config.json). Use when tuning how much rigor wave commands apply.
nWave-ai/nWave 341
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nw-pbt-jvm
JVM property-based testing with jqwik, ScalaCheck, and ZIO Test frameworks
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-spike
Runs a timeboxed spike to validate one core assumption before DESIGN. Use after DISCUSS when the feature involves a new mechanism, performance requirement, or external integration.
nWave-ai/nWave 341
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nw-dr-review-criteria
Critique dimensions, severity framework, verdict decision matrix, and review output format for documentation assessment reviews
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-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
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nw-operational-safety
Tool safety protocols, adversarial output validation, error recovery patterns, and I/O contracts for research operations
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-pbt-python
Python property-based testing with Hypothesis framework, strategies, and pytest integration
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-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-post-mortem-framework
Blameless post-mortem structure, incident timeline reconstruction, response evaluation, and organizational learning
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-legacy-refactoring-ddd
DDD-guided legacy refactoring patterns -- strangler fig, bubble context, ACL migration, 14 tactical/strategic/infrastructure patterns, and incremental monolith-to-microservices methodology
nWave-ai/nWave 341
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nw-authoritative-sources
Domain-specific authoritative source databases, search strategies by topic category, and source freshness rules
nWave-ai/nWave 341