Topic: agentic-workflow
2,980 skills in this topic.
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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
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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
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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
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nw-fast-forward
Fast-forwards through remaining waves end-to-end without stopping for review between waves.
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-ab-critique-dimensions
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
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-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-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
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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-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-test-organization-conventions
Test directory structure patterns by architecture style, language conventions, naming rules, and fixture placement. Decision tree for selecting test organization strategy.
nWave-ai/nWave 341
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nw-leanux-methodology
LeanUX backlog management methodology - user story template, story sizing, story states, task types, Definition of Ready/Done, anti-pattern detection and remediation
nWave-ai/nWave 341
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nw-discover
Conducts evidence-based product discovery through customer interviews and assumption testing. Use at project start to validate problem-solution fit.
nWave-ai/nWave 341
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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
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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
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nw-sd-case-studies
25 real-world system design case studies condensed from Alex Xu's System Design Interview Vol 1 and 2 - requirements, architecture, deep dive insights, key takeaways
nWave-ai/nWave 341
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nw-fp-usable-design
Naming conventions, API ergonomics, and usability patterns for functional code
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-buddy-command-catalog
All /nw-* commands — what they do, when to use them, which agent they invoke. For the buddy agent to help users pick the right command.
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-tlaplus-verification
TLA+ formal verification for design correctness and PBT pipeline integration
nWave-ai/nWave 341
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nw-ad-critique-dimensions
Review dimensions for acceptance test quality - happy path bias, GWT compliance, business language purity, coverage completeness, walking skeleton user-centricity, priority validation, observable behavior assertions, traceability coverage, and walking skeleton boundary proof
nWave-ai/nWave 341
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nw-diverge
Generates 3-5 divergent design directions through JTBD analysis, competitive research, structured brainstorming, and taste evaluation before convergence. Use when the team has a validated problem but hasn't chosen a solution approach.
nWave-ai/nWave 341