Topic: agentic-ai
3,764 skills in this topic.
-
nw-abr-critique-dimensions
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
nWave-ai/nWave 341
-
nw-quality-framework
Quality gates - 11 commit readiness gates, build/test protocol, validation checkpoints, and quality metrics
nWave-ai/nWave 341
-
nw-review-workflow
Detailed review process, v2 validation checklist, and scoring methodology for agent definition reviews
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-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-ux-tui-patterns
Terminal UI and CLI design patterns for product owners. Load when designing command-line tools, interactive terminal applications, or writing CLI-specific acceptance criteria.
nWave-ai/nWave 341
-
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-par-critique-dimensions
Platform design review critique dimensions and severity levels. Load when reviewing CI/CD pipelines, infrastructure, deployment strategies, observability, or security designs.
nWave-ai/nWave 341
-
nw-fp-principles
Core functional programming thinking patterns and type system foundations, language-agnostic
nWave-ai/nWave 341
-
nw-pbt-jvm
JVM property-based testing with jqwik, ScalaCheck, and ZIO Test frameworks
nWave-ai/nWave 341
-
nw-jtbd-analysis
JTBD methodology for extracting real jobs behind feature requests — job statements, abstraction layers, first-principles extraction, ODI outcome statements, and opportunity scoring
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-ab-critique-dimensions
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
nWave-ai/nWave 341
-
nw-fp-scala
Scala 3 language-specific patterns with ZIO, Cats Effect, and opaque types
nWave-ai/nWave 341
-
nw-canary
Canary skill for auto-injection detection
nWave-ai/nWave 341
-
nw-dr-review-criteria
Critique dimensions, severity framework, verdict decision matrix, and review output format for documentation assessment reviews
nWave-ai/nWave 341
-
nw-bugfix
Bug fix workflow: root cause analysis → user review → regression test + fix via TDD
nWave-ai/nWave 341
-
nw-pbt-haskell
Haskell property-based testing with QuickCheck and Hedgehog frameworks
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-canary
Canary skill for auto-injection detection
nWave-ai/nWave 341
-
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
-
nw-ux-web-patterns
Web UI design patterns for product owners. Load when designing web application interfaces, writing web-specific acceptance criteria, or evaluating responsive designs.
nWave-ai/nWave 341
-
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
-
nw-ux-web-patterns
Web UI design patterns for product owners. Load when designing web application interfaces, writing web-specific acceptance criteria, or evaluating responsive designs.
nWave-ai/nWave 341