ReddRadar
Topic: agentic-coding
2,023 skills in this topic.
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nw-collapse-detection
Documentation collapse anti-patterns - detection rules, bad examples, and remediation strategies for type-mixing violations
nWave-ai/nWave 341
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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-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-ddd-event-modeling
Event Modeling facilitation technique — brainstorm events, identify commands and views, define aggregate boundaries, write Given-When-Then specifications
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-deployment-strategies
Rollback procedures, risk assessment, pre/post-deployment validation, and contingency planning. Load when orchestrating deployment or preparing rollback plans. For deployment strategy details (canary, blue-green, rolling), see `cicd-and-deployment` skill.
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-design-patterns
7 agentic design patterns with decision tree for choosing the right pattern for each agent type
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-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-divio-framework
DIVIO/Diataxis four-quadrant documentation framework - type definitions, classification decision tree, and signal catalog
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-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-fp-domain-modeling
Domain modeling with algebraic data types, smart constructors, and type-level error handling
nWave-ai/nWave 341
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nw-architecture-patterns
Comprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects. Load when designing system architecture or selecting patterns.
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
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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-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-architectural-styles-tradeoffs
Architectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.
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-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-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-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-agent-testing
5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance
nWave-ai/nWave 341