ReddRadar
Topic: claude-code-skills
8,614 skills in this topic.
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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
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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-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-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-der-review-criteria
Evaluation criteria and scoring for data engineering artifact reviews
nWave-ai/nWave 341
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nw-research-methodology
Research output templates, distillation workflow, and quality standards for evidence-driven research
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-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-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-mikado
[EXPERIMENTAL] Complex refactoring roadmaps with visual tracking
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
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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-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-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-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-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-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-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
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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-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-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
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nw-tdd-methodology
Deep knowledge for Outside-In TDD - double-loop architecture, ATDD integration, port-to-port testing, walking skeletons, and test doubles policy
nWave-ai/nWave 341
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nw-command-optimization-workflow
Step-by-step workflow for converting bloated command files to lean declarative definitions
nWave-ai/nWave 341
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nw-continue
Detects current wave progress for a feature and resumes at the next step. Scans docs/feature/ for artifacts.
nWave-ai/nWave 341