Claude Code Skills · page 105
Individual Claude Code skills mined from every repository in the directory: each SKILL.md, installable with one command, with its full definition and the repository's trust signals.
Wave methodology knowledge for the buddy agent — what each wave does, its inputs and outputs, and how to route questions.
nWave-ai/nWaveInstall- nw-buddy610
nWave concierge — ask any question about methodology, project state, commands, migration, or troubleshooting. Read-only, contextual answers.
nWave-ai/nWaveInstall - nw-bugfix610
Bug fix workflow: root cause analysis → user review → regression test + fix via TDD
nWave-ai/nWaveInstall - nw-canary610
Canary skill for auto-injection detection
nWave-ai/nWaveInstall CI/CD pipeline design methodology, deployment strategies, GitHub Actions patterns, and branch/release strategies. Load when designing pipelines or deployment workflows.
nWave-ai/nWaveInstallCross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflows
nWave-ai/nWaveInstallDocumentation collapse anti-patterns - detection rules, bad examples, and remediation strategies for type-mixing violations
nWave-ai/nWaveInstallBest practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidence
nWave-ai/nWaveInstallStep-by-step workflow for converting bloated command files to lean declarative definitions
nWave-ai/nWaveInstall- nw-continue610
Detects current wave progress for a feature and resumes at the next step. Scans docs/feature/ for artifacts.
nWave-ai/nWaveInstall Crafter discipline contract for the ATDD-pure 7-phase workflow — what the slim crafter does in Phase A (GREEN-the-ATs), Phase B (coverage-driven dead-code elimination), and Phase E (batch L1-L6 refactor), plus hard prohibitions and the Phase B common-cuts taxonomy
nWave-ai/nWaveInstallData architecture patterns (warehouse, lake, lakehouse, mesh), ETL/ELT pipelines, streaming architectures, scaling strategies, and schema design patterns
nWave-ai/nWaveInstallDatabase comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics
nWave-ai/nWaveInstallEvent Modeling facilitation technique — brainstorm events, identify commands and views, define aggregate boundaries, write Given-When-Then specifications
nWave-ai/nWaveInstallEvent Sourcing and CQRS as DDD implementation patterns — when to use, aggregate event streams, projections, snapshots, sagas, upcasting, conflict resolution
nWave-ai/nWaveInstallStrategic DDD — bounded context discovery, context mapping patterns, subdomain classification, ubiquitous language, and organizational alignment
nWave-ai/nWaveInstallTactical DDD — aggregate design rules, entities, value objects, domain events, repositories, domain services, and anti-pattern detection
nWave-ai/nWaveInstallDELIVER 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/nWaveInstall- nw-deliver610
Orchestrates the full DELIVER wave end-to-end (roadmap > execute-all > finalize). Use when all prior waves are complete and the feature is ready for implementation.
nWave-ai/nWaveInstall Shared density-resolution contract for wave skills. Canonical detail on the D12 cascade, density resolver call, ad-hoc override workflow, and DocumentationDensityEvent telemetry emission. Referenced from nw-discover / nw-discuss / nw-design / nw-devops / nw-distill / nw-deliver.
nWave-ai/nWaveInstallRollback 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/nWaveInstallEvaluation criteria and scoring for data engineering artifact reviews
nWave-ai/nWaveInstallApple LeanUX++ design workflow, journey schema, emotional arc patterns, and CLI UX patterns. Load when transitioning from discovery to visualization or when designing journey artifacts.
nWave-ai/nWaveInstall7 agentic design patterns with decision tree for choosing the right pattern for each agent type
nWave-ai/nWaveInstall- nw-design610
Designs system architecture with C4 diagrams and technology selection. Routes to the right architect based on design scope (system, domain, application, or full stack). Two interaction modes: guide (collaborative Q&A) or propose (architect presents options with trade-offs).
nWave-ai/nWaveInstall - nw-devops610
Designs CI/CD pipelines, infrastructure, observability, and deployment strategy. Use when preparing platform readiness for a feature.
nWave-ai/nWaveInstall - nw-diagram610
Generates C4 architecture diagrams (context, container, component) in Mermaid or PlantUML. Use when creating or updating architecture visualizations.
nWave-ai/nWaveInstall - nw-discover610
Conducts evidence-based product discovery through customer interviews and assumption testing. Use at project start to validate problem-solution fit.
nWave-ai/nWaveInstall Question-first approach to understanding user journeys. Load when starting a new journey design or when the discovery phase needs deepening.
nWave-ai/nWaveInstall4-phase discovery workflow with decision gates, phase transitions, success metrics, and state tracking
nWave-ai/nWaveInstall- nw-discuss610
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/nWaveInstall - nw-distill610
Acceptance test creation methodology for the DISTILL wave. Domain knowledge for the acceptance designer agent: port-to-port principle, prior wave reading, wave-decision reconciliation, graceful degradation, and document back-propagation.
nWave-ai/nWaveInstall - nw-diverge610
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/nWaveInstall 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/nWaveInstallDIVIO/Diataxis four-quadrant documentation framework - type definitions, classification decision tree, and signal catalog
nWave-ai/nWaveInstall- nw-document610
Creates evidence-based documentation following DIVIO/Diataxis principles. Use when writing tutorials, how-to guides, reference docs, or explanations.
nWave-ai/nWaveInstall Strategic and tactical DDD patterns, bounded context discovery, context mapping, aggregate design rules, and decision frameworks for when to apply DDD
nWave-ai/nWaveInstallDefinition of Ready checklist criteria, antipattern detection patterns, UAT quality rules, and domain language enforcement for product owner review
nWave-ai/nWaveInstallCritique dimensions, severity framework, verdict decision matrix, and review output format for documentation assessment reviews
nWave-ai/nWaveInstall- nw-execute610
Use when a DELIVER roadmap already exists and you need to dispatch exactly one identified step through its TDD cycle. Use nw-roadmap to create the plan, nw-deliver for the whole wave, and nw-continue to resume at the next inferred step.
nWave-ai/nWaveInstall Fast-forwards through remaining waves end-to-end without stopping for review between waves.
nWave-ai/nWaveInstall- nw-finalize610
Archives a completed feature to docs/evolution/, migrates lasting artifacts to permanent directories, and cleans up the temporary workspace. Use after all implementation steps pass and mutation testing completes.
nWave-ai/nWaveInstall Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques
nWave-ai/nWaveInstall- nw-forge610
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/nWaveInstall 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/nWaveInstallAlgebra-driven API design with monoids, semigroups, and interpreters via algebraic equations
nWave-ai/nWaveInstallClojure language-specific patterns, data-first modeling, REPL-driven development, and spec
nWave-ai/nWaveInstallDomain modeling with algebraic data types, smart constructors, and type-level error handling
nWave-ai/nWaveInstall- nw-fp-fsharp610
F# language-specific patterns, Railway-Oriented Programming, and Computation Expressions
nWave-ai/nWaveInstall Haskell language-specific patterns, GADTs, type classes, and effect systems
nWave-ai/nWaveInstallHexagonal architecture patterns with pure core and side-effect shell for functional codebases
nWave-ai/nWaveInstall- nw-fp-kotlin610
Kotlin language-specific patterns with Arrow, Raise DSL, and coroutine-based effects
nWave-ai/nWaveInstall Core functional programming thinking patterns and type system foundations, language-agnostic
nWave-ai/nWaveInstall- nw-fp-scala610
Scala 3 language-specific patterns with ZIO, Cats Effect, and opaque types
nWave-ai/nWaveInstall Naming conventions, API ergonomics, and usability patterns for functional code
nWave-ai/nWaveInstall5-layer agent output validation, I/O contract specification, vertical slice development, and test doubles policy with per-layer examples
nWave-ai/nWaveInstall- nw-hotspot610
Git change frequency hotspot analysis — find the most-changed files in your codebase
nWave-ai/nWaveInstall Infrastructure as Code patterns (Terraform, Kubernetes), observability design (SLOs, metrics, alerting, dashboards), and pipeline security stages. Load when designing infrastructure, observability, or security scanning.
nWave-ai/nWaveInstallMom Test questioning toolkit, JTBD analysis, interview conduct, assumption testing framework, and hypothesis design
nWave-ai/nWaveInstallEvidence collection methods, problem categorization, analysis techniques, and solution design patterns
nWave-ai/nWaveInstallJTBD methodology for extracting real jobs behind feature requests — job statements, abstraction layers, first-principles extraction, ODI outcome statements, and opportunity scoring
nWave-ai/nWaveInstallTranslating JTBD analysis to BDD scenarios - job story to Given-When-Then patterns, forces-based test discovery, job-map-based test discovery, and property-shaped criteria
nWave-ai/nWaveInstall- nw-jtbd-core610
Core JTBD theory and job story format - job dimensions, job story template, job stories vs user stories, 8-step universal job map, outcome statements, and forces of progress
nWave-ai/nWaveInstall JTBD discovery techniques adapted for AI product owner context. Four Forces extraction, job dimension probing, question banks, and anti-patterns for interactive feature discovery conversations.
nWave-ai/nWaveInstallJTBD opportunity scoring and prioritization - outcome statement format, opportunity algorithm, scoring interpretation, feature prioritization, and opportunity matrix template
nWave-ai/nWaveInstallJTBD workflow classification and routing - ODI two-phase framework, five job types with workflow sequences, baseline type selection, workflow anti-patterns, and common recipes
nWave-ai/nWaveInstall- add-model606
Add a new model to an existing provider
adaline/gatewayInstall Review a provider implementation for correctness and consistency with other providers
adaline/gatewayInstall>
kentcdodds/kodyInstall- conduct606
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kentcdodds/kodyInstall - control-kody606
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kentcdodds/kodyInstall - orchestrate606
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kentcdodds/kodyInstall - remix606
Build and review Remix 3 applications using the `remix` npm package and
kentcdodds/kodyInstall - ship-pr606
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kentcdodds/kodyInstall How to run and test kody's multi-worker local dev (origin kody worker +
kentcdodds/kodyInstall- visual-recap606
Generate and maintain the system recap block in a PR description - a
kentcdodds/kodyInstall - drawio-chart605
Draw.io 配图专家:用于生成和导出 `.drawio` 图表。在用户要求 draw.io、diagrams.net、流程图、架构图、时序图、ER 图、状态图、思维导图,或明确提到 `.drawio`、PNG、SVG、PDF 导出、技术文章配图时使用。默认输出专业技术风格,并遵循 floracat-architecture-diagram 的视觉规范。
Snailclimb/AIGuideInstall |
Snailclimb/AIGuideInstall- architecture604
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FerroxLabs/waylandInstall - bump-version604
Use when bumping the Wayland version: update package.json, run checks, branch, commit, push, create PR, wait for merge, tag release.
FerroxLabs/waylandInstall - fix-issues604
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FerroxLabs/waylandInstall - fix-sentry604
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FerroxLabs/waylandInstall - i18n604
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FerroxLabs/waylandInstall - oss-pr604
Use when creating a pull request, after committing changes, or when user invokes /oss-pr. Covers branch management, quality checks, commit, push, and PR creation.
FerroxLabs/waylandInstall |
FerroxLabs/waylandInstall- pr-fix604
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FerroxLabs/waylandInstall - pr-review604
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FerroxLabs/waylandInstall - pr-ship604
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FerroxLabs/waylandInstall - pr-verify604
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FerroxLabs/waylandInstall - testing604
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FerroxLabs/waylandInstall - skills604FerroxLabs/waylandInstall
Generate review + photo + video prompts at the right post-delivery moment by product type. Inputs: product type (consumable / durable / cosmetic / apparel), platform. Output: prompt-timing recommendation (D+3 / D+7 / D+14 by category), template copy, incentive structure (compliant with platform anti-incentive rules), photo-prompt CTA. Trigger phrases: 'review prompt', 'UGC prompt', 'ask for a photo review', 'request video testimonial', '/commerce ugc-prompts <product-type>'.
FerroxLabs/waylandInstall|
FerroxLabs/waylandInstall|
FerroxLabs/waylandInstall|
FerroxLabs/waylandInstall|
FerroxLabs/waylandInstall|
FerroxLabs/waylandInstall|
FerroxLabs/waylandInstall|
FerroxLabs/waylandInstall- convert-bump604
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FerroxLabs/waylandInstall