Skip to main content
ClaudeWave

Claude Code Skills · page 74

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.

12,847 skills1-command install
  1. Web 视觉设计 SKILL。输入 PRD / 参考 URL / 截图 / 关键词(任意组合),先产出一份标准化 DESIGN.md 设计规范,用户确认后据此生成 UI/UX、视觉、动效、响应式全部达标的 web 代码。专攻 web 端:Landing Page、Portfolio、产品页、博客、个人站、SaaS 介绍页等。当用户说"帮我做个网站""设计一个页面""参考 XX 做一个""把这个截图/PRD 做成网页""做一个 landing page""出一份 design 规范"时触发。不用于后端、数据库、纯逻辑 bug 修复。

  2. Draft a Changesets file for modified public packages in this repo.

  3. Run the local maintainer release flow for this Changesets-based pnpm monorepo.

  4. Audit an agent skill with Semia Skill Behavior Mapping. Use when the user asks to run `semia scan <path>`, "Run Semia audit on this skill", audit a skill package, or review a skill/integration for capability, data-flow, secret, installer, network, filesystem, or policy risk.

  5. Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation

  6. Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation

  7. 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

  8. Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement

  9. 5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance

  10. Architectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.

  11. Comprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects. Load when designing system architecture or selecting patterns.

  12. Canonical AT completeness gate — research-anchored 7-category taxonomy (C1-C7) + 15-item mechanical checklist. Paradigm-neutral. Drives acceptance-designer reviewer verdict deterministically.

  13. Domain-specific authoritative source databases, search strategies by topic category, and source freshness rules

  14. BDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation

  15. BDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification

  16. Structured divergent thinking techniques — HMW framing, SCAMPER, Crazy 8s mechanics, and option diversity guarantees. Enforces strict separation of generation and evaluation phases.

  17. 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.

  18. How the nWave buddy agent reads a project to answer questions — detection, order of inspection, and citation discipline.

  19. Single Source of Truth detection — where truth lives in an nWave repo and how to avoid contradicting it.

  20. Wave methodology knowledge for the buddy agent — what each wave does, its inputs and outputs, and how to route questions.

  21. nWave concierge — ask any question about methodology, project state, commands, migration, or troubleshooting. Read-only, contextual answers.

  22. Bug fix workflow: root cause analysis → user review → regression test + fix via TDD

  23. Canary skill for auto-injection detection

  24. CI/CD pipeline design methodology, deployment strategies, GitHub Actions patterns, and branch/release strategies. Load when designing pipelines or deployment workflows.

  25. Cross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflows

  26. Documentation collapse anti-patterns - detection rules, bad examples, and remediation strategies for type-mixing violations

  27. Best practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidence

  28. Step-by-step workflow for converting bloated command files to lean declarative definitions

  29. Detects current wave progress for a feature and resumes at the next step. Scans docs/feature/ for artifacts.

  30. 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

  31. Data architecture patterns (warehouse, lake, lakehouse, mesh), ETL/ELT pipelines, streaming architectures, scaling strategies, and schema design patterns

  32. Database comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics

  33. Event Modeling facilitation technique — brainstorm events, identify commands and views, define aggregate boundaries, write Given-When-Then specifications

  34. Event Sourcing and CQRS as DDD implementation patterns — when to use, aggregate event streams, projections, snapshots, sagas, upcasting, conflict resolution

  35. Strategic DDD — bounded context discovery, context mapping patterns, subdomain classification, ubiquitous language, and organizational alignment

  36. Tactical DDD — aggregate design rules, entities, value objects, domain events, repositories, domain services, and anti-pattern detection

  37. 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.

  38. 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.

  39. 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.

  40. 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.

  41. Evaluation criteria and scoring for data engineering artifact reviews

  42. Apple LeanUX++ design workflow, journey schema, emotional arc patterns, and CLI UX patterns. Load when transitioning from discovery to visualization or when designing journey artifacts.

  43. 7 agentic design patterns with decision tree for choosing the right pattern for each agent type

  44. 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).

  45. Designs CI/CD pipelines, infrastructure, observability, and deployment strategy. Use when preparing platform readiness for a feature.

  46. Generates C4 architecture diagrams (context, container, component) in Mermaid or PlantUML. Use when creating or updating architecture visualizations.

  47. Conducts evidence-based product discovery through customer interviews and assumption testing. Use at project start to validate problem-solution fit.

  48. Question-first approach to understanding user journeys. Load when starting a new journey design or when the discovery phase needs deepening.

  49. 4-phase discovery workflow with decision gates, phase transitions, success metrics, and state tracking

  50. 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.

  51. 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.

  52. 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.

  53. Review criteria for the nw-diverger-reviewer — validates JTBD rigor, research quality, option diversity, taste application correctness, and recommendation coherence in DIVERGE wave artifacts

  54. DIVIO/Diataxis four-quadrant documentation framework - type definitions, classification decision tree, and signal catalog

  55. Creates evidence-based documentation following DIVIO/Diataxis principles. Use when writing tutorials, how-to guides, reference docs, or explanations.

  56. Strategic and tactical DDD patterns, bounded context discovery, context mapping, aggregate design rules, and decision frameworks for when to apply DDD

  57. Definition of Ready checklist criteria, antipattern detection patterns, UAT quality rules, and domain language enforcement for product owner review

  58. Critique dimensions, severity framework, verdict decision matrix, and review output format for documentation assessment reviews

  59. Dispatches one unit of DELIVER work to a specialized agent for TDD execution. Runs a single roadmap.json step through the TDD cycle.

  60. Fast-forwards through remaining waves end-to-end without stopping for review between waves.

  61. 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.

  62. Toyota 5 Whys methodology with multi-causal branching, evidence requirements, and validation techniques

  63. 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.

  64. TLA+ and PlusCal for specifying distributed system invariants. Decision heuristics for when formal verification adds value, key patterns, state explosion management, and alternatives comparison.

  65. Algebra-driven API design with monoids, semigroups, and interpreters via algebraic equations