nw-ab-critique-dimensions
nWave-ai/nWave617
nWave-ai/nWave617nw-ab-critique-dimensions
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
前端开发
nWave-ai/nWave
共 30 个 Skill。
nw-abr-critique-dimensionsnWave-ai/nWave617
nWave-ai/nWave617nw-abr-critique-dimensions
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
前端开发
nw-ad-critique-dimensionsnWave-ai/nWave617
nWave-ai/nWave617nw-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
前端开发
nw-agent-creation-workflownWave-ai/nWave617
nWave-ai/nWave617nw-agent-creation-workflow
Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement
前端开发
nw-agent-testingnWave-ai/nWave617
nWave-ai/nWave617nw-agent-testing
5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance
前端开发
nw-architectural-styles-tradeoffsnWave-ai/nWave617
nWave-ai/nWave617nw-architectural-styles-tradeoffs
Architectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.
前端开发
nw-architecture-patternsnWave-ai/nWave617
nWave-ai/nWave617nw-architecture-patterns
Comprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects. Load when designing system architecture or selecting patterns.
前端开发
nw-at-completeness-checknWave-ai/nWave617
nWave-ai/nWave617nw-at-completeness-check
Canonical AT completeness gate — research-anchored 7-category taxonomy (C1-C7) + 15-item mechanical checklist. Paradigm-neutral. Drives acceptance-designer reviewer verdict deterministically.
前端开发
nw-authoritative-sourcesnWave-ai/nWave617
nWave-ai/nWave617nw-authoritative-sources
Domain-specific authoritative source databases, search strategies by topic category, and source freshness rules
前端开发
nw-bdd-methodologynWave-ai/nWave617
nWave-ai/nWave617nw-bdd-methodology
BDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation
前端开发
nw-bdd-requirementsnWave-ai/nWave617
nWave-ai/nWave617nw-bdd-requirements
BDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification
前端开发
nw-brainstormingnWave-ai/nWave617
nWave-ai/nWave617nw-brainstorming
Structured divergent thinking techniques — HMW framing, SCAMPER, Crazy 8s mechanics, and option diversity guarantees. Enforces strict separation of generation and evaluation phases.
前端开发
nw-buddynWave-ai/nWave617
nWave-ai/nWave617nw-buddy
nWave concierge — ask any question about methodology, project state, commands, migration, or troubleshooting. Read-only, contextual answers.
前端开发
nw-buddy-command-catalognWave-ai/nWave617
nWave-ai/nWave617nw-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.
前端开发
nw-buddy-project-readingnWave-ai/nWave617
nWave-ai/nWave617nw-buddy-project-reading
How the nWave buddy agent reads a project to answer questions — detection, order of inspection, and citation discipline.
前端开发
nw-buddy-ssot-knowledgenWave-ai/nWave617
nWave-ai/nWave617nw-buddy-ssot-knowledge
Single Source of Truth detection — where truth lives in an nWave repo and how to avoid contradicting it.
前端开发
nw-buddy-wave-knowledgenWave-ai/nWave617
nWave-ai/nWave617nw-buddy-wave-knowledge
Wave methodology knowledge for the buddy agent — what each wave does, its inputs and outputs, and how to route questions.
前端开发
nw-bugfixnWave-ai/nWave617
nWave-ai/nWave617nw-canarynWave-ai/nWave617
nWave-ai/nWave617nw-cicd-and-deploymentnWave-ai/nWave617
nWave-ai/nWave617nw-cicd-and-deployment
CI/CD pipeline design methodology, deployment strategies, GitHub Actions patterns, and branch/release strategies. Load when designing pipelines or deployment workflows.
前端开发
nw-collaboration-and-handoffsnWave-ai/nWave617
nWave-ai/nWave617nw-collaboration-and-handoffs
Cross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflows
前端开发
nw-collapse-detectionnWave-ai/nWave617
nWave-ai/nWave617nw-collapse-detection
Documentation collapse anti-patterns - detection rules, bad examples, and remediation strategies for type-mixing violations
前端开发
nw-command-design-patternsnWave-ai/nWave617
nWave-ai/nWave617nw-command-design-patterns
Best practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidence
前端开发
nw-command-optimization-workflownWave-ai/nWave617
nWave-ai/nWave617nw-command-optimization-workflow
Step-by-step workflow for converting bloated command files to lean declarative definitions
前端开发
nw-continuenWave-ai/nWave617
nWave-ai/nWave617nw-continue
Detects current wave progress for a feature and resumes at the next step. Scans docs/feature/ for artifacts.
前端开发
nw-data-architecture-patternsnWave-ai/nWave617
nWave-ai/nWave617nw-data-architecture-patterns
Data architecture patterns (warehouse, lake, lakehouse, mesh), ETL/ELT pipelines, streaming architectures, scaling strategies, and schema design patterns
前端开发
nw-database-technology-selectionnWave-ai/nWave617
nWave-ai/nWave617nw-database-technology-selection
Database comparison catalogs, RDBMS vs NoSQL selection criteria, CAP/ACID/BASE theory, OLTP vs OLAP, and technology-specific characteristics
前端开发
nw-ddd-event-modelingnWave-ai/nWave617
nWave-ai/nWave617nw-ddd-event-modeling
Event Modeling facilitation technique — brainstorm events, identify commands and views, define aggregate boundaries, write Given-When-Then specifications
前端开发
nw-ddd-eventsourcingnWave-ai/nWave617
nWave-ai/nWave617nw-ddd-eventsourcing
Event Sourcing and CQRS as DDD implementation patterns — when to use, aggregate event streams, projections, snapshots, sagas, upcasting, conflict resolution
前端开发
nw-ddd-strategicnWave-ai/nWave617
nWave-ai/nWave617nw-ddd-strategic
Strategic DDD — bounded context discovery, context mapping patterns, subdomain classification, ubiquitous language, and organizational alignment
前端开发