nWave
AI agents that guide you from idea to working code, with you in control at every step.
- 622 estrellas
- 66 forks
- 33 issues abiertos
- Lenguaje: Python
- Licencia: MIT
- actualizado
Instalación
git clone https://github.com/nWave-ai/nWave && cp nWave/*.md ~/.claude/agents/- Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
- Start a new Claude Code session to load the agents.
- Delegate work to them with the Task/Agent tool or by name.
24 items en este repositorio
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
Review dimensions for validating agent quality - template compliance, safety, testing, and priority validation
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
Detailed 5-phase workflow for creating agents - from requirements analysis through validation and iterative refinement
5-layer testing approach for agent validation including adversarial testing, security validation, and prompt injection resistance
Architectural style selection decision matrices, trade-off analysis, structural enforcement rules, and combination patterns. Load when choosing or evaluating architecture styles.
Comprehensive architecture patterns, methodologies, quality frameworks, and evaluation methods for solution architects. Load when designing system architecture or selecting patterns.
Canonical AT completeness gate — research-anchored 7-category taxonomy (C1-C7) + 15-item mechanical checklist. Paradigm-neutral. Drives acceptance-designer reviewer verdict deterministically.
Domain-specific authoritative source databases, search strategies by topic category, and source freshness rules
BDD patterns for acceptance test design - Given-When-Then structure, scenario writing rules, pytest-bdd implementation, anti-patterns, and living documentation
BDD requirements discovery methodology - Example Mapping, Three Amigos, conversational patterns, Given-When-Then translation, and collaborative specification
Structured divergent thinking techniques — HMW framing, SCAMPER, Crazy 8s mechanics, and option diversity guarantees. Enforces strict separation of generation and evaluation phases.
nWave concierge — ask any question about methodology, project state, commands, migration, or troubleshooting. Read-only, contextual answers.
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.
How the nWave buddy agent reads a project to answer questions — detection, order of inspection, and citation discipline.
Single Source of Truth detection — where truth lives in an nWave repo and how to avoid contradicting it.
Wave methodology knowledge for the buddy agent — what each wave does, its inputs and outputs, and how to route questions.
Bug fix workflow: root cause analysis → user review → regression test + fix via TDD
CI/CD pipeline design methodology, deployment strategies, GitHub Actions patterns, and branch/release strategies. Load when designing pipelines or deployment workflows.
Cross-agent collaboration protocols, workflow handoff patterns, and commit message formats for TDD/Mikado/refactoring workflows
Documentation collapse anti-patterns - detection rules, bad examples, and remediation strategies for type-mixing violations
Best practices for command definition files - size targets, declarative template, anti-patterns, and canonical examples based on research evidence
Step-by-step workflow for converting bloated command files to lean declarative definitions
Resumen de Subagents
Lo que la gente pregunta sobre nWave
¿Qué es nWave-ai/nWave?
nWave-ai/nWave es subagents para el ecosistema de Claude AI. AI agents that guide you from idea to working code, with you in control at every step. Tiene 622 estrellas en GitHub y su última actualización registrada es del 2026-09-16.
¿Cómo se instala nWave?
Puedes instalar nWave clonando el repositorio (https://github.com/nWave-ai/nWave) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar nWave-ai/nWave?
Nuestro agente de seguridad ha analizado nWave-ai/nWave y le ha asignado un Trust Score de 92/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene nWave-ai/nWave?
nWave-ai/nWave es mantenido por nWave-ai. La última actividad registrada en GitHub es del 2026-09-16, con 33 issues abiertos.
¿Hay alternativas a nWave?
Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.