nWave
AI agents that guide you from idea to working code, with you in control at every step.
- 622 stars
- 66 forks
- 33 open issues
- Language: Python
- License: MIT
- updated
Install
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 in this repository
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
Subagents overview
What people ask about nWave
What is nWave-ai/nWave?
nWave-ai/nWave is subagents for the Claude AI ecosystem. AI agents that guide you from idea to working code, with you in control at every step. It has 622 GitHub stars and its last recorded update is dated 2026-09-16.
How do I install nWave?
You can install nWave by cloning the repository (https://github.com/nWave-ai/nWave) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is nWave-ai/nWave safe to use?
Our security agent has analyzed nWave-ai/nWave and assigned a Trust Score of 92/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains nWave-ai/nWave?
nWave-ai/nWave is maintained by nWave-ai. The last recorded GitHub activity is dated 2026-09-16, with 33 open issues.
Are there alternatives to nWave?
Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.