Definition of Ready checklist criteria, antipattern detection patterns, UAT quality rules, and domain language enforcement for product owner review
npx skills add https://github.com/nWave-ai/nWave --skill nw-dor-validation
All items must PASS with evidence. Each FAIL blocks handoff.
Domain language (not technical), describes real user pain, testable.
Pass: "Maria wastes 30 seconds typing credentials on every visit"
Fail: "Users need authentication" | "Implement login feature"
Real name, specific role, clear context.
Pass: "Maria Santos, returning customer (2+ orders), using trusted MacBook"
Fail: "User" | "Customer" | "End user" | "Authenticated user"
Min 3 examples, real names (not user123), real values, different scenarios (happy/edge/error).
Pass: "Example 1: Maria on MacBook, 5 days since login, goes to dashboard"
Fail: "User logs in successfully" | "Test with valid credentials"
Given/When/Then format, 3-7 scenarios, real data, covers happy + edge.
Pass: "Given Maria authenticated on 'MacBook-Home' 5 days ago..."
Fail: "Test login works" | "Given a user When they login Then success"
Checkable (checkbox), traceable to UAT, outcome-focused (not implementation).
Pass: "Sessions older than 30 days require re-authentication"
Fail: "Use JWT tokens" | "System should work correctly"
Effort estimate provided, scenario count in range, single demonstrable outcome.
Pass: 2 days, 5 UAT scenarios, demoed in single session
Fail: >7 scenarios | >3 days | multiple distinct outcomes
Dependencies listed, risks identified, architectural considerations noted.
Pass: "Requires JWT token storage, GDPR cookie consent integration"
Fail: no technical notes section
Blocking deps identified, resolution status clear, escalation path.
Pass: "Depends on US-041 (completed) and Auth service API (available)"
Fail: "Needs some API - TBD"
Signal: starts with "Implement", "Add", "Create", "Build", "Develop"
Detection: ^(Implement|Add|Create|Build|Develop)\s | Fix: rewrite as user pain
Signal: user123, [email protected], foo, bar, lorem, placeholder
Detection: user[0-9]+, test@, example@, foo, bar | Fix: real names -- Maria Santos
Signal: AC describes implementation not outcome
Detection: "Use JWT", "Implement using", "Database should", "API must return"
Fix: outcome focus -- "Session persists for 30 days"
Signal: >7 scenarios | >3 days | multiple distinct outcomes | Fix: split by user outcome
Signal: no "Example" section | <3 examples | abstract examples | Fix: add 3+ with real data
Signal: "Tests to be added", "Will write tests later", "Tests TBD" | Fix: UAT first, RED first
Signal: "User", "Customer", "End user" as persona | Fix: "Maria Santos, returning customer (2+ orders)"
Signal: all success scenarios, no errors, no boundaries | Fix: add expired session, invalid device, etc.
Format: Given/When/Then with complete sentences. Fail: "Test login", "Given user When login Then success"
Real Data: real names, values, scenarios. Fail: "Given user123", "When X happens"
Coverage: min 1 happy path + 1 edge + 1 error. Range: 3-7 scenarios.
Technical Jargon: flag in user-facing sections: JWT, API, database, backend, frontend, microservice, REST, HTTP, JSON, SQL. Exception: Technical Notes section. Fix: "session token" -> "remember me"
Generic Language: flag "the system", "the application", "functionality", "feature". Fix: use specific names -- "the login page" -> "the welcome screen"
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.
Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Take nwave-ai/nw-dor-validation from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.