NW-NEW: Start a New Feature
SkillDev toolsGuided wizard to start a new feature. Asks what you want to build, recommends the right starting wave, and launches it.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the NW-NEW: Start a New Feature skill
What this skill tells your AI
The instructions your AI receives, as published by nwave-ai/nwave in nWave/skills/nw-new/SKILL.md and read by ahel’s review.
Wave: CROSS_WAVE (entry point)
Agent: Main Instance (self — wizard)
Command: /nw-new
Overview
Conversational wizard that asks the user to describe their feature|classifies it|recommends a starting wave|launches it. Eliminates need to understand the 6-wave pipeline before using nWave.
You (the main Claude instance) run this wizard directly. No subagent delegation.
Behavior Flow
Step 1: Feature Description Intake
Ask the user to describe what they want to build. If provided as argument, use that.
If vague (fewer than 3 meaningful words or unclassifiable):
- Ask: What system is being changed?
- Ask: What problem are you solving?
- Ask: Who benefits from this change?
- Provide example: "Add rate limiting to prevent API abuse"
Do NOT proceed until you have a clear, actionable description.
Step 2: Feature ID Derivation
Derive feature ID per rules in ~/.claude/nWave/skills/common/wizard-shared-rules.md (section: Feature ID Derivation).
Examples: "Add rate limiting to the API gateway" -> rate-limiting-api-gateway | "OAuth2 upgrade" -> oauth2-upgrade | "Implement a real-time notification system with WebSocket support for mobile and desktop clients" -> real-time-notification-system-websocket
Show derived ID via AskUserQuestion. Allow override with custom value.
Step 3: Name Conflict Check
Check if docs/feature/{feature-id}/ exists. If so, offer via AskUserQuestion:
- Continue that project — switch to
/nw-continue - Start fresh with different name — ask for distinguishing name
- Archive and restart — move to
docs/feature/{feature-id}-archived-{date}/
Step 4: Clarifying Questions
Use AskUserQuestion:
Q1: New or existing behavior?
- New functionality that doesn't exist yet
- Changing/improving existing functionality
- Fixing a bug or regression
Q2: Requirements readiness?
- Clear requirements in my head but nothing written
- Rough idea, need to explore further
- Haven't validated whether problem is worth solving
Step 5: Feature Classification
Based on description and answers, classify:
- User-facing — UI/UX visible to end users
- Backend — APIs, services, data processing
- Infrastructure — DevOps, CI/CD, tooling
- Cross-cutting — Spans multiple layers (auth, logging, etc.)
Show classification for user confirmation.
Step 6: Greenfield vs Brownfield Detection
Scan filesystem:
- Check if
src/or equivalent has code - Check if
docs/feature/has prior feature directories - Check for existing test directories
No source code and no prior features -> greenfield | Otherwise -> brownfield
Step 7: Wave Recommendation
Decision tree:
IF "fixing a bug":
-> /nw-root-why ("Investigate the root cause first")
IF "haven't validated the problem":
-> /nw-discover ("Validate the problem space before building")
IF "rough idea, need to explore":
-> /nw-discuss ("Define requirements and acceptance criteria")
IF "clear requirements, nothing written":
-> /nw-discuss ("Formalize requirements into user stories")
IF existing DISCUSS artifacts found:
-> /nw-design ("Requirements exist, design the architecture")
IF existing DESIGN artifacts found:
-> /nw-distill ("Architecture exists, create acceptance tests")
IF all prior waves complete:
-> /nw-deliver ("Ready for implementation")
DEFAULT:
-> /nw-discuss ("Start by defining what to build")
Show recommendation with rationale via AskUserQuestion: recommended wave command|why this wave (one sentence)|what it produces.
Step 8: Launch
After user confirms, create project directory:
mkdir -p docs/feature/{feature-id}
Invoke recommended wave command by reading its task file and following instructions, passing feature ID as argument.
Error Handling
| Error | Response |
|---|---|
| Vague description (< 3 meaningful words) | Ask follow-up questions with example |
| Name conflict with existing project | Offer continue/rename/archive options |
| User cannot classify feature type | Default to "cross-cutting", note uncertainty |
| No clear wave recommendation | Default to DISCUSS with explanation |
Success Criteria
- User described feature in plain language
- Project ID derived and confirmed by user
- No name conflicts (or resolved)
- Feature classified by type
- Starting wave recommended with rationale
- User confirmed recommendation
- Wave command launched with correct feature ID
Examples
Example 1: Greenfield backend feature
/nw-new "Add rate limiting to the API gateway"
Derives rate-limiting-api-gateway, detects no prior artifacts (greenfield), asks clarifying questions. User says "new functionality, clear requirements." Recommends DISCUSS, launches /nw-discuss "rate-limiting-api-gateway".
Example 2: Bug fix
/nw-new "Fix authentication timeout errors"
Detects "fix" in description. User confirms bug. Recommends /nw-root-why "authentication timeout errors".
Example 3: Unclear problem
/nw-new "Build a customer feedback system"
User says they haven't validated whether customers want this. Recommends DISCOVER, launches /nw-discover "customer-feedback-system".
Signals
- GitHub stars
- 610
- Forks
- 64
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
nw-new- Source
- github.com/nwave-ai/nwave