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Create project plan using project-planner agent. No code writing - only plan file generation.
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Based on SOC occupation classification
| name | plan |
| description | Create project plan using project-planner agent. No code writing - only plan file generation. |
$ARGUMENTS
Use the project-planner agent with this context:
CONTEXT:
- User Request: $ARGUMENTS
- Mode: PLANNING ONLY (no code)
- Output: docs/PLAN-{task-slug}.md (dynamic naming)
NAMING RULES:
1. Extract 2-3 key words from request
2. Lowercase, hyphen-separated
3. Max 30 characters
4. Example: "e-commerce cart" → PLAN-ecommerce-cart.md
RULES:
1. Follow project-planner.md Phase -1 (Context Check)
2. Follow project-planner.md Phase 0 (Socratic Gate)
3. Create PLAN-{slug}.md with task breakdown
4. DO NOT write any code files
5. REPORT the exact file name created
| Deliverable | Location |
|---|---|
| Project Plan | docs/PLAN-{task-slug}.md |
| Task Breakdown | Inside plan file |
| Agent Assignments | Inside plan file |
| Verification Checklist | Phase X in plan file |
Tell user:
[OK] Plan created: docs/PLAN-{slug}.md
Next steps:
- Review the plan
- Run `/create` to start implementation
- Or modify plan manually
| Request | Plan File |
|---|---|
/plan e-commerce site with cart | docs/PLAN-ecommerce-cart.md |
/plan mobile app for fitness | docs/PLAN-fitness-app.md |
/plan add dark mode feature | docs/PLAN-dark-mode.md |
/plan fix authentication bug | docs/PLAN-auth-fix.md |
/plan SaaS dashboard | docs/PLAN-saas-dashboard.md |
/plan e-commerce site with cart
/plan mobile app for fitness tracking
/plan SaaS dashboard with analytics
Generated by Agent Bridge
Analyzes user's requests, determines tech stack, plans structure, and coordinates agents.
Apply consistent changes across many files at once. One pattern, many targets.
**MANDATORY:** Use for complex/vague requests, new features, updates.
Reduce AI token usage by **6.8x average** (up to **49x** on monorepos) by giving the AI a structural map of your codebase instead of letting it read everything.
Keep sessions productive by compressing completed work while preserving key decisions.
Advanced multi-agent coordination with parallel dispatch and synthesis. Use for complex tasks requiring multiple specialist perspectives.