swarm-planner▌
am-will/codex-skills · updated Apr 8, 2026
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Generates dependency-aware implementation plans optimized for parallel multi-agent execution.
- ›Creates atomic, independently executable tasks with explicit dependency declarations to maximize parallelization across agents
- ›Requires codebase investigation, documentation retrieval for external libraries, and clarifying questions before planning to eliminate ambiguity
- ›Structures plans with task IDs, dependency arrays, descriptions, file locations, and validation criteria; includes visual
Swarm-Ready Planner
Create implementation plans with explicit task dependencies optimized for parallel agent execution. This skill can be ran inside or outside of Plan Mode.
Core Principles
- Explore Codebase: Investigate architecture, patterns, existing implementations, dependencies, and frameworks in use.
- Fresh Documentation First: Use Context7 for ANY external library, framework, or API before planning tasks
- Ask Questions: Clarify ambiguities and seek clarification on scope, constraints, or priorities throughout the planning process. At any time.
- Explicit Dependencies: Every task declares what it depends on, enabling maximum parallelization
- Atomic Tasks: Each task is independently executable by a single agent
- Review Before Yield: A subagent reviews the plan for gaps before finalizing
Process
1. Research
Codebase investigation:
- Architecture, patterns, existing implementations
- Dependencies and frameworks in use
1a. Optional: Stop to Clarification Questions
- If the architecture is unclear or missing STOP AND YIELD to the user, and request user input (AskUserQuestions) before moving on. Always offer recommendations for clarification questions.
- If architecture is present, skip 1a and move onto next step.
2. Documentation
Documentation retrieval (REQUIRED for external dependencies):
Use Context7 skill or MCP to fetch current docs for any libraries/frameworks or APIs that are or will be used in project. If Context7 is not available, use web search.
This ensures version-accurate APIs, correct parameters, and current best practices.
3. STOP and Request User Input
When anything is unclear or could reasonably be done multiple ways:
- Stop and ask clarifying questions immediately
- Do not make assumptions about scope, constraints, or priorities
- Questions should reduce risk and eliminate ambiguity
- Always offer recommendations for clarification questions.
- Use request_user_input or AskUserQuestion tool if available.
4. Create Dependency-Aware Plan
Structure the plan with explicit task dependencies using this format:
Task Dependency Format
Each task MUST include:
- id: Unique identifier (e.g.,
T1,T2.1) - depends_on: Array of task IDs that must complete first (empty
[]for root tasks) - description: What the task accomplishes
- location: File paths involved
- validation: acceptance criteria
Example:
T1: [depends_on: []] Create database schema migration
T2: [depends_on: []] Install required packages
T3: [depends_on: [T1]] Create repository layer
T4: [depends_on: [T1]] Create service interfaces
T5: [depends_on: [T3, T4]] Implement business logic
T6: [depends_on: [T2, T5]] Add API endpoints
T7: [depends_on: [T6]] Write integration tests
Tasks with empty/satisfied dependencies can run in parallel (T1, T2 above).
4. Save Plan
Save to <topic>-plan.md in the CWD.
5. Subagent Review
After saving, spawn a subagent to review the plan:
Review this implementation plan for:
1. Missing dependencies between tasks
2. Ordering issues that would cause failures
3. Missing error handling or edge cases
4. Gaps, holes, gotchas.
Provide specific, actionable feedback. Do not ask questions.
Plan location: [file path]
Context: [brief context about the task]
If the subagent provides actionable feedback, revise the plan before yielding.
Plan Template
# Plan: [Task Name]
**Generated**: [Date]
## Overview
[Summary of task and approach]
## Prerequisites
- [Tools, libraries, access needed]
## Dependency Graph
[Visual representation of task dependencies] T1 ──┬── T3 ──┐ │ ├── T5 ── T6 ── T7 T2 ──┴── T4 ──┘
## Tasks
### T1: [Name]
- **depends_on**: []
- **location**: [file paths]
- **description**: [what to do]
- **validation**: [how to verify]
- **status**: Not Completed
- **log**: [leave empty, to be filled out later]
- **files edited/created**: [leave empty, to be filled out later]
### T2: [Name]
- **depends_on**: []
- **location**: [file paths]
- **description**: [what to do]
- **validation**: [how to verify]
- **status**: Not Completed
- **log**: [leave empty, to be filled out later]
- **files edited/created**: [leave empty, to be filled out later]
### T3: [Name]
- **depends_on**: [T1]
- **location**: [file paths]
- **description**: [what to do]
- **validation**: [how to verify]
- **status**: Not Completed
- **log**: [leave empty, to be filled out later]
- **files edited/created**: [leave empty, to be filled out later]
[... continue for all tasks ...]
## Parallel Execution Groups
| Wave | Tasks | Can Start When |
|------|-------|----------------|
| 1 | T1, T2 | Immediately |
| 2 | T3, T4 | Wave 1 complete |
| 3 | T5 | T3, T4 complete |
| ... | ... | ... |
## Testing Strategy
- [How to test]
- [What to verify]
## Risks & Mitigations
- [What could go wrong + how to handle]
Important
- Every task must have explicit
depends_onfield - Root tasks (no dependencies) can be executed in parallel immediately
- Do NOT implement - only create the plan
- Always use Context7 for external dependencies before finalizing tasks
- Always ask questions where ambiguity exists
How to use swarm-planner on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add swarm-planner
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches swarm-planner from GitHub repository am-will/codex-skills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate swarm-planner. Access the skill through slash commands (e.g., /swarm-planner) or your agent's skill management interface.
Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★51 reviews- ★★★★★Ren Khan· Dec 24, 2024
swarm-planner fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Maya Iyer· Dec 24, 2024
Registry listing for swarm-planner matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Chaitanya Patil· Dec 12, 2024
swarm-planner is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Jin Flores· Dec 12, 2024
We added swarm-planner from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Jin Torres· Dec 4, 2024
Useful defaults in swarm-planner — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Nia Choi· Nov 15, 2024
I recommend swarm-planner for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Diego Sanchez· Nov 15, 2024
swarm-planner reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Sofia Sanchez· Nov 11, 2024
swarm-planner is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Min Mensah· Nov 3, 2024
Keeps context tight: swarm-planner is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Carlos Park· Oct 22, 2024
swarm-planner has been reliable in day-to-day use. Documentation quality is above average for community skills.
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