Generates dependency-aware implementation plans optimized for parallel multi-agent execution.
Works with
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
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionswarm-plannerExecute the skills CLI command in your project's root directory to begin installation:
Fetches swarm-planner from am-will/codex-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate swarm-planner. Access via /swarm-planner in your agent's command palette.
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 environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
0
total installs
0
this week
854
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
854
stars
Create implementation plans with explicit task dependencies optimized for parallel agent execution. This skill can be ran inside or outside of Plan Mode.
Codebase investigation:
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.
When anything is unclear or could reasonably be done multiple ways:
Structure the plan with explicit task dependencies using this format:
Each task MUST include:
T1, T2.1)[] for root tasks)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).
Save to <topic>-plan.md in the CWD.
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: [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]
depends_on fieldMake data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
ailabs-393/ai-labs-claude-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
pproenca/dot-skills
mattpocock/skills
swarm-planner fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Registry listing for swarm-planner matched our evaluation — installs cleanly and behaves as described in the markdown.
swarm-planner is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added swarm-planner from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in swarm-planner — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend swarm-planner for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
swarm-planner reduced setup friction for our internal harness; good balance of opinion and flexibility.
swarm-planner is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: swarm-planner is the kind of skill you can hand to a new teammate without a long onboarding doc.
swarm-planner has been reliable in day-to-day use. Documentation quality is above average for community skills.
showing 1-10 of 51