swarm-planner

am-will/codex-skills · updated Apr 8, 2026

$npx skills add https://github.com/am-will/codex-skills --skill swarm-planner
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summary

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
skill.md

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

  1. Explore Codebase: Investigate architecture, patterns, existing implementations, dependencies, and frameworks in use.
  2. Fresh Documentation First: Use Context7 for ANY external library, framework, or API before planning tasks
  3. Ask Questions: Clarify ambiguities and seek clarification on scope, constraints, or priorities throughout the planning process. At any time.
  4. Explicit Dependencies: Every task declares what it depends on, enabling maximum parallelization
  5. Atomic Tasks: Each task is independently executable by a single agent
  6. 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_on field
  • 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

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.751 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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