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Swarm Planner

  • 4 installs
  • 224 repo stars
  • Updated April 18, 2026
  • am-will/swarms

This is a copy of swarm-planner by am-will - installs and ranking accrue to the original listing.

Swarm Planner is a Claude Code skill that creates dependency-aware implementation plans optimized for parallel multi-agent execution, without implementing them.

About

Swarm Planner is a Claude Code skill that creates implementation plans with explicit task dependencies optimized for parallel multi-agent execution. Each task declares an id, depends_on array, description, location, and validation, so root tasks can run in parallel and later tasks wait on their prerequisites. The skill only plans and does not implement, and it spawns a subagent to review the plan for missing dependencies and gaps before finalizing.

  • Creates dependency-aware plans with explicit depends_on per task for parallel execution
  • Requires fresh docs via Context7 for any external library before finalizing tasks
  • Spawns a subagent to review the plan for gaps before yielding; does not implement

Swarm Planner by the numbers

  • 4 all-time installs (skills.sh)
  • Data as of Aug 2, 2026 (Skillselion catalog sync)
At a glance

swarm-planner capabilities & compatibility

Capabilities
parallel task · super swarm · parallel task tmux
Works with
github
Use cases
planning · project management · research
From the docs

What swarm-planner says it does

Creates dependency-aware implementation plans optimized for parallel
SKILL.md
Do NOT implement - only create the plan
SKILL.md
Every task declares what it depends on, enabling maximum parallelization
SKILL.md
npx skills add https://github.com/am-will/swarms --skill swarm-planner

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Listed on Skillselion
Installs4
repo stars224
Last updatedApril 18, 2026
Repositoryam-will/swarms

What it does

Produce a dependency-aware, review-checked implementation plan that downstream swarm skills can execute in parallel.

Who is it for?

Developers who want a structured, parallelizable plan before running a swarm executor.

Skip if: Anyone wanting the plan implemented; this skill only produces the plan.

When should I use this skill?

You need a dependency-annotated plan.md to feed parallel-task or super-swarm.

What you get

A reviewed <topic>-plan.md with per-task depends_on, validation, and parallel execution waves.

  • <topic>-plan.md with per-task depends_on, location, and validation
  • parallel execution wave table
  • dependency graph

By the numbers

  • 6 core principles
  • 5-step planning process

Files

SKILL.mdMarkdownGitHub ↗

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

Related skills

FAQ

Does this skill write code?

No. Its instructions state Do NOT implement, only create the plan.

How does it ensure the plan is sound?

After saving, it spawns a subagent to review the plan for missing dependencies, ordering issues, and gaps before yielding.

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