
Swarm Planner
[EXPLICIT INVOCATION ONLY] Creates dependency-aware implementation plans optimized for...
Install
npx skills add am-will/codex-skills --skill swarm-planner -g -a claude-code -y- Repository
- am-will/codex-skills1k
- Category
- AI and agents
- Updated
- 4mo ago
- License
- See repository
- Context cost
- Lightabout 1,313 tokens
- Runs scripts
- No, instructions only
What it does
[EXPLICIT INVOCATION ONLY] Creates dependency-aware implementation plans optimized for parallel multi-agent execution.
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.

