planner

Generate structured multi-agent execution plans from natural language software specifications.

Updated Mar 7, 2026
One-click install
npx skills add https://github.com/MassimilianoPili/agent-framework --skill planner-massimilianopili
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: planner
Source: https://github.com/MassimilianoPili/agent-framework/tree/main/.claude/agents/planner
Command: npx skills add https://github.com/MassimilianoPili/agent-framework --skill planner-massimilianopili

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill breaks down complex natural language software specifications into actionable, multi-agent execution plans, ensuring a structured and efficient development process.

Core Features & Use Cases

  • Automated Plan Generation: Creates detailed execution plans with tasks, dependencies, and worker assignments from a given specification.
  • Contract-First Enforcement: Prioritizes API contract definition before implementation tasks.
  • Middle-Layer Task Integration: Automatically includes context and schema manager tasks for enriched agent input.
  • Use Case: Provide a feature request like "Implement user authentication with JWT" and receive a complete, ordered plan for backend, frontend, and testing tasks.

Quick Start

Use the planner skill to generate an execution plan for the following specification: "Create a REST API for managing user profiles with CRUD operations."

Frequently Asked Questions about planner

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I decompose software specifications into multi-agent execution plans?

Multi-agent execution plans are generated by breaking down natural language software specifications into structured tasks, dependencies, and worker assignments using a contract-first development pattern.

What is contract-first development in automated workflow orchestration?

Contract-first development enforces API contract definition before implementation tasks, ensuring backend, frontend, and AI workers receive structured dependencies and schema context prior to execution.

How do I generate task decomposition with DAG dependency structures for feature requests?

Task decomposition with DAG dependency structures is generated by parsing natural language feature requests, automatically sequencing contract, context, schema, and review tasks into an ordered execution plan.

Can I use automated plan generation for full-stack REST API CRUD operations?

Automated plan generation supports full-stack REST API CRUD operations by outputting a complete, ordered plan that allocates tasks across backend, frontend, and testing agents.

Does workflow automation require middle-layer task integration for agent frameworks?

Workflow automation includes middle-layer task integration by automatically injecting context and schema manager tasks, which enriches agent input and enforces the DAG dependency structure.

What are the limitations of natural language specification parsing for task decomposition?

Natural language specification parsing requires clearly defined software requirements to accurately enforce contract-first patterns and output valid DAG dependency structures for multi-agent orchestration.