Can it recover from task failures during execution?

Yes, it includes built-in recovery patterns such as exponential backoff retries, reassignment to different agents, and task decomposition for complex errors.

How does it handle task dependencies?

The skill creates a visual dependency graph to identify bottlenecks and determine which tasks can safely run in parallel versus which must wait for previous stages to finish.

Which agent types does this skill support?

It utilizes four specialized roles: Explore for research, Plan for architecture, Bash for command execution, and Edit for file modifications.

What is a Multi-Agent Workforce Planner?

It is a skill that organizes complex development tasks into parallel workstreams for multiple AI agents to execute simultaneously, maximizing development speed.

When should I use this skill over standard coding?

It is best used when breaking down 'Epics' or large features that span multiple files and require coordinated design, implementation, and testing phases.

Multi-Agent Workforce Planner

Name: Multi-Agent Workforce Planner
Author: organvm-iv-taxis

byorganvm-iv-taxis

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Productivity & Workflow

Coordinates complex software development by decomposing large features into parallelized workstreams for specialized AI agents.

The Multi-Agent Workforce Planner is an advanced skill designed to maximize development throughput by breaking down large, complex feature sets into manageable, parallel tasks. It analyzes code dependencies to create efficient execution plans and assigns specialized agent roles—Explore, Plan, Bash, and Edit—to the most appropriate tasks. This skill is essential for orchestrating multi-file implementations, managing complex dependency chains, and implementing robust failure recovery patterns within an AI-driven development workflow, ensuring high-velocity delivery with clear progress tracking.

Key Features

012 GitHub stars

02Advanced failure recovery patterns including retries, reassignments, and checkpoints

03Automated dependency graph generation for complex feature sets

04Real-time progress tracking with visual status bars and task states

05Multi-layered parallelization strategies including Horizontal and Vertical scaling

06Specialized agent role assignment (Explore, Plan, Bash, Edit)

Use Cases

01Accelerating codebase refactoring by distributing tasks across multiple specialized agents

02Coordinating frontend and backend development simultaneously through interface-first planning

03Implementing large-scale authentication systems or multi-service backend features

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add organvm-iv-taxis/a-i--skills multi-agent-workforce-planner

For use in Claude.ai and ChatGPT

Download Skill