Can I use other AI models like Gemini or Codex with this skill?

Yes, it supports optional integration with Gemini and Codex CLIs to provide multi-source validation and research for implementation patterns.

When is the Multi-AI Planning skill most effective?

It is best for complex features involving more than 8 tasks, multi-step migrations, or projects where quality and verification gates are critical.

How does the skill handle execution failures?

It implements a checkpoint system using Git tags and patches, allowing agents to resume from the last successful step or roll back safely.

What makes this planning skill different from a standard task list?

It uses a verification-first approach and hierarchical decomposition to ensure plans are granular, schema-validated, and optimized for parallel AI execution.

Multi-AI Project Planning

Name: Multi-AI Project Planning
Author: adaptationio

byadaptationio

生産性とワークフロー

Generates rigorous, agent-executable project plans using hierarchical decomposition and multi-LLM research integration.

概要

Multi-AI Planning transforms complex objectives into structured, validated execution roadmaps designed specifically for AI agents. By utilizing a verification-first approach and recursive task decomposition, it ensures that every step of a migration, refactoring, or feature development project is mapped with explicit dependencies and quality gates. The skill optionally leverages insights from Claude, Gemini, and Codex to ground plans in industry best practices, providing a highly coordinated workflow that supports parallel execution and safe rollback points through automated Git checkpointing.

主な機能

Hierarchical task decomposition for atomic, executable steps
Multi-AI research integration (Claude, Gemini, and Codex)
0 GitHub stars
Dependency mapping with parallel execution optimization
Rigorous quality gates with standardized scoring (≥90/100)
Git-integrated checkpointing for safe resumption and rollbacks

ユースケース

Planning large-scale system migrations or complex code refactorings
Implementing security-critical updates requiring multi-layer verification
Coordinating multi-agent workflows for feature development

概要

主な機能

Hierarchical task decomposition for atomic, executable steps
Multi-AI research integration (Claude, Gemini, and Codex)
0 GitHub stars
Dependency mapping with parallel execution optimization
Rigorous quality gates with standardized scoring (≥90/100)
Git-integrated checkpointing for safe resumption and rollbacks

ユースケース

Planning large-scale system migrations or complex code refactorings
Implementing security-critical updates requiring multi-layer verification
Coordinating multi-agent workflows for feature development