Facilitate collaborative code change planning with Claude and Gemini CLI.
npx skills add https://github.com/PatientVibes/agent-skills --skill co-plan
Please help me install this Agent Skill. Skill: co-plan Source: https://github.com/PatientVibes/agent-skills/tree/main/plugins/co-plan/skills/co-plan Command: npx skills add https://github.com/PatientVibes/agent-skills --skill co-plan
This Skill enables collaborative planning with Gemini CLI, providing a second-opinion for complex changes, reducing the risk of missed dependencies and incorrect approaches.
To start planning, type /co-plan.
High-intent search queries and answers about installing and using this skill.
You can use collaborative planning to get a second opinion by having Claude draft a plan and Gemini critique it. This iterative loop identifies missed dependencies, incorrect ordering, and codebase constraints to reduce risks in complex architectural changes.
Yes, you need the Gemini CLI installed, authenticated, and available on your system PATH. It is required to execute the collaborative planning loop and provide iterative reviews of your code change plans.
The best way is an iterative planning process where an initial draft is reviewed for missed dependencies, incorrect ordering, and risks. This loop repeats with feedback for improvement until the plan converges, ensuring complex migrations are thoroughly validated.
Yes, collaborative planning is designed for multi-step migrations and complex plans. The review process specifically checks for missed dependencies, codebase constraints, and verification steps, providing iterative feedback until the plan is robust.
The iterative feedback loop works by having Claude draft a plan and Gemini critique it. This cycle of drafting, reviewing for risks and constraints, and revising repeats until convergence, ensuring the final plan is solid.
The primary limitation is the dependency on Gemini CLI being installed and authenticated on your PATH. Additionally, the process requires multiple iterations to reach convergence, which may not be efficient for trivial or simple code modifications.
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