Decompose coding prompts into structured execution plans with schema validation.
npx skills add https://github.com/gaasher/Agent-Loop-Skills --skill plan-loop-gaasher
Please help me install this Agent Skill. Skill: plan-loop Source: https://github.com/gaasher/Agent-Loop-Skills/tree/main/loops/plan-loop Command: npx skills add https://github.com/gaasher/Agent-Loop-Skills --skill plan-loop-gaasher
This Skill helps engineers and developers transform high-level coding prompts into detailed, executable plans, streamlining the development process and ensuring clear communication between team members.
Use the plan-loop skill to create a plan for a new feature in your project. Provide the feature prompt and the project repository.
High-intent search queries and answers about installing and using this skill.
To decompose coding prompts into executable plans, you provide a high-level feature prompt and project repository. The system breaks it down into structured objectives, components, and tasks validated by a principal engineer critique for junior engineer execution.
Principal engineer review is a critique mechanism that validates coding plan quality and alignment with objectives before execution. It ensures the decomposed tasks and dependencies are structured effectively for junior engineers or lower-tier models.
Yes, you need Python 3.9 or higher to generate coding plans from feature prompts. The schema validation and prompt decomposition mechanisms require this Python environment to function properly.
Yes, you can use prompt decomposition for lower-tier AI models in software development. The process breaks high-level coding prompts into detailed, manageable tasks and components specifically structured for execution by lower-tier models or junior engineers.
The best way to structure coding plans for junior engineers is to break down feature prompts into objectives, components, tasks, and dependencies, followed by a principal engineer review. This schema-validated approach ensures plan quality and alignment with project goals.
Prompt decomposition requires schema validation during plan generation to ensure the structured output meets quality standards and correctly maps objectives, components, tasks, and dependencies. This prevents execution errors before the plan reaches junior engineers.
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