Refine implementation plans by re-analyzing the codebase for gaps and dependencies.
npx skills add https://github.com/Ard2p/sk-bar-site --skill aif-improve-ard2p
Please help me install this Agent Skill. Skill: aif-improve Source: https://github.com/Ard2p/sk-bar-site/tree/main/.cursor/skills/aif-improve Command: npx skills add https://github.com/Ard2p/sk-bar-site --skill aif-improve-ard2p
Refine and enhance an existing implementation plan with a second iteration by re-analyzing the codebase, identifying gaps, missing tasks, and incorrect dependencies to boost overall plan quality.
Refine your current AI plan by triggering a second iteration to enhance task quality and coverage.
High-intent search queries and answers about installing and using this skill.
To refine an implementation plan, re-analyze the codebase to reveal missing tasks and incorrect dependencies. This second iteration enforces project-specific rules and loads patch context to boost plan quality with concrete codebase evidence.
You need a second iteration for AI plan refinement after generating an initial plan or fix, when you want to polish task definitions and edge-case coverage before implementation. It strengthens planning by validating against actual codebase evidence.
Yes, you can use codebase analysis to improve an existing development workflow plan by re-evaluating it against the repository. These context-aware adjustments apply project-specific conventions to tailor improvements and correct dependency mapping.
The best way to polish an AI-generated implementation plan is to trigger a second analysis pass against the codebase. This approach targets previously generated plans to strengthen task definitions, dependencies, and overall coverage with deep codebase evidence.
Yes, plan improvement works with existing AI-generated fix plans. It targets plans produced by previous planning or fixing commands and strengthens them by loading relevant patch context to guide improvements and enforce project-specific skill-context rules.
AI planning often misses edge cases and incorrect dependencies because it lacks deep codebase evidence. Re-analyzing the codebase in a second iteration reveals these gaps and strengthens the plan with project-specific context and accurate dependency corrections.
vulikjulikRefine implementation plans by detecting gaps, missing tasks, and incorrect dependencies.
greglambExecute written implementation plans with structured review, task tracking, and verification.
marinkobabicRefine implementation plans by analyzing codebase gaps and correcting task dependencies.
ze-softwareIdentify defects and gaps in Ze repository changes and report findings.
