Analyze project context and patches to propose skill improvements.
npx skills add https://github.com/Svarog83/php-log-monitor --skill aif-evolve-svarog83
Please help me install this Agent Skill. Skill: aif-evolve Source: https://github.com/Svarog83/php-log-monitor/tree/main/.cursor/skills/aif-evolve Command: npx skills add https://github.com/Svarog83/php-log-monitor --skill aif-evolve-svarog83
The skill helps teams continuously improve AI Factory skills by analyzing project context, accumulated patches, and codebase patterns to create smarter, more context-aware capabilities.
Run the evolution command to analyze the current project and propose improvements based on patches and conventions.
High-intent search queries and answers about installing and using this skill.
AI coding skills evolve by analyzing accumulated project patches and codebase patterns to extract recurring error rules. The system uses this patch data to generate preventative guardrails and propose targeted enhancements for existing AI workflows.
Context-driven skill evolution tailors AI coding improvements to a project's specific tech stack and conventions. It analyzes metadata and existing skill definitions to generate guarded, traceable capability enhancements across evolving codebases.
Generating guardrails for AI workflows involves analyzing project context and patch data to identify behavioral gaps. It produces concrete improvement steps and preventative rules guiding fix, implement, plan, and review tasks.
Yes, analyzing codebase patterns for skill improvement requires project metadata from DESCRIPTION.md, patch data from .ai-factory/patches, and existing definitions from SKILL.md. These files provide the context needed to generate traceable evolutions.
Yes, incremental AI skill enhancements apply to multi-project repositories and evolving codebases. The system analyzes shared patches and project conventions to guide targeted improvements across distinct project environments.
Preventing recurring errors in AI-generated code uses patch-driven learning to extract past mistakes and create preventative rules. This mechanism analyzes historical patch data to build smarter, context-aware guardrails.
YaroslavKomarovAnalyzes project patches and context to generate SKILL.md improvement plans.
hightempAnalyze project context and patches to improve AI Factory skills.
afterworkAnalyze patches and codebase patterns to update aif-* skill-context rules.
o2b3kAnalyze project patches to iteratively improve AI Factory skill logic.
