Analyze project patches and codebase patterns to generate skill-context rules.
npx skills add https://github.com/vulikjulik/DeepLom --skill aif-evolve-vulikjulik
Please help me install this Agent Skill. Skill: aif-evolve Source: https://github.com/vulikjulik/DeepLom/tree/main/.opencode/skills/aif-evolve Command: npx skills add https://github.com/vulikjulik/DeepLom --skill aif-evolve-vulikjulik
Generic out-of-the-box AI Factory skills do not account for project-specific patterns, past mistakes, and coding conventions, leading to repeated errors and suboptimal AI performance when working on your codebase.
Invoke the aif-evolve skill with your target skill name or the argument "all" to analyze your project's patches and codebase conventions, then automatically update your installed AI Factory skills with project-specific rules to reduce recurring mistakes.
High-intent search queries and answers about installing and using this skill.
To stop AI from repeating coding mistakes, you can analyze project patches to extract actionable prevention rules. This process updates AI skill-context files with guard rules, ensuring past bug fixes inform future AI-generated code without modifying base files.
Self-improving AI aligns with codebase conventions by scanning linter configs, error handling patterns, and file structures. It generates project-specific rules that make AI smarter incrementally, aligning outputs with your team's actual standards.
You update AI skills by invoking an evolution process that analyzes patch files and extracts prevention points. It writes these project-specific rules directly into skill-context files, adding traceable guard rules based on evidence from your patches.
Yes, you can evolve all installed AI Factory skills at once by passing an argument to analyze your codebase patterns and patches. This performs a full evolution, updating all compatible skills with project-specific prevention rules simultaneously.
No, evolving AI skills does not modify the original base skill files. It automatically writes project-specific rules to separate skill-context files, ensuring all improvements are layered on top without altering the foundational skill instructions.
The best way to prevent recurring null reference errors is to analyze past bug fix patches. This extracts a guard rule that checks for nullable fields before access, adding it to the relevant AI skill to eliminate future occurrences.
marinkobabicAnalyze past project patches to update project-level AI skill rules.
lee-toAnalyze patches and codebase patterns to write project-specific skill-context rules.
VeronikaVashkevichAnalyze patches and project context to generate testable improvements for aif-* skills.
o2b3kAnalyze project patches to iteratively improve AI Factory skill logic.
