Analyze project patches to iteratively improve AI Factory skill logic.
npx skills add https://github.com/o2b3k/idomarketingbot --skill aif-evolve-o2b3k
Please help me install this Agent Skill. Skill: aif-evolve Source: https://github.com/o2b3k/idomarketingbot/tree/main/.claude/skills/aif-evolve Command: npx skills add https://github.com/o2b3k/idomarketingbot --skill aif-evolve-o2b3k
This skill addresses the challenge of AI stagnation by systematically analyzing past mistakes, project-specific patterns, and codebase conventions to enhance the intelligence of your AI Factory workflow.
Run the aif-evolve skill to analyze all recent patches and update your project-specific AI rules.
High-intent search queries and answers about installing and using this skill.
Automated AI behavior improvement analyzes project-level patches and codebase patterns to iteratively refine operational logic. It processes historical bug fixes to generate project-specific rules that override generic defaults.
Incremental patch analysis is a mechanism that processes historical codebase patches to identify recurring bugs and systemic issues. It applies rule-based guardrails to ensure context-aware skill evolution within software development workflows.
Updating project-specific AI rules requires running a skill evolution process that detects and resolves conflicts between base skill instructions and project-specific overrides. This generates updated rules reflecting your unique environment.
Self-improvement for AI Factory skills requires no external dependencies. It operates internally by applying rule-based guardrails and incremental patch processing to achieve automated, context-aware skill evolution.
Automated skill evolution is used when software development workflows require continuous refinement of AI behavior. It is necessary for overcoming AI stagnation by systematically learning from past mistakes and project conventions.
Stale rule management handles conflicting AI instructions by detecting and resolving conflicts between base skill instructions and project-specific overrides. This ensures operational logic remains aligned with current codebase patterns.
horizontalsystemsAnalyze patches and codebase patterns to generate improvement recommendations for AI Factory skills.
RepairYourTechEnforce universal design correction rules to prevent generic AI-generated patterns.
ArtemYurovAnalyze patches and codebase patterns to iteratively refine AI Factory skills.
zskulcsarEnforce a protocol for identifying and utilizing available Skills before responding.
