Capture corrections and route insights to appropriate instruction files.
npx skills add https://github.com/wyattowalsh/agents --skill learn-wyattowalsh
Please help me install this Agent Skill. Skill: learn Source: https://github.com/wyattowalsh/agents/tree/main/skills/learn Command: npx skills add https://github.com/wyattowalsh/agents --skill learn-wyattowalsh
This Skill streamlines the process of capturing recurring insights, corrections, and patterns encountered during development, ensuring that valuable knowledge is systematically recorded and applied.
Use the learn skill to capture the correction "Always use uv instead of pip for Python package management".
High-intent search queries and answers about installing and using this skill.
To capture recurring code corrections and route them to project instructions, you record the insight using a knowledge management skill that automatically applies the correction to the appropriate instruction file based on scope, language, or project-specific standards for future reference.
Kaizen continuous improvement for AI agent instructions is an incremental error-proofing process where code conventions and pattern captures are systematically recorded and routed to instruction files, facilitating continuous maintenance and refinement of AI behavior.
You record a Python dependency management correction by capturing the specific pattern or convention, such as using uv instead of pip, allowing the system to route and integrate this learning directly into your Python convention instructions.
Yes, this knowledge management approach works with project-specific code conventions by intelligently routing captured insights and corrections to the correct instruction files based on the specific standards, scope, and language of your project.
The best way to maintain instruction files for continuous improvement is applying kaizen principles to systematically capture and route development insights, ensuring instructions are incrementally updated and error-proofed over time.
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sparkfabrikAudit AI agent configurations and LLM integrations for OWASP Top 10 security risks.
manutejRun observe-reason-create-verify-deploy-learn cycles to improve future behavior.
danielcopperTriage daily markdown logs to promote recurring themes into durable knowledge bases.
