self-improving-agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.
ABOUT THIS WORKFLOW
This "Self-Improving Agent" workflow empowers your AI assistant to learn from its mistakes and improve over time. It provides a structured system for capturing errors, user corrections, feature requests, and newly discovered best practices, ultimately leading to a more reliable and capable AI partner.
The workflow utilizes simple Markdown files to log learnings, categorized as errors, general learnings, or feature requests. It also outlines a clear process for promoting broadly applicable knowledge to core agent configurations. By consistently documenting and reviewing these logs, you can guide your AI towards optimal performance and prevent recurring issues.
This workflow is particularly valuable for developers and power users who are building complex applications or workflows with AI assistants and want to proactively manage their AI's development and ensure consistent improvement.