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Capture user corrections, detect recurring mistakes, and suggest preventive workflow fixes.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "self-improve" yet — see the docs or source repo.
Please capture my recent corrections about answer format and wording, analyze whether they are recurring issues, and propose actionable preventive fixes such as new CLAUDE.md rules or skill instructions.
A log of corrections, recurring pattern analysis, and actionable rule or workflow improvement suggestions.
Summarize the user feedback in this conversation, identify the model’s most frequent mistakes, and recommend scripts, skills, or MCP tools to reduce repeat errors.
A categorized summary of error types with matching preventive remediation suggestions.
Based on the user’s repeated corrections, determine which prompt requirements I execute inconsistently and propose systematic fixes.
A list of execution drift patterns and improvement directions at the rule, script, or tool level.
Developers or researchers can log user corrections and identify frequent mistakes while using an AI assistant over time. It helps convert scattered feedback into rules, skills, or tool-level fixes.
Product managers or team leads can use it to review error patterns in interactions. Based on recurring issues, it suggests preventive measures to reduce repeated mistakes.
It captures user corrections and improvement feedback during interactions, logs them, and identifies recurring error patterns. It then suggests preventive fixes such as rules, skills, scripts, or MCP tools.
Based on the description, it can recommend preventive fixes such as CLAUDE.md rules, skills, scripts, or MCP tools. The goal is to avoid repeating the same mistakes.
The provided material does not include installation steps, runtime requirements, or API key prerequisites. See the source repository for setup details.
Capture coding feedback and sync learned preferences into project memory files.
Capture corrections from work sessions and automatically improve your AI skills.
Analyze and refine raw prompts into ready-to-use high-quality prompts.
Track past mistakes and fixes so AI avoids repeating failed approaches.
Build a self-correcting coding workflow that improves across repeated sessions.
Turn rough prompts into clearer, more detailed, and more effective AI instructions.