self-improving

Name: self-improving
Availability: InStock
Author: Binatrix

Capture user corrections and reflections to generate actionable rules for future responses.

Updated Aug 23, 2026

Search Tags:#self-improvement #memory-management #ai-prompting #reflections #behavioral-rules #rule-capture

Ready to run

npx skills add https://github.com/BinatrixAI/tandem-marketplace --skill self-improving-binatrixai

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: self-improving
Source: https://github.com/BinatrixAI/tandem-marketplace/tree/main/plugins/tandem/skills/core/self-improving
Command: npx skills add https://github.com/BinatrixAI/tandem-marketplace --skill self-improving-binatrixai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Behavioral layer that captures user corrections and reflections to generate actionable rules, improving consistency and response quality over time.

Core Features & Use Cases

Captures explicit corrections and reflections and converts them into reusable rules stored in rules.md.
Manages rules through a three-tier system (rules.md, hot.md, cold.md) with auto-promotion when criteria are met and memory-audit for stale items.
Saves structured reflections to ~/self-improving/reflections/YYYY-MM-DD.md and maintains a usage meta.json.

Quick Start

Tell me to reflect on that task, and I will start a structured reflection and save it to ~/self-improving/reflections/.

Frequently Asked Questions about self-improving

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I capture AI behavior corrections and turn them into reusable rules?▼

To capture AI behavior corrections into reusable rules, simply provide explicit feedback during your conversation. The system automatically converts these corrections into actionable rules stored in a rules.md file to guide future responses.

What is the best way to automate memory management for personalized AI prompts?▼

Automating memory management for personalized AI prompts is handled through a three-tier file system. Rules auto-promote or demote between hot.md, cold.md, and rules.md based on usage, with memory audits removing stale items.

How do I save structured reflections for ongoing AI conversations?▼

To save structured reflections for ongoing conversations, instruct the assistant to reflect on a task. It generates a structured reflection and saves it directly to a dated markdown file in the reflections directory.

Does this self-improving behavior system require any external dependencies?▼

This self-improving behavior system requires no external dependencies. It operates entirely standalone, managing its rule formation, tier management, and memory auditing through local files.

Why do my AI assistant responses lack consistency over time?▼

AI assistant responses lack consistency over time when behavioral corrections are not captured. This system solves that by generating actionable rules from user reflections to maintain consistent response quality across sessions.

When should I not use an automated rule-capture system for AI prompting?▼

You should not use an automated rule-capture system for one-off tasks requiring no personalization. It is designed for ongoing conversations where accumulating behavioral rules and memory auditing improves long-term consistency.