calibrate

Parse session logs to generate atomic patches for agent memory, settings, and rules.

10|1|Updated Jun 29, 2026

Search Tags:#automation #self-improvement #calibration #git-integration #agent-memory #workflow-optimization

Ready to run

npx skills add https://github.com/mishahanin/heading-os --skill calibrate-mishahanin

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: calibrate
Source: https://github.com/mishahanin/heading-os/tree/main/.claude/skills/calibrate
Command: npx skills add https://github.com/mishahanin/heading-os --skill calibrate-mishahanin

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python3, git, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This skill addresses the drift between your evolving preferences and the AI's current behavior by capturing session-end learnings and applying them as structural improvements to your workspace.

Core Features & Use Cases

Session Reflection: Automatically scans for corrections, preferences, and success patterns to refine agent behavior.
Atomic Patching: Proposes and applies numbered patches to memory, settings, skills, and rules with a single git commit.
Safety-First Routing: Automatically routes corporate-sensitive changes to a review queue, ensuring only safe, CEO-only updates are auto-applied.

Quick Start

Run the calibrate skill at the end of your session to capture and apply improvements to your agent configuration.

Frequently Asked Questions about calibrate

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

FAQPage Schema

How do I automate AI agent self-improvement from session history?▼

To automate AI agent self-improvement, you run the calibrate skill at the end of your session. It reflects on session logs to identify behavioral corrections and applies those learnings as patches to your agent's memory and rules.

What is the best way to update agent memory and settings automatically?▼

The best way to update agent memory and settings automatically is through atomic patching. The skill proposes numbered patches to your configurations and applies them in a single git commit to capture structural improvements.

Do I need git and python3 to apply behavioral patches to AI agent configurations?▼

Yes, you need git and python3 installed in your environment to apply behavioral patches. These dependencies are required to parse session logs, generate the configuration patches, and commit the updates to your project.

Can I safely apply automated workflow optimization to corporate-level agent rules?▼

You can safely apply automated workflow optimization because the skill uses safety-first routing. It automatically routes corporate-sensitive changes to a manual review queue, ensuring only safe updates are auto-applied.

Why does my AI agent behavior drift from my evolving preferences over time?▼

AI agent behavior drifts from your preferences because current configurations do not capture session-end learnings. The calibrate skill solves this by reflecting on your recent interactions and applying structural improvements to your workspace.