Sinapsis Learning

Observe Claude Code sessions, detect error patterns, and inject learned insights.

20|15|Updated May 7, 2026

Search Tags:#AI learning #Claude Code #session analysis #code intelligence #skill enhancement

Ready to run

npx skills add https://github.com/iamasters-academy/iamasters-os --skill sinapsis-learning

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: Sinapsis Learning
Source: https://github.com/iamasters-academy/iamasters-os/tree/main/vendor/sinapsis/skills/sinapsis-learning
Command: npx skills add https://github.com/iamasters-academy/iamasters-os --skill sinapsis-learning

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides continuous learning capabilities for Claude Code, enhancing the intelligence of AI sessions by observing, learning, and adapting from past interactions.

Core Features & Use Cases

Session Observation: Tracks tool usage and outcomes to learn from each session.
Error Pattern Detection: Identifies and learns from error patterns to improve future sessions.
Instinct Injection: Automatically injects learned insights into future sessions for better performance.
User Interaction: Allows users to review and accept or reject proposed instincts.
Integration with /evolve: Promotes mature instincts to reusable skills, commands, or rules.
Use Case: For a developer using Claude Code, this Skill can learn from coding sessions to suggest improvements or shortcuts, ultimately leading to more efficient coding practices.

Quick Start

Run the /analyze-session command to review session proposals and accept or reject instincts.

Frequently Asked Questions about Sinapsis Learning

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

FAQPage Schema

How do I enable continuous learning for Claude Code to improve AI session intelligence?▼

Continuous learning for Claude Code is enabled by observing tool usage and outcomes, detecting error patterns, and injecting learned insights into future sessions. This allows the AI to adapt and improve coding practices automatically.

What is session analysis in AI-powered coding and how does it detect error patterns?▼

Session analysis in AI-powered coding tracks interactions to identify recurring error patterns. By evaluating tool usage and outcomes, it extracts learned insights that can be reviewed and applied to prevent similar errors in future sessions.

How do I review and apply learned instincts from Claude Code session analysis?▼

To review learned instincts, run the /analyze-session command. This evaluates session proposals and allows you to accept or reject the learned insights before they are automatically injected into future coding sessions.

Do I need Python to run continuous learning and session analysis for Claude Code?▼

Yes, Python is required for continuous learning and session analysis. It handles the data processing and storage needed to track tool usage, detect error patterns, and manage the learned insights.

How does Claude Code integrate learned instincts into reusable skills?▼

Claude Code integrates learned instincts by using the /evolve command. This command promotes mature, accepted instincts into reusable skills, commands, or rules, ensuring continuous skill enhancement across sessions.

Can I manually reject proposed instincts during session analysis in Claude Code?▼

Yes, you can manually reject proposed instincts during session analysis. The user interaction feature allows you to review session proposals via the /analyze-session command and accept or reject the learned insights before they are applied.