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continuous-learning

Extracts reusable patterns from Claude Code sessions and saves them as learned skills.

1|Updated Oct 11, 2025
Search Tags:#automation#debugging#claude code#pattern extraction#learned skills#stop hook#session evaluation
One-click install
npx skills add https://github.com/ibytechaos/claude --skill continuous-learning-ibytechaos
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: continuous-learning
Source: https://github.com/ibytechaos/claude/tree/main/plugins/everything-claude-code/skills/continuous-learning
Command: npx skills add https://github.com/ibytechaos/claude --skill continuous-learning-ibytechaos

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires jq.

What problem does it solve? Valuable problem-solving patterns discovered during Claude Code sessions are lost when the session ends, forcing users to rediscover the same fixes repeatedly. ## Core Features & Use Cases - Automatic Session Evaluation: Runs as a Stop hook at session end to detect extractable patterns without adding per-message latency. - Configurable Pattern Detection: Detects error resolutions, user corrections, workarounds, debugging techniques, and project-specific conventions via config.json thresholds. - Learned Skill Persistence: Saves extracted patterns to ~/.claude/skills/learned/ for reuse in future sessions. - Use Case: After a long debugging session where you resolved a tricky framework quirk, the Stop hook flags the session for pattern extraction so the workaround becomes a reusable learned skill. ## Quick Start Add the evaluate-session.sh script as a Stop hook in ~/.claude/settings.json and adjust config.json thresholds to start capturing reusable patterns from your sessions.

Frequently Asked Questions about continuous-learning

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

FAQPage Schema
How do I set up automatic pattern extraction from Claude Code sessions?▼

Add a Stop hook to ~/.claude/settings.json that runs the evaluate-session.sh script with matcher "*". The hook fires once at session end and signals whether the session contains extractable patterns.

What patterns does continuous learning detect in sessions?▼

It detects error resolutions, user corrections, workarounds for framework quirks, debugging techniques, and project-specific conventions. Simple typos, one-time fixes, and external API issues are ignored by default.

Why use a Stop hook instead of UserPromptSubmit for session evaluation?▼

The Stop hook runs once at session end, making it lightweight and non-blocking, while UserPromptSubmit runs on every message and adds latency. The Stop hook also has access to the complete session transcript.

Does the session evaluator work without jq installed?▼

Yes, the script falls back to default values (minimum 10 messages, default learned skills path) if jq is not installed. It prints a warning to stderr but continues running normally.

Why are short sessions skipped during pattern extraction?▼

Sessions below the minimum message count (default 10) rarely contain enough context to identify meaningful reusable patterns. You can lower min_session_length in config.json if you want shorter sessions evaluated.

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