continuous-learning-v2

Convert Claude Code session observations into atomic instincts with confidence scoring.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/nhouseholder/nicks-claude-code-superpowers --skill continuous-learning-v2-nhouseholder
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: continuous-learning-v2
Source: https://github.com/nhouseholder/nicks-claude-code-superpowers/tree/main/skills/continuous-learning-v2
Command: npx skills add https://github.com/nhouseholder/nicks-claude-code-superpowers --skill continuous-learning-v2-nhouseholder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Captures Claude Code session observations via hooks and converts them into atomic instincts with confidence scoring, enabling faster learning and automation across projects.

Core Features & Use Cases

  • Instinct-based learning: convert session patterns into atomic, score-weighted instincts.
  • Project-scoped to global: isolate instincts per project and promote successful patterns globally.
  • Evolution pipeline: evolve instincts into skills, commands, and agents for repeatable workflows.
  • Background observation: hook-based capture ensures continuous knowledge growth with minimal manual input.

Quick Start

Enable the Stop hook for automatic observations and run the evolve workflow to bootstrap initial instincts.

Frequently Asked Questions about continuous-learning-v2

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

FAQPage Schema
How do I capture Claude Code session observations automatically?

You can capture Claude Code session observations automatically by enabling the Stop hook, which runs a background observation system to gather knowledge with minimal manual input and ensures continuous growth across sessions.

What are atomic instincts with confidence scoring in machine learning?

Atomic instincts with confidence scoring are score-weighted behavioral patterns converted from session observations to guide actions. They enable faster learning and automation by applying score-weighted decision-making across multiple projects.

How do I promote project-scoped instincts to global patterns across repositories?

You promote project-scoped instincts to global patterns using built-in commands that evolve and promote successful instincts. This enables durable learning across multiple repositories by isolating instincts per project and providing a path to global promotion.

Does continuous learning work across multiple projects and repositories?

Continuous learning works across multiple projects by storing per-project instincts under a local directory and allowing successful patterns to be promoted globally. This isolation and promotion pipeline enables durable learning across multiple repositories.

Can I export and import instincts between different development environments?

Yes, you can export and import instincts between different development environments using the system's built-in commands. These commands expose functionality to evolve, export, import, and promote instincts across your various project workflows.