skills.rest
krishnakanthb13
krishnakanthb13COMMUNITY
Explore all skills by this author →
Website𝕏@KrishnaKanthB13GitHub

continuous-learning-v2

Transforms session observations into confidence-weighted instincts and evolves them into skills, commands, and agents.

89|19|Updated Feb 9, 2026
Search Tags:#automation#learning#agents#observations#instincts#local-storage
One-click install
npx skills add https://github.com/krishnakanthb13/everything-antigravity --skill continuous-learning-v2-krishnakanthb13
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: continuous-learning-v2
Source: https://github.com/krishnakanthb13/everything-antigravity/tree/main/skills/continuous-learning-v2
Command: npx skills add https://github.com/krishnakanthb13/everything-antigravity --skill continuous-learning-v2-krishnakanthb13

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Instinct-based learning turns Claude Code sessions into reusable knowledge by converting observations into atomic instincts with confidence scores and evolving them into skills, commands, and agents.

Core Features & Use Cases

  • Atomic instincts: capture prompts and tool usage to form small, confidence-weighted behaviors.
  • Evolution to skills/agents: cluster instincts into durable skills, commands, and capable agents for automation.
  • Local-first workflow: store observations and evolutions on your machine with export/import support.

Quick Start

Enable observation hooks to start capturing tool usage, then run the instinct CLI to inspect and evolve 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 for learning and automation?▼

You can capture Claude Code session observations by enabling hooks-based observation, which records prompts and tool usage to generate atomic instincts with confidence scores for evolving automation.

What are atomic instincts in AI agent learning workflows?▼

Atomic instincts are small, confidence-weighted behaviors derived from captured prompts and tool usage. These instincts cluster into evolving structures like durable skills, commands, and capable agents.

Do I need local storage to evolve session observations into reusable skills?▼

Yes, this local-first workflow requires a storage layout under ~/.claude/homunculus to store observations and evolutions on your machine, featuring export and import support for sharing generated skills.

Can I use background Haiku analysis to process session instincts cost-efficiently?▼

Yes, background Haiku analysis processes captured session observations into atomic instincts cost-efficiently, ensuring that generating confidence-weighted behaviors does not incur high analysis costs.

What is the best way to export and share evolved AI agents and skills locally?▼

The best way to share evolved agents is using the built-in export and import support. This local-first workflow stores generated skills and commands on your machine for easy sharing.

Related Skills

Explore More Software Engineering Skills→
CobaltSatoCobaltSato

continuous-learning-v2

Analyze Claude Code sessions to convert recurring patterns into atomic instincts.

Community
Advanced
andrew-starosciakandrew-starosciak
2

continuous-learning-v2

Observe Claude sessions to create confidence-scored instincts and evolve them into skills.

Community
Advanced
karimatayutakarimatayuta

ecc-continuous-learning-v2

Convert Claude Code sessions into atomic instincts with confidence scoring.

Community
Advanced
llmh333llmh333

continuous-learning-v2

Capture Gemini CLI tool-use sessions and convert recurring behaviors into confidence-scored instinct patterns.

Community
Advanced