Continuous Learning V2

Continuous Learning V2 is an AI Engineering skill for Claude Code, published by sangrokjung in claude-forge.

806 stars175 forkson sangrokjung/claude-forgeAdded 2026/08/22Repository updated 2026/08/21

agentsai-assistantai-codingai-frameworkai-pair-programminganthropicautomationclaude-codeclaude-code-agentscli-toolsdeveloper-experiencedeveloper-toolsdotfileshooksllmmacosproductivityshellslash-commandsworkflow

Install in seconds

Install Continuous Learning V2

Copy Continuous Learning V2 into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/sangrokjung/claude-forge/tree/main/skills/continuous-learning-v2 ~/.claude/skills/continuous-learning-v2

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/sangrokjung/claude-forge.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/continuous-learning-v2/SKILL.md in sangrokjung/claude-forge
Installs to: ~/.claude/skills/continuous-learning-v2
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Continuous Learning V2 does

Continuous Learning V2 turns Claude Code sessions into atomic instincts using hooks, confidence scoring, and background pattern detection. Use it to capture repeated behaviors and evolve them into skills, commands, or agents.

Continuous Learning V2 is cataloged under AI Engineering on DirSkills. Continuous Learning V2 comes from a repository tagged agents, ai-assistant, ai-coding, ai-framework and ai-pair-programming.

Documentation

README

Excerpt

Continuous Learning v2 - Instinct-Based Architecture

An advanced learning system that turns your Claude Code sessions into reusable knowledge through atomic "instincts" - small learned behaviors with confidence scoring.

What's New in v2

Feature	v1	v2
Observation	Stop hook (session end)	PreToolUse/PostToolUse (100% reliable)
Analysis	Main context	Background agent (Haiku)
Granularity	Full skills	Atomic "instincts"
Confidence	None	0.3-0.9 weighted
Evolution	Direct to skill	Instincts → cluster → skill/command/agent
Sharing	None	Export/import instincts

This is the opening of the README. Read the full README on GitHub.

Commands Continuous Learning V2 provides

Slash commands named in this skill’s SKILL.md, listed in the order they first appear.

/evolve
/instinct-status
/instinct-export
/instinct-import

Frequently asked about Continuous Learning V2

What else does sangrokjung publish alongside Continuous Learning V2?
Continuous Learning V2 is one of 25 skills that DirSkills catalogs from sangrokjung/claude-forge, the repository it ships in. Its siblings there include BigCode Evaluation Harness, Blind Spot Pass and Build System. Each one is a separate skill with its own page in this directory, installs the same way Continuous Learning V2 does, and is maintained by sangrokjung in that same repository. The rest of the collection is listed on the sangrokjung/claude-forge page.
How does Continuous Learning V2 compare to other AI Engineering skills?
Continuous Learning V2 ranks #1583 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Continuous Learning V2 against them. Open each page to compare what they document and how they install.