krishnakanthb13/everything-antigravity/continuous-learning-v2

Name: continuous-learning-v2
Author: krishnakanthb13

Claude Code and agent skill by krishnakanthb13/everything-antigravity

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Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.

Install

npx vskill@latest install krishnakanthb13/everything-antigravity/continuous-learning-v2

SKILL.md

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

The Instinct Model

An instinct is a small learned behavior:

yaml

---
id: prefer-functional-style
trigger: "when writing new functions"
confidence: 0.7
domain: "code-style"
source: "session-observation"
---
 
# Prefer Functional Style
 
## Action
Use functional patterns over classes when appropriate.
 
## Evidence
- Observed 5 instances of functional pattern preference
- User corrected class-based approach to functional on 2025-01-15

Properties:

Atomic - one trigger, one action
Confidence-weighted - 0.3 = tentative, 0.9 = near certain
Domain-tagged - code-style, testing, git, debugging, workflow, etc.
Evidence-backed - tracks what observations created it

How It Works

Session Activity
      │
      │ Hooks capture prompts + tool use (100% reliable)
      ▼
┌─────────────────────────────────────────┐
│         observations.jsonl              │
│   (prompts, tool calls, outcomes)       │
└─────────────────────────────────────────┘
      │
      │ Observer agent reads (background, Haiku)
      ▼
┌─────────────────────────────────────────┐
│          PATTERN DETECTION              │
│   • User corrections → instinct         │
│   • Error resolutions → instinct        │
│   • Repeated workflows → instinct       │
└─────────────────────────────────────────┘
      │
      │ Creates/updates
      ▼
┌─────────────────────────────────────────┐
│         instincts/personal/             │
│   • prefer-functional.md (0.7)          │
│   • always-test-first.md (0.9)          │
│   • use-zod-validation.md (0.6)         │
└─────────────────────────────────────────┘
      │
      │ /evolve clusters
      ▼
┌─────────────────────────────────────────┐
│              evolved/                   │
│   • commands/new-feature.md             │
│   • skills/testing-workflow.md          │
│   • agents/refactor-specialist.md       │
└─────────────────────────────────────────┘

Quick Start

1. Enable Observation Hooks

Add to your ~/.claude/settings.json.

If installed as a plugin (recommended):

json

{
  "hooks": {
    "PreToolUse": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "${CLAUDE_PLUGIN_ROOT}/skills/continuous-learning-v2/hooks/observe.sh pre"
      }]
    }],
    "PostToolUse": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "${CLAUDE_PLUGIN_ROOT}/skills/continuous-learning-v2/hooks/observe.sh post"
      }]
    }]
  }
}

If installed manually to ~/.claude/skills:

json

{
  "hooks": {
    "PreToolUse": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "~/.claude/skills/continuous-learning-v2/hooks/observe.sh pre"
      }]
    }],
    "PostToolUse": [{
      "matcher": "*",
      "hooks": [{
        "type": "command",
        "command": "~/.claude/skills/continuous-learning-v2/hooks/observe.sh post"
      }]
    }]
  }
}

2. Initialize Directory Structure

The Python CLI will create these automatically, but you can also create them manually:

bash

mkdir -p ~/.claude/homunculus/{instincts/{personal,inherited},evolved/{agents,skills,commands}}
touch ~/.claude/homunculus/observations.jsonl

3. Use the Instinct Commands

bash

/instinct-status     # Show learned instincts with confidence scores
/evolve              # Cluster related instincts into skills/commands
/instinct-export     # Export instincts for sharing
/instinct-import     # Import instincts from others

Commands

Command	Description
`/instinct-status`	Show all learned instincts with confidence
`/evolve`	Cluster related instincts into skills/commands
`/instinct-export`	Export instincts for sharing
`/instinct-import <file>`	Import instincts from others

Configuration

Edit config.json:

json

{
  "version": "2.0",
  "observation": {
    "enabled": true,
    "store_path": "~/.claude/homunculus/observations.jsonl",
    "max_file_size_mb": 10,
    "archive_after_days": 7
  },
  "instincts": {
    "personal_path": "~/.claude/homunculus/instincts/personal/",
    "inherited_path": "~/.claude/homunculus/instincts/inherited/",
    "min_confidence": 0.3,
    "auto_approve_threshold": 0.7,
    "confidence_decay_rate": 0.05
  },
  "observer": {
    "enabled": true,
    "model": "haiku",
    "run_interval_minutes": 5,
    "patterns_to_detect": [
      "user_corrections",
      "error_resolutions",
      "repeated_workflows",
      "tool_preferences"
    ]
  },
  "evolution": {
    "cluster_threshold": 3,
    "evolved_path": "~/.claude/homunculus/evolved/"
  }
}

File Structure

~/.claude/homunculus/
├── identity.json           # Your profile, technical level
├── observations.jsonl      # Current session observations
├── observations.archive/   # Processed observations
├── instincts/
│   ├── personal/           # Auto-learned instincts
│   └── inherited/          # Imported from others
└── evolved/
    ├── agents/             # Generated specialist agents
    ├── skills/             # Generated skills
    └── commands/           # Generated commands

Integration with Skill Creator

When you use the Skill Creator GitHub App, it now generates both:

Traditional SKILL.md files (for backward compatibility)
Instinct collections (for v2 learning system)

Instincts from repo analysis have source: "repo-analysis" and include the source repository URL.

Confidence Scoring

Confidence evolves over time:

Score	Meaning	Behavior
0.3	Tentative	Suggested but not enforced
0.5	Moderate	Applied when relevant
0.7	Strong	Auto-approved for application
0.9	Near-certain	Core behavior

Confidence increases when:

Pattern is repeatedly observed
User doesn't correct the suggested behavior
Similar instincts from other sources agree

Confidence decreases when:

User explicitly corrects the behavior
Pattern isn't observed for extended periods
Contradicting evidence appears

Why Hooks vs Skills for Observation?

"v1 relied on skills to observe. Skills are probabilistic - they fire ~50-80% of the time based on Claude's judgment."

Hooks fire 100% of the time, deterministically. This means:

Every tool call is observed
No patterns are missed
Learning is comprehensive

Backward Compatibility

v2 is fully compatible with v1:

Existing ~/.claude/skills/learned/ skills still work
Stop hook still runs (but now also feeds into v2)
Gradual migration path: run both in parallel

Privacy

Observations stay local on your machine
Only instincts (patterns) can be exported
No actual code or conversation content is shared
You control what gets exported

Skill Creator - Generate instincts from repo history
Homunculus - Inspiration for v2 architecture
The Longform Guide - Continuous learning section

Instinct-based learning: teaching Claude your patterns, one observation at a time.

Security

Security scanPassed, 100 of 100Pattern checks on the skill's files.
Model reviewNot runA model review is scheduled for the next rescan.

See the full security report

Quality evaluation

Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

See evaluation results

Source

SKILL.md in the repositoryCheckingskills/continuous-learning-v2/SKILL.md

Popularity

7-day trend score: 0

Refreshed 18 Mar 2026, 7 months ago.

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Install

SKILL.md

Continuous Learning v2 - Instinct-Based Architecture

What's New in v2

The Instinct Model

How It Works

Quick Start

1. Enable Observation Hooks

2. Initialize Directory Structure

3. Use the Instinct Commands

Commands

Configuration

File Structure

Integration with Skill Creator

Confidence Scoring

Why Hooks vs Skills for Observation?

Backward Compatibility

Privacy

Related

Security

Quality evaluation

Source

Popularity

Works with