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Capy Cortex

Community
happycapy-ai
capy-cortex

Autonomous learning system - learns from mistakes, reflects on sessions, and gets smarter over time. The AI brain.

Overview

Publisherhappycapy-ai
RepositoryHappycapy-skills
Skill namecapy-cortex
Stars
138
Forks
30
Bundled files
61
LicenseMIT
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 61 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by happycapy-ai on GitHub. Read the source before you install it.

Installation

Install the Capy Cortex AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git /tmp/Happycapy-skills
mkdir -p .claude/skills
cp -r /tmp/Happycapy-skills/skills/capy-cortex .claude/skills/capy-cortex
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Capy Cortex in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Capy Cortex on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Capy Cortex is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Capy Cortex - Autonomous Learning System

You have a persistent learning brain powered by SQLite + FTS5 + sklearn TF-IDF. Knowledge is automatically loaded via hooks. This file describes manual operations.

Architecture

  • Database: ~/.claude/skills/capy-cortex/cortex.db (SQLite + FTS5 + WAL)
  • Hooks (automatic, never call manually):
    • SessionStart: Loads anti-patterns, preferences, principles
    • UserPromptSubmit: Retrieves task-relevant rules via FTS5
    • PreToolUse(Bash): Blocks known dangerous commands
    • PostToolUseFailure: Records errors as anti-patterns
    • Stop: Extracts corrections and preferences from conversation
  • Scripts (for manual/scheduled use):
    • cortex.py: Core engine (retrieve, add rules, stats)
    • reflect.py: Deep session analysis
    • consolidate.py: Cluster rules into principles (sklearn)
    • bootstrap.py: Mine historical sessions

Manual Commands

bash
# Check system health
python3 ~/.claude/skills/capy-cortex/scripts/cortex.py stats

# Retrieve rules for a topic
python3 ~/.claude/skills/capy-cortex/scripts/cortex.py retrieve "react typescript"

# Add a rule manually
python3 ~/.claude/skills/capy-cortex/scripts/cortex.py add-rule "Always use TypeScript strict mode" "best_practice"

# Add an anti-pattern
python3 ~/.claude/skills/capy-cortex/scripts/cortex.py add-ap "Never force push to main" "critical"

# Add a preference
python3 ~/.claude/skills/capy-cortex/scripts/cortex.py add-pref "User prefers functional components over class components"

# Run consolidation (clusters rules into principles)
python3 ~/.claude/skills/capy-cortex/scripts/consolidate.py

# Retrain TF-IDF model
python3 ~/.claude/skills/capy-cortex/scripts/cortex.py retrain

# Apply confidence decay
python3 ~/.claude/skills/capy-cortex/scripts/cortex.py decay

How It Learns

  1. Automatic (via hooks): Errors are captured, corrections noted, preferences extracted
  2. Reflection: Deep analysis of session transcripts extracts patterns
  3. Consolidation: sklearn clustering groups similar rules into principles
  4. Decay: Old, unreinforced rules fade; validated rules strengthen
  5. Retrieval: Two-stage FTS5 + TF-IDF returns only relevant knowledge (O(1) context)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 1 more files.

Frequently asked questions

What does the Capy Cortex AI skill do?

Autonomous learning system - learns from mistakes, reflects on sessions, and gets smarter over time. The AI brain.

Why use Capy Cortex on TypingMind?

Because you install it once and use it with any model. Capy Cortex is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Capy Cortex in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/capy-cortex. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Capy Cortex?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Capy Cortex?

As many as you like. As long as a model supports skills, you can use Capy Cortex with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Capy Cortex AI skill free?

Yes. It is published on GitHub by happycapy-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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