Agent skill

Capy Cortex

by happycapy-ai in happycapy-ai/Happycapy-skills

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

Install Capy Cortex

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill capy-cortex -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills capy-cortex --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/capy-cortex .claude/skills/capy-cortex && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "capy-cortex" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/capy-cortex into .claude/skills/capy-cortex/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capy-cortex", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/capy-cortex

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill capy-cortex -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills capy-cortex --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/capy-cortex .agents/skills/capy-cortex && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "capy-cortex" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/capy-cortex into .agents/skills/capy-cortex/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capy-cortex", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill capy-cortex -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills capy-cortex --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/capy-cortex .cursor/skills/capy-cortex && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "capy-cortex" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/capy-cortex into .cursor/skills/capy-cortex/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capy-cortex", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/happycapy-ai/Happycapy-skills.git --path skills/capy-cortex

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill capy-cortex -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills capy-cortex --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/capy-cortex .gemini/skills/capy-cortex && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "capy-cortex" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/capy-cortex into .gemini/skills/capy-cortex/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capy-cortex", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills capy-cortex

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill capy-cortex -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/capy-cortex .github/skills/capy-cortex && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "capy-cortex" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/capy-cortex into .github/skills/capy-cortex/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capy-cortex", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add happycapy-ai/Happycapy-skills --skill capy-cortex -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install happycapy-ai/Happycapy-skills capy-cortex --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/happycapy-ai/Happycapy-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/capy-cortex .opencode/skills/capy-cortex && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "capy-cortex" agent skill from https://github.com/happycapy-ai/Happycapy-skills/tree/main/skills/capy-cortex into .opencode/skills/capy-cortex/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capy-cortex", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: capy-cortex
GitHub stars: 137
Token cost: ~600 tokens
SKILL.md length: 146 words
Files: 79 (incl. scripts)
Skills in repo: 28
Repo updated: Sep 3, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

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

Works in 5 steps: Automatic (via hooks): Errors are… → Reflection: Deep analysis of session… → Consolidation: sklearn clustering groups… → …
Data & Analytics work in your project
SKILL.md covers Architecture, Manual Commands and How It Learns
Runs Python and JavaScript scripts from its folder; calls python3

What it does

Capy Cortex is an agent skill from happycapy-ai/Happycapy-skills. Autonomous learning system - learns from mistakes, reflects on sessions, and gets smarter over time. The AI brain.

Its SKILL.md is about 600 tokens, which your agent loads only when the skill is triggered. The skill folder holds 82 other files, including scripts (for example `README.md`, `dashboard.py` and `dashboard/README.md`).

It sits in Data & Analytics. It works with scikit-learn. The repository describes itself as: A curated collection of high-quality Claude Code skills to enhance your development workflow. The licence is MIT.

When your agent uses it

Data & Analytics work in your project

Example prompts

“/capy-cortex”

Requirements

Python 3
Node.js

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

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

What it can do on your machine

Read from SKILL.md and the folder at commit 9ff72fe. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python and JavaScript, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
- python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Capy Cortex loads about 600 tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 146 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~32
When it runs · the whole SKILL.md, loaded when a task matches: ~600

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from happycapy-ai/Happycapy-skills at commit 9ff72fe, republished under its MIT licence (© happycapy-ai). 146 words, ~600 tokens.

Download SKILL.mdSave it as .claude/skills/capy-cortex/SKILL.md (or your agent's skills folder). This skill also uses 78 other files; get the full folder from GitHub.

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

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

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

Files

SKILL.md and 78 other files (scripts) in skills/capy-cortex of happycapy-ai/Happycapy-skills.

SKILL.md
.gitignore
LICENSE
README.md
dashboard.py
dashboard/.gitignore
dashboard/README.md
dashboard/eslint.config.js
dashboard/index.html
dashboard/package-lock.json
dashboard/package.json
dashboard/public/favicon.svg
dashboard/public/icons.svg
dashboard/src/App.tsx
dashboard/src/assets/hero.png
dashboard/src/assets/react.svg
dashboard/src/assets/vite.svg
… and 62 more

Open the folder on GitHubat commit 9ff72fe

Compare with similar skills

Capy Cortex next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Capy Cortex compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Capy Cortex this skillhappycapy-ai/Happycapy-skills	137	—	~600	Automated safety check: Pass	MIT	1 mo ago
Scikit LearnzLanqing/codex-claude-academic-skills	4.7k	16 repos	~3.9k	Automated safety check: Pass	BSD-3-Clause	4 mo ago
TimesFM Forecastinggoogle-research/timesfm	34k	—	~4.7k	Automated safety check: Pass	Apache-2.0	9 days ago
Senior Data ScientistRaidriar7170/hermes-skilleval	125	5 repos	~1.4k	Automated safety check: Pass	MIT	13 days ago
Statistical Data Analysislingzhi227/agent-research-skills	386	—	~886	Automated safety check: Pass	None	7 mo ago
Time Series Analytics Useropen-edge-platform/edge-ai-libraries	169	—	~3.1k	Automated safety check: Pass	Apache-2.0	today

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Questions about Capy Cortex

What does Capy Cortex do?

Autonomous learning system - learns from mistakes, reflects on sessions, and gets smarter over time. Capy Cortex is an agent skill from happycapy-ai/Happycapy-skills. Autonomous learning system - learns from mistakes, reflects on sessions, and gets smarter over time.

When should I use Capy Cortex?

Capy Cortex fits situations like: data & Analytics work in your project.

How do I install Capy Cortex in Claude Code?

Run `npx skills add happycapy-ai/Happycapy-skills --skill capy-cortex -a claude-code`. Or copy the skill folder (skills/capy-cortex in happycapy-ai/Happycapy-skills) into .claude/skills/capy-cortex in your project. Claude Code loads it when a task matches its description.

How do I install Capy Cortex in Codex?

Run `npx skills add happycapy-ai/Happycapy-skills --skill capy-cortex -a codex`. Or copy the skill folder (skills/capy-cortex in happycapy-ai/Happycapy-skills) into .agents/skills/capy-cortex in your project. Codex loads it when a task matches its description.

Can I use Capy Cortex in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add happycapy-ai/Happycapy-skills --skill capy-cortex -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/capy-cortex, .gemini/skills/capy-cortex, .github/skills/capy-cortex and .opencode/skills/capy-cortex in your project.

What does Capy Cortex need to run?

Going by SKILL.md and its folder, Capy Cortex needs Python and JavaScript for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3; Node.js.

Does Capy Cortex access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Capy Cortex safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Capy Cortex use?

Capy Cortex is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Capy Cortex use?

About 600 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Capy Cortex?

Skills that share tags, products or a category with Capy Cortex: Scikit Learn (zLanqing/codex-claude-academic-skills, 4.7k stars), TimesFM Forecasting (google-research/timesfm, 34k stars), Senior Data Scientist (Raidriar7170/hermes-skilleval, 125 stars) and Statistical Data Analysis (lingzhi227/agent-research-skills, 386 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Capy Cortex?

happycapy-ai (a GitHub user) maintains it in happycapy-ai/Happycapy-skills, which has 137 GitHub stars. The repository holds 28 skills in this directory. The repository was last updated on September 3, 2026.

Source: happycapy-ai/Happycapy-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Capy Cortex

Install Capy Cortex

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Capy Cortex - Autonomous Learning System

Architecture

Manual Commands

How It Learns

Files

Compare with similar skills

Similar skills

Scikit Learn

TimesFM Forecasting

Senior Data Scientist

Statistical Data Analysis

Time Series Analytics User

Estimate Online Covariance

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Questions about Capy Cortex

Install Capy Cortex

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Capy Cortex - Autonomous Learning System

Architecture

Manual Commands

How It Learns

Files

Compare with similar skills

Similar skills

More from happycapy-ai/Happycapy-skills

Related

Questions about Capy Cortex