The meta-skill that creates skills. Your AI watches your workflows and turns them into reusable Hermes skills — automatically.
Built for Nous Research's Hermes Agent (v2026.3+).
Every time you solve a problem with Hermes, you're performing a workflow worth repeating. Skill Factory watches silently, detects patterns, and at the right moment asks:
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🏭 SKILL FACTORY — New Skill Detected
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I noticed you repeatedly set up a Python environment,
installed dependencies, and ran tests in the same order.
Proposed Skill: python-env-setup
Category: software-development
Description: Reproducible Python project setup workflow
What it captures:
1. Create venv and activate
2. Upgrade pip and install dependencies
3. Run pytest to verify environment
Generate: [A] SKILL.md [B] plugin.py [C] Both [D] Skip
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Say C and it writes both files immediately:
~/.hermes/skills/<category>/<name>/SKILL.md— AI instructions for the workflow~/.hermes/plugins/<name>.py— A slash command that triggers it directly
Requirements: Hermes Agent v2026.3+
git clone https://github.com/your-username/hermes-skill-factory
cd hermes-skill-factory
bash install.shOr manually:
# Install the meta-skill
mkdir -p ~/.hermes/skills/meta/skill-factory
cp skills/skill-factory/SKILL.md ~/.hermes/skills/meta/skill-factory/
# Install the plugin
cp plugins/skill_factory.py ~/.hermes/plugins/Then activate:
hermes skills reload
hermes skills enable skill-factoryOnce installed, Skill Factory runs in the background during every session.
| Command | What it does |
|---|---|
/skill-factory propose |
Analyze the session and propose the top detected skill now |
/skill-factory list |
List all skills generated this session |
/skill-factory status |
Show how many patterns are being tracked |
/skill-factory queue |
Show all detected patterns queued for proposal |
/skill-factory save <name> |
Save the last proposal with a custom name |
/skill-factory clear |
Clear the current session log |
Tip: You can also just tell Hermes naturally:
- "Save this as a skill"
- "Remember how to do this"
- "Turn this workflow into a reusable skill"
A complete skill definition following Hermes' native skill format:
---
name: Python Env Setup
category: software-development
description: Reproducible Python project setup
tags: [python, venv, testing]
---
# Python Env Setup
## When to Activate
...
## Workflow
### Phase 1: Environment
1. python -m venv .venv
2. source .venv/bin/activate
...
## Examples
...A scaffolded Hermes plugin with a slash command:
def register(hermes):
@hermes.command(name="python-env-setup", ...)
async def run_skill(ctx, args=""):
# Step 1: Create venv
# Step 2: Install deps
# Step 3: Run tests
...hermes-skill-factory/
├── skills/
│ └── skill-factory/
│ └── SKILL.md # The meta-skill (core AI instructions)
├── plugins/
│ └── skill_factory.py # Plugin: /skill-factory commands
├── templates/
│ ├── SKILL_TEMPLATE.md # Template for generated skills
│ └── PLUGIN_TEMPLATE.py # Template for generated plugins
├── examples/
│ └── generated/
│ └── git-pr-workflow/ # Example of a Skill Factory output
│ └── SKILL.md
├── docs/
│ └── how-it-works.md # Architecture deep-dive
└── install.sh # One-command installer
See docs/how-it-works.md for a full breakdown.
TL;DR:
SKILL.mdteaches the Hermes AI how to observe, detect, and propose skillsskill_factory.pyprovides the/skill-factorycommands and file generation- You work normally — Skill Factory watches silently and proposes at the right moment
The examples/generated/ directory contains real example outputs from Skill Factory:
git-pr-workflow— End-to-end PR creation workflow
PRs welcome. If you've generated a great skill using Skill Factory, consider adding it to examples/generated/ with a PR.
MIT