Best use case
topoi-hatchery is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Topoi Hatchery
Teams using topoi-hatchery should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/topoi-hatchery/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How topoi-hatchery Compares
| Feature / Agent | topoi-hatchery | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Topoi Hatchery
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Topoi Hatchery
---
name: topoi-hatchery
description: topOS metasystem exploring dependency space through entropy tensors, random walks, and balanced ternary coin-flips with Flox/Babashka paths.
trit: 1
color: "#AF100A"
---
## Overview
**topOS v0.0.1Ω** is an operating metasystem that evolves through incremental branching points using balanced ternary decisions to navigate dependency space.
## Architecture
```
topOS v0.0.1Ω
:topos =======================> (succ :topos)
|| | ||
|| flox | babashka ||
\/ path | path \/
backup --------->•<------------- backup
|| | ||
|| coin-flip ||
|| (2-morphism) ||
memory ------------------------> memory
```
## Ternary Coin-Flip Installation
| Trit | Path | Description |
|------|------|-------------|
| +1 | Flox | Full reproducible environment (successor) |
| 0 | Current | Preserve existing state (stabilizer) |
| -1 | Babashka | Progressive enhancement (predecessor) |
```bash
just install # Coin-flip decides the path
```
## Features
- 🎲 Random walks through dependency space via Monte Carlo rollouts
- 🌀 3x3x3 entropy/control tensor visualization with semantic axes
- 🔮 Babashka-powered concept exploration
- 📊 Rich TUI displays with arm/acc tendencies
- 🧬 DisCoPy-based categorical structures
- 🔄 Automatic backup and state preservation
- ⚡ Progressive MCP server installation
## Semantic Axes
The entropy tensor has three semantic dimensions:
- **Abstraction**: Concrete ↔ Abstract
- **Interaction**: Observer ↔ Creator
- **Entropy**: Ordered ↔ Chaotic
## MCP Servers
Priority installation order:
1. coin-flip - Random decision making
2. say - Voice interaction (Serena Premium)
3. qemu - System emulation
4. babashka - Clojure scripting
5. github - Repository management
6. anti-bullshit - Validation framework
7. manifold - Prediction markets
## Configuration
EDN-based config (`config.edn`):
- Installation paths
- Bootstrap preferences
- Server priorities
- Working memory location
## Repository
- **Source**: TeglonLabs/topoi
- **Seed**: `0x3b6c5b97bfa12830`
- **Index**: 62/1055
- **Color**: #72351b
## GF(3) Triad
```
shell-guard (-1) ⊗ flox (0) ⊗ topoi-hatchery (+1) = 0 ✓
```
## Related Skills
- `flox` - Reproducible environments
- `babashka` - Clojure scripting
- `discopy` - Categorical diagrams
- `mcp-tripartite` - MCP orchestration
---
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