goblins
Distributed object capability system (6.5K lines info).
Best use case
goblins is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Distributed object capability system (6.5K lines info).
Teams using goblins 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/goblins/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How goblins Compares
| Feature / Agent | goblins | 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?
Distributed object capability system (6.5K lines info).
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
# goblins
Distributed object capability system (6.5K lines info).
## bmorphism Contributions
> *"Autopoiesis refers to the self-maintenance of a system, where the system is capable of reproducing and maintaining itself."*
> — [vibes.lol gist](https://gist.github.com/bmorphism/c41eaa531be774101c9d9b082bb369eb)
**Goblins as Autopoietic Agents**: Each Goblins actor is an autopoietic system — it maintains its own state via `bcom` (become), reproducing itself with updated behavior. This embodies the self-maintenance principle at the core of cognitive architecture.
**Active Inference via CapTP**: The OCapN protocol implements distributed [Active Inference in String Diagrams](https://arxiv.org/abs/2308.00861) where:
- **Sturdyref** → Reference to external world (perception)
- **`<-` async call** → Action that generates expected sensory response
- **Promise resolution** → Prediction error minimization
**GF(3) in Actor Triads**: Actor systems naturally form triads: sender (+1, generator) → message (0, coordinator) → receiver (-1, validator). The async semantics preserve GF(3) conservation across distributed computation.
## Model
```
peer → vat → actormap → {refr: behavior}
```
## Operators
```scheme
($ obj method args...) ; Sync (near only)
(<- obj method args...) ; Async (near/far)
```
## Vat
```scheme
(define vat (spawn-vat))
(define greeter
(vat-spawn vat
(lambda (bcom)
(lambda (name)
(format #f "Hello, ~a!" name)))))
($ greeter "World") ; => "Hello, World!"
```
## OCapN
Object Capability Network for secure p2p via CapTP.
## Scientific Skill Interleaving
This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
### Graph Theory
- **networkx** [○] via bicomodule
- Universal graph hub
### Bibliography References
- `general`: 734 citations in bib.duckdb
## Cat# Integration
This skill maps to **Cat# = Comod(P)** as a bicomodule in the equipment structure:
```
Trit: 0 (ERGODIC)
Home: Prof
Poly Op: ⊗
Kan Role: Adj
Color: #26D826
```
### GF(3) Naturality
The skill participates in triads satisfying:
```
(-1) + (0) + (+1) ≡ 0 (mod 3)
```
This ensures compositional coherence in the Cat# equipment structure.Related Skills
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