Best use case
graph-grafting is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Graph Grafting Skill
Teams using graph-grafting 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
$curl -o ~/.claude/skills/graph-grafting/SKILL.md --create-dirs "https://raw.githubusercontent.com/plurigrid/asi/main/plugins/asi/skills/graph-grafting/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/graph-grafting/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How graph-grafting Compares
| Feature / Agent | graph-grafting | 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?
Graph Grafting Skill
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
# Graph Grafting Skill
**Trit**: 0 (ERGODIC - Coordinator)
**GF(3) Triad**: `queryable (-1) ⊗ graftable (0) ⊗ derangeable (+1) = 0`
## Overview
Combinatorial complex operations replacing GraphQL with pure graph theory:
| Operation | Trit | Description |
|-----------|------|-------------|
| **Queryable** | -1 | Tree-shape decision via bag decomposition |
| **Colorable** | 0 | GF(3) 3-coloring via sheaf |
| **Derangeable** | +1 | Permutations with no fixed points |
| **Graftable** | 0 | Attach rooted tree at vertex |
## Mathematical Foundation
**Grafting** = attaching a rooted tree T at vertex v of graph G:
```
Graft(T, v, G) → G' where:
- V(G') = V(G) ∪ V(T)
- E(G') = E(G) ∪ E(T) ∪ {(v, root(T))}
- Adhesion = shared labels at attachment point
```
## Quadrant Chart: Colorable × Derangeable
```
Balanced (GF3=0)
│
Q2 │ Q1 ← OPTIMAL
Identity │ PR#18, Knight Tour
│ SICM Galois
──────────────┼──────────────
Q3 │ Q4
Deadlock │ Phase Trans
│
Fixed Points → Derangement
```
## Usage
```julia
using .GraphGrafting
c = GraftComplex(UInt64(1069))
# Build PR tree
root = GraftNode(:pr18, Int8(0), :golden, 0)
alice = GraftNode(:alice, Int8(-1), :baseline, 1)
bob = GraftNode(:bob, Int8(1), :original, 1)
# Graft nodes
graft!(c, root, :none, String[])
graft!(c, alice, :pr18, ["aptos-wallet-mcp"])
graft!(c, bob, :pr18, ["aptos-wallet-mcp"])
# Operations
tree_shape(c) # Queryable
trit_partition(c) # Colorable
derange!(c) # Derangeable
compose(c1, c2, :vertex) # Graftable
# Verify
verify_gf3(c) # → (conserved=true, sum=0)
```
## Neighbors
### High Affinity
- `three-match` (-1): Graph coloring verification
- `derangeable` (+1): No fixed points
- `bisimulation-game` (-1): Attacker/Defender
### Example Triad
```yaml
skills: [graph-grafting, three-match, derangeable]
sum: (0) + (-1) + (+1) = 0 ✓ CONSERVED
```
## References
- Joyal, Combinatorial Species (1981)
- Flajolet & Sedgewick, Analytic Combinatorics (2009)
- Topos Institute, Observational Bridge Types
## Scientific Skill Interleaving
This skill connects to the K-Dense-AI/claude-scientific-skills ecosystem:
### Graph Theory
- **networkx** [○] via bicomodule
- Graph manipulation and algorithms
### Bibliography References
- `graph-theory`: 38 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
We are still matching the closest adjacent skills for this page. In the meantime, continue through the full directory.