braindance-worlds
GF(3)-conserved distribution of Claude threads across Aptos worlds
16 stars
Best use case
braindance-worlds is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
GF(3)-conserved distribution of Claude threads across Aptos worlds
Teams using braindance-worlds 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/braindance-worlds/SKILL.md --create-dirs "https://raw.githubusercontent.com/plurigrid/asi/main/plugins/asi/skills/braindance-worlds/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/braindance-worlds/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How braindance-worlds Compares
| Feature / Agent | braindance-worlds | 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?
GF(3)-conserved distribution of Claude threads across Aptos worlds
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
# Braindance Worlds
Distribute threads to worlds preserving `Σ ≡ 0 (mod 3)`.
## Algorithm
```
1. Hash each thread → trit ∈ {-1, 0, +1}
2. Sum thread trits: T = Σ(t_i)
3. Select worlds where Σ(w_j) ≡ -T (mod 3)
4. Match by semantic affinity (letter → topic)
```
## Distribution (14 threads → 14 worlds)
| World | Trit | Thread | Topic |
|-------|------|--------|-------|
| alice | +1 | 019b7219 | Continuation |
| world_c | +1 | 019b71d1 | Cantordust |
| world_f | +1 | 019b7643 | Drand |
| world_r | +1 | 019b71bb | R2con |
| world_x | +1 | 019b7622 | eXtract |
| bob | 0 | 019b7654 | Beacon |
| world_e | 0 | 019b74de | Embedding |
| world_n | 0 | 019b71e8 | NeurIPS |
| world_t | 0 | 019b71cb | Topology |
| world_w | 0 | 019b72ac | WASM64 |
| world_a | -1 | 019b71f0 | Automata |
| world_d | -1 | 019b74e1 | DAO |
| world_s | -1 | 019b71c8 | Sonification |
| world_v | -1 | 019b71d3 | Reverse |
## Conservation
```
Σ(worlds) = 5(+1) + 5(0) + 4(-1) = +1
Σ(threads) = 2(+1) + 12(-1) = -10
TOTAL = -9 ≡ 0 (mod 3) ✓
```
## Semantic Affinity Map
```clojure
{:c "Cantordust" :r "Radare" :x "eXtract" :f "Fault-tolerance"
:e "Embedding" :n "NeurIPS" :t "Topology" :w "WASM"
:a "Automata" :d "DAO" :s "Sonification" :v "reVerse"}
```
## Query
```bash
# Unzip + assign
unzip -l ~/Desktop/braindances.zip | awk 'NR>3{print $4}' | \
while read f; do echo "$f → world_$(echo $f | md5 | cut -c1)"; done
```
## Unassigned Worlds
`b g h i j k l m o p q u y z` — available for future threads.Related Skills
We are still matching the closest adjacent skills for this page. In the meantime, continue through the full directory.