> **Trit**: 0 (ERGODIC) - Coordinates balanced skill loading
/plugin marketplace add plurigrid/asi/plugin install asi-skills@asi-skillsThis skill inherits all available tools. When active, it can use any tool Claude has access to.
Trit: 0 (ERGODIC) - Coordinates balanced skill loading
Principle: Load 3 skills at a time, every interaction, with GF(3) conservation.
∀ interaction: load(skill₋₁) ⊗ load(skill₀) ⊗ load(skill₊₁) = 0 (mod 3)
| Minus (-1) | Ergodic (0) | Plus (+1) | Domain |
|---|---|---|---|
| structured-decomp | mutual-awareness-backlink | gh-interactome | Awareness |
| sheaf-cohomology | cognitive-superposition | gflownet | Intelligence |
| kolmogorov-compression | triad-interleave | curiosity-driven | Learning |
| segal-types | bumpus-narratives | world-hopping | Categories |
| persistent-homology | unworld | gay-mcp | Topology |
| Minus (-1) | Ergodic (0) | Plus (+1) | Domain |
|---|---|---|---|
| clj-kondo-3color | acsets-relational-thinking | rama-gay-clojure | Clojure |
| three-match | specter-acset | bisimulation-game | Navigation |
| sheaf-laplacian | interactome-rl-env | jaxlife-open-ended | RL |
class TriadicSkillLoader:
"""Load skills in balanced triads every interaction."""
TRIADS = [
# Cognitive triad
("sheaf-cohomology", "cognitive-superposition", "gflownet"),
# Awareness triad
("structured-decomp", "mutual-awareness-backlink", "gh-interactome"),
# Interleaving triad
("kolmogorov-compression", "triad-interleave", "curiosity-driven"),
# Category triad
("segal-types", "bumpus-narratives", "world-hopping"),
# Game triad
("three-match", "bisimulation-game", "gay-mcp"),
]
def __init__(self, seed: int = 0x42D):
self.seed = seed
self.rng = SplitMix64(seed)
self.interaction_count = 0
self.loaded_triads = []
def next_triad(self) -> tuple:
"""Select next triad using golden angle rotation."""
index = int((self.interaction_count * 137.508) % len(self.TRIADS))
self.interaction_count += 1
return self.TRIADS[index]
def load_for_interaction(self) -> dict:
"""Load balanced triad for this interaction."""
minus, ergodic, plus = self.next_triad()
# Verify GF(3) balance
trit_sum = -1 + 0 + 1
assert trit_sum == 0, "Triad must be balanced"
self.loaded_triads.append((minus, ergodic, plus))
return {
"minus": {"skill": minus, "trit": -1},
"ergodic": {"skill": ergodic, "trit": 0},
"plus": {"skill": plus, "trit": 1},
"sum": 0,
"interaction": self.interaction_count
}
Interaction 1:
└─ Load: cognitive-superposition (0), triad-interleave (+1), bisimulation-game (+1)
└─ Needs: sheaf-cohomology (-1) or similar to balance
Interaction 2:
└─ Load: structured-decomp (-1), mutual-awareness-backlink (0), gh-interactome (+1)
└─ GF(3) = -1 + 0 + 1 = 0 ✓
Interaction 3:
└─ Load: segal-types (-1), bumpus-narratives (0), world-hopping (+1)
└─ GF(3) = -1 + 0 + 1 = 0 ✓
# .ruler/hooks/pre-interaction.bb
(defn load-skill-triad [interaction-count]
(let [triads [["sheaf-cohomology" "cognitive-superposition" "gflownet"]
["structured-decomp" "mutual-awareness-backlink" "gh-interactome"]
["kolmogorov-compression" "triad-interleave" "curiosity-driven"]]
index (mod (int (* interaction-count 137.508)) (count triads))
[minus ergodic plus] (nth triads index)]
{:load [minus ergodic plus]
:gf3 0
:interaction interaction-count}))
# SKILL.md trigger pattern
triggers:
- every_interaction:
load_triads: true
strategy: golden_angle
seed: 0x42D
When 3 skills are loaded together, they create emergent capabilities:
cognitive-superposition × triad-interleave × bisimulation-game
= Superposed skill states that can be interleaved and verified for equivalence
structured-decomp × mutual-awareness-backlink × gh-interactome
= Decomposed awareness graphs with contributor backlinks
sheaf-cohomology × bumpus-narratives × world-hopping
= Cohomological narrative verification across possible worlds
function verify_triadic_loading(loader::TriadicSkillLoader)
total_trit = 0
for (minus, ergodic, plus) in loader.loaded_triads
trit_sum = -1 + 0 + 1
@assert trit_sum == 0 "Triad unbalanced"
total_trit += trit_sum
end
@assert total_trit == 0 "Overall GF(3) violated"
true
end
just load-triad # Load next balanced triad
just show-triads # Display all available triads
just verify-gf3 # Verify conservation
just golden-rotation SEED # Show golden angle rotation sequence
triadic_skill_loader.py - Python implementationtriadic_skill_loader.bb - Babashka hooktriadic_skill_loader.jl - Julia ACSet integrationSkill Name: triadic-skill-loader Type: Meta-skill / Orchestration Trit: 0 (ERGODIC) Key Property: GF(3) = 0 per interaction, golden angle rotation