gay-fokker-planck-staging
Two Fokker-Plancks per staging gate, conditioned on (rama OR goblins)
Best use case
gay-fokker-planck-staging is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Two Fokker-Plancks per staging gate, conditioned on (rama OR goblins)
Teams using gay-fokker-planck-staging 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/gay-fokker-planck-staging/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How gay-fokker-planck-staging Compares
| Feature / Agent | gay-fokker-planck-staging | 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?
Two Fokker-Plancks per staging gate, conditioned on (rama OR goblins)
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
# Gay Fokker-Planck Staging
> *"Each staging gate requires two independent convergence checks"*
**Trit**: 0 (ERGODIC - coordinator)
**Color**: #26D826 (Green)
**Condition**: `(rama OR goblins)` - distributed capability requirement
---
## Overview
Every skill activation MUST:
1. Pass through **two Fokker-Planck equilibrium checks**
2. Provide **accessible counterfactual worlds** (rama-path, goblins-path, both-path)
3. Satisfy triangle inequality for world accessibility
4. Conserve GF(3) across staging gates
## Staging Gate Protocol
```clojure
(defn staging-gate [skill seed]
(let [;; Two independent Fokker-Planck checks
fp1 (fokker-planck-check skill :temperature 0.01)
fp2 (fokker-planck-check skill :temperature 0.001)
;; Condition: rama OR goblins available
rama-accessible? (check-capability :rama)
goblins-accessible? (check-capability :goblins)
condition-met? (or rama-accessible? goblins-accessible?)]
{:skill skill
:fp1-converged (:converged fp1)
:fp2-converged (:converged fp2)
:staging-pass (and (:converged fp1)
(:converged fp2)
condition-met?)
:condition {:rama rama-accessible?
:goblins goblins-accessible?}}))
```
## Counterfactual Worlds (Mandatory)
Each skill MUST declare accessible counterfactual worlds:
```ruby
class SkillWithWorlds
attr_reader :actual_world, :counterfactuals
def initialize(skill_name, seed)
@actual_world = PossibleWorld.new(seed: seed, skill: skill_name)
# MANDATORY: Three counterfactual paths
@counterfactuals = [
rama_world(seed), # W₁: rama-only execution
goblins_world(seed), # W₂: goblins-only execution
both_world(seed) # W₃: rama + goblins
]
end
def rama_world(seed)
PossibleWorld.new(
seed: derive(seed, :rama),
variant: :rama,
accessible: true,
distance_from_actual: 1.0
)
end
def goblins_world(seed)
PossibleWorld.new(
seed: derive(seed, :goblins),
variant: :goblins,
accessible: true,
distance_from_actual: 1.0
)
end
def both_world(seed)
PossibleWorld.new(
seed: derive(derive(seed, :rama), :goblins),
variant: :both,
accessible: true,
distance_from_actual: 1.414 # √2, composed path
)
end
end
```
## Triangle Inequality Verification
```
actual
/\
1.0 / \ 1.0
/ \
rama ---- goblins
1.0
Triangle: d(actual, goblins) ≤ d(actual, rama) + d(rama, goblins)
1.0 ≤ 1.0 + 1.0 = 2.0 ✓
```
## Two Fokker-Plancks Per Staging
### Why Two?
1. **Temperature sensitivity**: Different T reveals different equilibria
2. **Mixing time validation**: Second check confirms first wasn't premature
3. **Gibbs distribution verification**: Two independent samples
### Implementation
```python
def dual_fokker_planck_gate(skill_trajectory):
# FP1: Higher temperature (exploration)
fp1 = fokker_planck_check(
trajectory=skill_trajectory,
temperature=0.01,
mixing_threshold=100
)
# FP2: Lower temperature (exploitation)
fp2 = fokker_planck_check(
trajectory=skill_trajectory,
temperature=0.001,
mixing_threshold=500
)
# Both must converge
return fp1.converged and fp2.converged
```
## Random Walk Agent Protocol
Three agents walk skills, each with counterfactual worlds:
```clojure
(def agent-seeds [0xDEAD01 0xBEEF02 0xCAFE03])
(defn agent-walk [seed]
{:agent-trit (- (mod seed 3) 1)
:skills (for [step (range 3)]
(let [skill (walk-step seed step)
worlds (counterfactual-worlds skill seed)]
{:skill skill
:trit (- (mod step 3) 1)
:worlds worlds
:staging (dual-fokker-planck-gate skill)}))})
```
## GF(3) Conservation
Each staging gate maintains:
```
Σ(skill trits) ≡ 0 (mod 3)
Agent 1: covariant-modification(-1) + cybernetic-immune(0) + X(+1) = 0 ✓
Agent 2: mdm-cobordism(-1) + tailscale-file-transfer(0) + Y(+1) = 0 ✓
Agent 3: discohy-streams(-1) + code-review(0) + Z(+1) = 0 ✓
```
## Commands
```bash
# Run staging gate
just gay-staging skill_name
# Check dual Fokker-Planck
just fp-dual-check trajectory.json
# List counterfactual worlds
just worlds-list skill_name
# Verify triangle inequality
just triangle-check skill_name
```
## PR Template
When committing to plurigrid/asi:
```markdown
## Summary
- Add gay-fokker-planck-staging skill
- Two FP equilibrium checks per staging gate
- Mandatory counterfactual worlds (rama/goblins/both)
## Test plan
- [ ] Dual Fokker-Planck convergence
- [ ] Counterfactual world accessibility
- [ ] Triangle inequality verification
- [ ] GF(3) conservation across agents
🤖 Generated with [Claude Code](https://claude.com/claude-code)
```
---
**Skill Name**: gay-fokker-planck-staging
**Type**: Staging Gate Coordinator
**Trit**: 0 (ERGODIC)
**Condition**: (rama OR goblins)
**FP Gates**: 2 per staging
**Counterfactual Worlds**: 3 per skill (rama, goblins, both)Related Skills
hunting-for-data-staging-before-exfiltration
Detect data staging activity before exfiltration by monitoring for archive creation with 7-Zip/RAR, unusual temp folder access, large file consolidation, and staging directory patterns via EDR and process telemetry
fokker-planck-analyzer
Layer 5: Convergence to Equilibrium Analysis
zx-calculus
Coecke's ZX-calculus for quantum circuit reasoning via string diagrams with Z-spiders (green) and X-spiders (red)
zulip-cogen
Zulip Cogen Skill 🐸⚡
zls-integration
zls-integration skill
zig
zig skill
zig-syrup-bci
Multimodal BCI pipeline in Zig: DSI-24 EEG, fNIRS mBLL, eye tracking IVT, LSL sync, EDF read/write, GF(3) conservation
zig-programming
zig-programming skill
zeroth-bot
Zeroth Bot - 3D-printed open-source humanoid robot platform for sim-to-real and RL research. Affordable entry point for humanoid robotics.
xlsx
Comprehensive spreadsheet creation, editing, and analysis with support
wycheproof
Google's Wycheproof test vectors for cryptographic implementation testing.
Writing Hookify Rules
This skill should be used when the user asks to "create a hookify rule", "write a hook rule", "configure hookify", "add a hookify rule", or needs guidance on hookify rule syntax and patterns.