triad-interleave

Interleave three deterministic color streams into balanced schedules for parallel execution and evaluation.

16 stars

byplurigrid

View on GitHub Installation ↓

Best use case

triad-interleave is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Interleave three deterministic color streams into balanced schedules for parallel execution and evaluation.

Teams using triad-interleave 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/triad-interleave/SKILL.md --create-dirs "https://raw.githubusercontent.com/plurigrid/asi/main/ies/music-topos/.claude-marketplaces/topos-skills/plugins/topos-skills/skills/triad-interleave/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/triad-interleave/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How triad-interleave Compares

Feature / Agent	triad-interleave	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?

Interleave three deterministic color streams into balanced schedules for parallel execution and evaluation.

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

# Triad Interleave

Use this skill when asked to interleave three color streams, build triad schedules, or combine "color://" resources.

## Inputs
- sources: list of three sources (splitmix_ternary, xoroshiro_3color, gay_mcp)
- seed: hex or int
- n: number of triplets
- policy: round_robin | gf3_balanced

## Workflow
1. Generate triplets from each source.
2. Validate GF(3) sum per triplet.
3. Build schedule per policy.
4. Emit deterministic log.

## Source commands (music-topos)
- SplitMixTernary:
  `ruby -I lib -r splitmix_ternary -e "p SplitMixTernary.tripartite(0x42D).generate(5)"`
- Xoroshiro3Color:
  `ruby -I lib -r xoroshiro_3color -e "p Xoroshiro3Color::TripartiteStreams.new(0x42D).generate(5)"`
- Gay MCP: use `interleave` with `n_streams: 3` and `count: N`.

## Output schema
- schedule_id, seed, n, policy
- entries: index, stream_id, triplet_id, trit, hex, L, C, H

## Checks
- same seed -> same output
- per-stream order preserved
- GF(3) sum == 0 for each triplet

## Example prompt
"Interleave three streams (SplitMixTernary, Xoroshiro3Color, Gay MCP) for N=10 and output a deterministic schedule."

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