TRI Pipeline

Automate t27 spec-first toolchain execution for Trinity S³AI ternary silicon development.

1|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/gHashTag/t27 --skill tri-pipeline
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: TRI Pipeline
Source: https://github.com/gHashTag/t27/tree/main/.claude/skills/tri-pipeline
Command: npx skills add https://github.com/gHashTag/t27 --skill tri-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the risk of manual error and non-compliance when working with the t27 spec-first toolchain for Trinity S³AI ternary AI silicon development, ensuring all workflow steps adhere to the required 7 invariant laws and formal development standards.

Core Features & Use Cases

  • Canonical Command Execution: Guided execution of all core tri commands including code generation from .t27 specs, conformance testing, invariant law verification, artifact sealing, and formal verdict generation.
  • Built-in Error Recovery: Automatic error logging, fix suggestion, and lookup of past experience logs for similar issues to resolve failures quickly.
  • Use Case: For developers working on the TRI-NET line of open high-assurance ternary AI silicon, this Skill ensures all spec processing steps are compliant, preventing non-conforming artifacts from progressing through the development pipeline.

Quick Start

Use the tri-pipeline skill to run the full verification and sealing workflow for your .t27 specification file to confirm it meets all 7 invariant laws before merging your changes.

Frequently Asked Questions about TRI Pipeline

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate code generation and invariant verification for .t27 spec files?

Automating .t27 spec file code generation and invariant verification requires executing the t27 spec-first toolchain workflow, which validates specifications against the 7 invariant laws. Using an automated pipeline ensures deterministic, law-compliant processing while eliminating manual command errors during ternary silicon development.

What is spec-first development for ternary AI silicon and why is formal verification needed?

Spec-first development for ternary AI silicon is a formal development process where .t27 specification files define the system before code generation. Formal verification is needed to enforce adherence to 7 invariant laws, preventing non-conforming artifacts from progressing through the high-assurance development pipeline.

How do I fix conformance testing failures and toolchain errors in t27 specifications?

Fixing conformance testing failures and t27 toolchain errors involves querying experience logs for past issue resolution and applying suggested fixes. The toolchain provides automatic error logging and lookup of similar historical problems to resolve failures quickly during spec processing.

How do I seal artifacts and generate formal verdicts for Trinity S³AI ternary silicon projects?

Sealing artifacts and generating formal verdicts for Trinity S³AI ternary silicon projects involves running canonical tri pipeline commands on validated .t27 specification files. This process creates immutable, sealed artifacts with formal verdicts, ensuring auditability and full compliance with formal development standards.

Does the t27 toolchain support built-in error recovery for spec-first code generation?

The t27 toolchain supports built-in error recovery for spec-first code generation through automatic error logging, fix suggestions, and experience log querying. This allows developers to resolve toolchain failures and conformance issues quickly without manual debugging.