trellis-update-spec

Capture technical knowledge and design decisions into structured code-spec markdown documentation.

77|13|Updated Apr 26, 2025
One-click install
npx skills add https://github.com/huangjunsen0406/UnifyPy --skill trellis-update-spec-huangjunsen0406
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: trellis-update-spec
Source: https://github.com/huangjunsen0406/UnifyPy/tree/main/.claude/skills/trellis-update-spec
Command: npx skills add https://github.com/huangjunsen0406/UnifyPy --skill trellis-update-spec-huangjunsen0406

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of institutional knowledge loss by ensuring that valuable debugging insights, design decisions, and implementation contracts are captured as living documentation rather than being forgotten in chat history.

Core Features & Use Cases

  • Executable Contract Capture: Documents concrete API signatures, payload fields, and error matrices for future AI and developer reference.
  • Design Decision Tracking: Provides a structured way to record the rationale behind architectural choices, preventing the repetition of past mistakes.
  • Use Case: After resolving a complex bug involving a cross-layer data flow, use this skill to update the relevant code-spec with the new validation rules and error handling patterns to ensure the fix is permanent and understood by the team.

Quick Start

Use the trellis-update-spec skill to document the new API contract and validation logic for the recently implemented authentication module.

Frequently Asked Questions about trellis-update-spec

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

FAQPage Schema
How do I document code specifications and design logic for cross-layer integration?

You document code specifications by capturing technical knowledge and implementation contracts into structured markdown templates. This formalizes architectural patterns and API signatures into living documentation for future reference.

What is the best way to track design decisions and prevent institutional knowledge loss?

Tracking design decisions involves recording the rationale behind architectural choices in structured documentation. This prevents institutional memory loss and stops the repetition of past debugging mistakes across the software development lifecycle.

How do I capture executable API contracts and validation matrices in markdown?

Capturing executable API contracts requires documenting concrete API signatures, payload fields, and error matrices using defined markdown templates. This ensures future execution safety and provides reference for validation logic.

Does this code-spec documentation approach work for managing technical debt?

Yes, this approach manages technical debt by formalizing implementation contracts and design decisions into structured code-spec documentation. It targets cross-layer integration patterns and ensures debugging insights become permanent documentation.

When do I need to update code-spec documentation for software architecture?

You need to update code-spec documentation after resolving complex bugs or implementing new modules. It captures new validation rules, error handling patterns, and architectural changes to ensure fixes are permanent and understood.

Can I use markdown templates for test assertions and design decision tracking?

Yes, you use defined markdown templates for test assertions, signatures, and validation matrices. This structured approach captures executable contracts and tracks design decisions to maintain institutional memory.