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grace-explainer

Explain GRACE methodology with contracts, knowledge graphs, and semantic markup.

3|2|Updated Apr 1, 2026
Search Tags:#documentation#verification#semantic-markup#knowledge-graph#module-contracts#grace
One-click install
npx skills add https://github.com/ShutovKS/tts-server --skill grace-explainer-shutovks
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: grace-explainer
Source: https://github.com/ShutovKS/tts-server/tree/main/.opencode/skills/grace-explainer
Command: npx skills add https://github.com/ShutovKS/tts-server --skill grace-explainer-shutovks

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

GRACE provides a navigable framework for AI-assisted codebases by structuring modules, contracts, and knowledge graphs so agents can reason about architecture, interfaces, and validation without losing context across sessions.

Core Features & Use Cases

  • Knowledge Graph: maps modules, public interfaces, and dependencies to keep codebases discoverable.
  • Module Contracts: defines PURPOSE, SCOPE, INPUTS, OUTPUTS to enforce public interfaces and intent.
  • Semantic Markup: uses navigable code anchors to enable precise code traversal.
  • Verification Plans: links tests and traces to architectural commitments for dependable delivery.
  • Use Case: onboard a new project by summarizing GRACE artifacts and guiding contract-driven development.

Quick Start

Summarize GRACE's core principles and artifacts to onboard a new project and explain how to apply them in a codebase.

Frequently Asked Questions about grace-explainer

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

FAQPage Schema
How do I structure module contracts for AI-assisted codebases to maintain context across sessions?▼

Knowledge graphs map modules, public interfaces, and dependencies to keep codebases discoverable for AI agents. By structuring these relationships graphically, agents can traverse architectural commitments and verify interfaces without manual context reconstruction across sessions.

How do I onboard a new project using navigable code bases and semantic markup?▼

Onboarding a new project involves summarizing navigable artifacts and guiding contract-driven development. By detailing public interfaces, module contracts, verification plans, and governance rules, you establish semantic anchors that enable precise code traversal and architectural reasoning from day one.

What is the best way to link verification plans to architectural commitments in code?▼

The best way to link verification plans to architectural commitments is by connecting tests and traces directly to public interface definitions. This ensures dependable delivery by validating that module contracts are honored and semantic markup accurately reflects code behavior.

Do I need semantic markup to enable precise code traversal for AI agents?▼

GRACE distinguishes itself from standard documentation by structuring modules, contracts, and knowledge graphs specifically for AI-assisted reasoning. It enforces a shared XML artifact model containing module contract headers, semantic blocks, and verification references rather than relying on static text descriptions.

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