GL

Capture, organize, and validate architectural decisions into a coherent documentation suite.

18|2|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/MetalLegBob/solana-vibes-kit --skill gl
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: GL
Source: https://github.com/MetalLegBob/solana-vibes-kit/tree/main/grand-library
Command: npx skills add https://github.com/MetalLegBob/solana-vibes-kit --skill gl

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pypdf, pdfplumber, pdf2image.

What problem does it solve?

Grand Library standardizes and codifies project decisions into a repeatable documentation workflow, ensuring every choice is explicit, auditable, and aligned across the entire documentation suite.

Core Features & Use Cases

  • Adaptive, multi-phase pipeline (survey → interview → draft → reconcile) that accelerates project scoping and specification.
  • Per-topic DECISIONS files that capture choices, rationales, and dependencies, enabling consistent downstream documentation.
  • Domain packs, templates, and an orchestrated drafting process that outputs a coherent set of foundation and wave documents.
  • Reconciliation passes that check for contradictions, gaps, and verifications across the document suite.

Quick Start

To begin, run /GL:survey to start the Grand Library onboarding workflow.

Frequently Asked Questions about GL

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

FAQPage Schema
How do I generate validated project specifications from architectural decisions?

To generate validated project specifications, you run an adaptive pipeline that surveys existing codebases, interviews stakeholders, drafts documents, and reconciles them for consistency. This produces a coherent suite of testable specs aligned with your architectural decisions.

What is the best way to capture and organize architectural rationales for a new project?

Capturing architectural rationales involves creating per-topic DECISIONS files that explicitly record choices, dependencies, and justifications. This standardizes project decisions into an auditable, repeatable documentation workflow.

Can I use template-driven documentation for an existing codebase?

Yes, template-driven documentation applies to both greenfield projects and existing codebases. It guides discovery and decision capture through domain packs, ensuring choices are aligned across the documentation suite.

How do I check for contradictions across a project documentation suite?

To check for contradictions across a documentation suite, you perform reconciliation passes against the DOC_MANIFEST and DECISIONS files. This process identifies gaps, contradictions, and verifications to ensure consistency.

Do I need YAML frontmatter to start the project scoping workflow?

Yes, YAML frontmatter in SKILL.md is required to start the project scoping workflow. It supports the orchestration of interview, drafting, and reconciliation agents needed to produce consistent documentation.