Technical debt often starts with missing or outdated documentation. In the AI era, documentation isn't just for humans—it's the blueprint for the AI.
Why Traditional Specs Fail
Standard PRDs are too vague. They don't provide the method signatures or logic flows an AI needs to be accurate.
The Spec-Forge Workflow
spec-forge is a professional skill that bridges the gap between idea and implementation:
Deep Repo Scanning: It identifies your existing patterns so the design is "native" to your project.
Mermaid C4 Diagrams: Visualizing containers and components as code.
Implementable Specs: It generates high-granularity feature docs that AI coding tools (like code-forge) can execute without guessing.
Stop treating design as an afterthought. Let the AI help you architect a better system. 🏗️
🛠️ Open Source AI Skills
All the Skills mentioned in this series (spec-forge, code-forge, hype-forge, etc.) are open-source and available on GitHub. They are compatible with Gemini CLI and Claude Code:
👉 GitHub Repository: tercel/tercel-claude-plugins (Give it a Star if you find it useful!)
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