We’ve all been there: asking a LLM to implement a complex feature, only to get a 200-line solution that fails immediately.
The problem isn't the AI's intelligence. It's the Medium. A chat window is a silo. It has no hands, no terminal, and no memory.
The "Manual Prompting" Tax
Prompting is the new manual labor. You are the one syncing files and running tests. This is high-friction and error-prone.
Skills change the game by giving the AI a "Body": the ability to read, write, and execute in your local environment.
The Forging Stack
Spec-Forge: Automated Technical Design.
Code-Forge: Autonomous TDD Execution.
Hype-Forge: Technical Advocacy and Content.
We move from "I think it works" to "The terminal says it works." 🚀
🛠️ 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!)
