by skibidiskib · Codex Skill · ★ 262
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ai-codex This project was entirely designed, written, and published by Claude Code (Anthropic's AI coding assistant). The concept, implementation, documentation, and examples were all generated in a single conversation session. Generate a compact codebase index that gives AI coding assistants instant context about your project structure. Instead of wasting 50K+ tokens on file exploration at the start of every conversation, your AI assistant reads a pre-built index and gets to work immediately. Why Every time you start a conversation with an AI coding assistant (Claude Code, Cursor, GitHub Copilot, etc.), it spends thousands of tokens exploring your codebase -- reading files, scanning directories, building a mental model. This happens every single conversation. solves this by generating compact, structured reference files that capture: Every API route with its HTTP methods Every page with its rendering strategy (client vs. server) Every library function signature Your database schema (key fields, relationships) Your component tree with props The result: 5 small files that replace 50K+ tokens of explor
| Stars | 262 |
| Forks | 23 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 59.384/100 |
| Last Updated | 2026-05-30 |
| Created | 2026-04-02 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~10k |
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ai-codex is Generate a compact codebase index for AI assistants — saves 50K+ tokens per conversation. It is categorized as a Codex Skill with 262 GitHub stars.
ai-codex is primarily written in TypeScript. It covers topics such as ai-coding, claude, claude-code.
You can find installation instructions and usage details in the ai-codex GitHub repository at github.com/skibidiskib/ai-codex. The project has 262 stars and 23 forks, indicating an active community.
ai-codex is released under the MIT license, making it free to use and modify according to the license terms.
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