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contextforge
Context-aware coding intelligence with automatic codebase indexing, semantic RAG retrieval, and persistent cross-session memory
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Context-aware coding intelligence with automatic codebase indexing, semantic RAG retrieval, and persistent cross-session memory
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | contextforge |
| description | Context-aware coding intelligence with automatic codebase indexing, semantic RAG retrieval, and persistent cross-session memory |
You have access to injected codebase context from ContextForge. Use this context to provide more accurate, project-aware responses.
ContextForge injects several types of context automatically. When you see these sections, prioritize them over your general training knowledge:
A compact summary of the codebase structure including:
How to use: Reference this to understand the project's overall structure before suggesting changes. Ensure your suggestions align with the existing architecture.
Semantically retrieved code chunks that are relevant to the current user prompt. Each chunk includes:
How to use: These are the most relevant pieces of existing code to the user's question. Reference specific files and line numbers. Build on existing patterns rather than inventing new ones. If the retrieved context shows a particular coding style, follow it.
Coding patterns that have been observed multiple times across the project:
How to use: Always follow these conventions when writing new code. They represent the team's established patterns. For example, if the project uses UUID keys, use UUIDs for new entities. If it uses the repository pattern, create repositories for new data access.
Files that have been changed in recent sessions, indicating areas of active development.
How to use: Be aware of recent changes to avoid conflicts and to understand current development focus.