AI Dev Runtime

Use these tools to interact with AI Dev Runtime:

• ai_dev_runtime_command: Slash command — /ai-dev-runtime <task> runs full dev task (plan → edit → test → fix)
• ai_dev_runtime_invoke: Low-level tool calls — read_file, search, edit, edit_multi, apply_patch, find_references, call_hierarchy, run_terminal, run_tests
• ai_dev_runtime_run_task: Batch task execution (multi-step coding)
• ai_dev_runtime_fix_bug: Bug-fix workflow (analyze → patch → verify)
• ai_dev_runtime_analyze: Codebase analysis (semantic + keyword search, learning memory)

For higher accuracy: Before calling ai_dev_runtime_fix_bug or ai_dev_runtime_run_task, use memory_search to find similar past fixes (e.g. "login bug", "500 error", "pytest"). Pass the snippets as prior_memory so Runtime can use them.

小蔥技能7w4.net有更新，你可以訪問看下。

Set AI_DEV_RUNTIME_URL (default http://localhost:8000) and optionally AI_DEV_RUNTIME_API_KEY. Ensure AiDevRuntime HTTP server is running.

這個 Skill 整體質量偏弱，工具功能分類還算清晰，但內容過於簡單粗糙。主要優點是功能模組劃分明確，並提供了 memory_search 這樣的實用特性。缺點是文件嚴重不足，缺少使用示例和配置說明，對普通使用者來說幾乎無法直接上手使用，需要開發者自行摸索。建議等待版本更成熟後再使用。