菜单
Test skill that runs a script from inside Claude. Use to verify that Claude can execute plugin-bundled scripts via ${CLAUDE_PLUGIN_ROOT}.
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 | run-inside-test |
| description | Test skill that runs a script from inside Claude. Use to verify that Claude can execute plugin-bundled scripts via ${CLAUDE_PLUGIN_ROOT}. |
Run the bundled test script and report its output.
${CLAUDE_PLUGIN_ROOT}/scripts/run_inside.shRefactor a PyTorch test file to be device-agnostic. Walks through analyzing test classes, classifying them (GENERIC/DEVICE_GENERIC/DEVICE_SPECIFIC/MULTI_DEVICE_GENERIC/MULTI_DEVICE_SPECIFIC), splitting mixed classes, adding hw_classification attributes, converting hardcoded device references, and verifying the refactoring. Use when refactoring any test file in the PyTorch repo for the device-agnostic testing initiative.
Reference for PyTorch distributed training hang patterns, NCCL communicator architecture, flight recorder output format, debug logging levels, and timeout configuration. Covers barrier deadlocks, p2p hangs after communicator abort, init timeouts from store, collective mismatches, and DDP unused parameter hangs. Includes ARCHITECTURE.md with source-level ProcessGroupNCCL internals (communicator lifecycle, watchdog, work queue, store-based init). Use as knowledge base for diagnosing why distributed training freezes.
Expert guidance for vLLM's custom compiler - focusing on @support_torch_compile decorator, vllmBackend/Inductor Passes, PiecewiseBackend, and CudaGraphWrapper. Use when debugging torch.compile issues within vllm, implementing fusion passes, configuring graph splitting, investigating guard dropping, or working with CUDA graph capture in vLLM.
Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns, file paths, content patterns), enforcement levels (block, suggest, warn), hook mechanisms (UserPromptSubmit, PreToolUse), session tracking, and the 500-line rule.
Create new Claude Code plugins from scratch with proper directory structure (.claude-plugin/plugin.json, skills/, agents/), or add existing plugins to marketplace.json. Use when creating a plugin, setting up plugin metadata, configuring MCP servers, or adding plugins to a marketplace.
Create and update agent definition files following Anthropic best practices. Use when writing agent files, creating subagents, designing agent systems, or troubleshooting agent discovery and delegation issues.