torchtalk
01Plugin Claude Code
MCP server giving Claude Code cross-language understanding of PyTorch (Python -> C++ -> CUDA): binding-chain tracing, impact analysis, dispatch mapping, call graphs, and test discovery.
Plugin Claude Code
MCP server giving Claude Code cross-language understanding of PyTorch (Python -> C++ -> CUDA): binding-chain tracing, impact analysis, dispatch mapping, call graphs, and test discovery.
Command Claude Code
Trace a PyTorch function's cross-language binding chain.
Skill Claude CodeCodex
Analyze PyTorch internals across Python, C++, and CUDA layers. Use when asked about how PyTorch operators work internally, where functions are implemented (CPU/CUDA backends), what would break if code is modified (impact analysis), how torch.nn modules connect to native code, or finding tests for PyTorch operators.…
MCP server Claude CodeCodexCursor +2
MCP server "torchtalk" as configured in TorchedHat/torchtalk. Launched with torchtalk mcp-serve --harness pytorch. Needs 1 environment variable to run.
Instructions file
Instructions for TorchedHat/torchtalk, covering claude.md, commands, install, test and lint.
Hook
Runs when a session starts, executing plugin-setup.sh. From TorchedHat/torchtalk.
Plugin Claude Code
Torch Accelerator Integration Readiness — evaluate how well a hardware accelerator integrates with PyTorch.
Plugin Claude Code
Torch Accelerator Integration Readiness — evaluate how well a hardware accelerator integrates with PyTorch.
Skill Claude CodeCodex
Evaluate a hardware accelerator's integration readiness with PyTorch. Use when checking if an accelerator (XPU, NPU, openreg, HPU, custom) supports PyTorch's PrivateUse1/fork integration (device management, hooks, operators, AMP, autograd, torch.compile, distributed, profiler, serialization). Accepts a backend name or…
Skill Claude CodeCodex
../../SKILL.md.