{ "$schema": "internal://schemas/plugin.lock.v1.json", "pluginId": "gh:tachyon-beep/skillpacks:plugins/yzmir-pytorch-engineering", "normalized": { "repo": null, "ref": "refs/tags/v20251128.0", "commit": "c45b1555fb4c8666e53c2b16c586491a1a5d0ee5", "treeHash": "11918571831c1e52d109e8e9c742724b7031eb7d1007e15048993003e618372e", "generatedAt": "2025-11-28T10:28:34.440590Z", "toolVersion": "publish_plugins.py@0.2.0" }, "origin": { "remote": "git@github.com:zhongweili/42plugin-data.git", "branch": "master", "commit": "aa1497ed0949fd50e99e70d6324a29c5b34f9390", "repoRoot": "/Users/zhongweili/projects/openmind/42plugin-data" }, "manifest": { "name": "yzmir-pytorch-engineering", "description": "PyTorch mastery - tensors, modules, distributed training, profiling - 9 skills", "version": "1.0.1" }, "content": { "files": [ { "path": "README.md", "sha256": "edbafa09f91147fc403a0decd006b74c60f5bae5f7003694a1e59cba4c80a475" }, { "path": ".claude-plugin/plugin.json", "sha256": "aecde7740c7f61fd33ec95110f086f29aa136434bddb8ef4d78f1be539062845" }, { "path": "skills/using-pytorch-engineering/custom-autograd-functions.md", "sha256": "8edecd99f3c62600b6fee4bb3f2bd4b44a8b30d9e29a0263fac6c3b6665be882" }, { "path": "skills/using-pytorch-engineering/module-design-patterns.md", "sha256": "89a1eabb0dc7ab560d1f68c164c7a8fa389e2c1a0492e9720dc974d4d86d0ec3" }, { "path": "skills/using-pytorch-engineering/mixed-precision-and-optimization.md", "sha256": "15a5be06a2199d0883c25c70c7be7fa662ccf01f4a5c33ec59bc64fbad11666b" }, { "path": "skills/using-pytorch-engineering/checkpointing-and-reproducibility.md", "sha256": "940e6fd7f616418a9884c41d8d1e63ce56f038731c793b071cc08067e41bb7e2" }, { "path": "skills/using-pytorch-engineering/debugging-techniques.md", "sha256": "7c8992277f22d37f4b4f8d091db348368f22d3f83a4bb7cd00d4e6ae8016da9e" }, { "path": "skills/using-pytorch-engineering/distributed-training-strategies.md", "sha256": "d6defa1eabb4667825b3fb5e2c63330a2300d5824e0c33d5af88d1058c7b9cbe" }, { "path": "skills/using-pytorch-engineering/SKILL.md", "sha256": "c1be23b09cb4863234b3b9cb915260adbb0580c061be3f7961320bdd79567c30" }, { "path": "skills/using-pytorch-engineering/tensor-operations-and-memory.md", "sha256": "1809a55e08c1bfb8254611eef381711ba7b771573d49e158265a0e1c80b6e3b3" }, { "path": "skills/using-pytorch-engineering/performance-profiling.md", "sha256": "87684ad0aeebf1b274d74cc98d83ac033490df027edf5a1281996824550cfce4" } ], "dirSha256": "11918571831c1e52d109e8e9c742724b7031eb7d1007e15048993003e618372e" }, "security": { "scannedAt": null, "scannerVersion": null, "flags": [] } }