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codex-wsl2-setup
codex-wsl2-setup contains 4 collected skills from congmnguyen, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Create native editable draw.io diagrams as .drawio files and optionally export them to PNG, SVG, PDF, JPG, or browser URLs. Use when Codex needs to create, generate, draw, or design a diagram, flowchart, architecture diagram, ER diagram, sequence diagram, class diagram, network diagram, mockup, wireframe, UI sketch, or work with draw.io, drawio, drawoi, .drawio files, or diagram export.
Summarize the current conversation into a handoff file saved to ~/.claude/handoffs/
Automate browser interactions, test web pages and work with Playwright tests.
PyTorch model-building conventions and a neural-net training debug checklist. Use this skill whenever writing or reviewing PyTorch code that defines a model (nn.Linear, nn.Conv2d, BatchNorm) or trains one (training loop, optimizer, LR schedule), and ESPECIALLY when debugging training problems — loss not converging, loss stuck or flat, suspiciously slow learning, "hockey stick" loss curves, or a model that seems to ignore its inputs. Also consult it before starting any from-scratch training run, even if the user doesn't mention debugging.