congmnguyen/claude-code-wsl2-setup
Instructions file CodexOpenCode
Instructions for congmnguyen/claude-code-wsl2-setup, a project described as: Claude Code WSL2 setup with image paste, notifications, LSP, context-saving hooks, and Codex delegation.
congmnguyen/claude-code-wsl2-setup
Instructions file
Instructions for congmnguyen/claude-code-wsl2-setup, covering claude.md, purpose, non-obvious constraints, verification and setup requests.
congmnguyen/claude-code-wsl2-setup
Agent
Designs feature architectures by analyzing existing codebase patterns and conventions, then providing comprehensive implementation blueprints with specific files to create/modify, component designs, data flows, and build sequences.
congmnguyen/claude-code-wsl2-setup
Agent
Delegate a well-specified implementation, refactor, migration, or bulk-mechanical coding task to the configured Codex CLI model and return ONLY a compact summary. Keeps Codex's large transcript out of the orchestrator's context. Use for multi-step tasks; not for tiny one-shot edits.
congmnguyen/claude-code-wsl2-setup
Skill Claude CodeCodex
Delegate a heavy or mechanical coding task to the configured Codex CLI model via a low-effort Sonnet wrapper, so Codex's large transcript stays OUT of the main orchestrator context. Trigger when the user says "delegate to codex", "hand this to codex", "let codex do X", or when a well-specified…
congmnguyen/claude-code-wsl2-setup
Skill Claude CodeCodex
Commit, push, and open a PR.
congmnguyen/claude-code-wsl2-setup
Skill Claude CodeCodex
Tutor the user toward deep understanding of a topic, codebase, paper, artifact, or concept through incremental explanation, active recall, and verification. Use when the user asks to be taught, wants to understand something deeply, says "teach me", "walk me through", "explain until I get it", "quiz me", asks for…
congmnguyen/claude-code-wsl2-setup
Skill Claude CodeCodex
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…