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Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`).
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Use when routing an ambiguous Computer Vision task to a bounded local, webapp, model, dataset, demo, and verification skill stack.
Use when starting a Computer Vision web application with Next.js, FastAPI, browser MediaPipe, typed APIs, bounded uploads, and private media handling.
Use when extracting, labeling, splitting, converting, validating, or versioning Computer Vision datasets with provenance, privacy, and leakage controls.
Use when building browser or Python hand, gesture, face, or pose interactions with smoothing, semantic events, and privacy-preserving media handling.
Use when building or reviewing OpenCV image, video, or webcam frame loops with deterministic fallbacks, performance measurement, and reliable cleanup.
Use when packaging an existing Computer Vision pipeline as a reproducible local CLI or lightweight demo with explicit artifacts and verification.
| name | yeet |
| description | Use only when the user explicitly asks to stage, commit, push, and open a GitHub pull request in one flow using the GitHub CLI (`gh`). |
gh. Check gh --version. If missing, ask the user to install gh and stop.gh session. Run gh auth status. If not authenticated, ask the user to run gh auth login (and re-run gh auth status) before continuing.{description} when starting from main/master/default.{description} (terse).{description} summarizing the full diff.git checkout -b "{description}"git status -sb then git add -A.git commit -m "{description}"git push -u origin $(git branch --show-current)GH_PROMPT_DISABLED=1 GIT_TERMINAL_PROMPT=0 gh pr create --draft --fill --head $(git branch --show-current)