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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`).
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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)