Prepare video URLs or local video files for GitHub Copilot analysis by extracting captions, sampled frames, contact sheets, and a prompt packet. Use when the user asks Copilot to watch, inspect, summarize, or diagnose a video, screen recording, demo, webinar, YouTube/Loom/TikTok/X/Vimeo URL, or .mp4/.mov/.mkv/.webm file.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Prepare video artifacts that GitHub Copilot can inspect: captions, frame contact sheets, a frame index, a manifest, and a prompt packet.
This skill is inspired by bradautomates/claude-video, but it targets GitHub Copilot workflows. Do not assume Claude Code Read parallelism. Generate files first, then inspect only the artifacts needed for the user's question.
yt-dlp, or a local .mp4, .mov, .mkv, or .webm file.python <skill-dir>/scripts/preflight.py
Use python <skill-dir>/scripts/preflight.py --url-mode for URL inputs.python <skill-dir>/scripts/video_watch.py <url-or-path> --question "<what to answer>"
Use --transcript-file <path> when another tool, Azure Speech, or Speech Translator Desktop Plus already produced a transcript.
For private or authenticated media, prefer --detail transcript --metadata-only --transcript-file <path> and do not pass cookies, bearer tokens, or signed URL credentials.manifest.json → prompt.md → transcript.md → frame-index.md → contact-sheet.jpg → selected files in frames/ only if needed.
manifest.json records SHA-256 for local source bytes, or for downloaded URL video bytes when a download occurred. Metadata-only URL runs leave the hash null rather than fetching media.--start / --end to focus the frame budget.| Mode | Use |
|---|---|
transcript | Captions or sidecar transcript only. Fastest. |
efficient | Small visual pass for quick triage. |
balanced | Default contact sheet for most screen recordings and demos. |
token-burner | Larger visual pass when the user explicitly needs broad visual coverage. |
SKILL.md, scripts, and references for self-contained behavior, trigger quality, line count, and executable validation.| Need | Reference |
|---|---|
| Detailed workflow | references/workflow.md |
| Dependencies and setup | references/dependencies.md |
| Frame budget and contact sheets | references/frame-budget.md |
| Optional Scout/Whisper/Azure Speech backends | references/backends.md |
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Design, review, and debug agent workflows, and decide when a request should use a prompt, instruction, skill, agent, or hook before escalating to multi-agent design. Use for .agent.md / .instructions.md / .prompt.md / AGENTS.md work, workflow architecture, orchestration planning, scheduled automation model allocation, or when agent workflows may be overkill. Triggers on 'agent workflow', 'create agent', 'automation models', 'ワークフロー設計', 'orchestrator'.
Design, run, and review fair performance, token, and cost comparisons across GitHub Copilot CLI, Codex CLI, and direct model APIs. Use for AI CLI benchmark, Copilot vs Codex, prompt-cache diagnosis, cache read/write analysis, fresh-process latency measurement, token-cost comparison, or when a benchmark must separate provider caching from local CLI caches.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze historical VS Code GitHub Copilot Chat sessions by model, reasoning effort, AIU, time, reliability, workflow behavior, and external quality evidence, or safely prune workspace-scoped local chat history by age. Use for session analysis, repeated-task retrospectives, model evaluation, cost/performance analysis, and old session cleanup.
日本語の概要は準備中です。原文の説明を表示しています。
Create reproducible animated infographic GIFs from structured data or measured results, with audience-language labels, explicit timing semantics, representative-frame QA, and a static fallback. Use when asked for GIF生成, animated infographic, 動的インフォグラフィック, 結果が流れる図, animated benchmark, or a blog/SNS animation whose displayed metrics must remain traceable to source data.
Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid. Also use for Archify, interactive or animated HTML diagrams, インタラクティブ図, 動く構成図. When an editable .drawio file is required, use the draw.io workflow instead and treat Archify HTML only as a supplement.
Generate ASCII-art text banners for terminals, READMEs, and CLI startup messages. Use when a user asks for an ASCII banner, text art, バナー, アスキーアート, or a decorative header for a script/README.