Skip to main content

weekly-demo-video

**WORKFLOW SKILL** — Generate narrated weekly demo videos for azd features. Pulls latest commits, identifies demo-worthy features, researches PRs, and produces MP4 videos with dark-themed slides and neural TTS narration. INVOKES: Python, Pillow, ffmpeg, edge-tts, explore sub-agents, ask_user. USE FOR: weekly demo, generate demo video, demo video, sprint demo, create demo, make demo video, demo for LT, weekly demo video, azd demo. DO NOT USE FOR: general video editing, non-azd demos, slide decks without video, weekly reports (use weekly-report).

Quellinformationen

Repository
Azure/azure-dev
Letzte Quellaktivität
20. Mai 2026 um 15:37
Erkannte Sprache von SKILL.md
Englisch
Sterne
570
Forks
368

Installationsoptionen

Standardmäßig ist der Prompt ausgewählt, der zuerst die Quelle prüft. Sie können zu einem direkten Befehl wechseln oder eine lokale Kopie herunterladen.

Quelldateien prüfen

Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

Datei-Explorer
2 Dateien

SKILL.md wird angezeigt

SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
weekly-demo-video
license
MIT
metadata
{"version":"1.0"}
description
**WORKFLOW SKILL** — Generate narrated weekly demo videos for azd features. Pulls latest commits, identifies demo-worthy features, researches PRs, and produces MP4 videos with dark-themed slides and neural TTS narration. INVOKES: Python, Pillow, ffmpeg, edge-tts, explore sub-agents, ask_user. USE FOR: weekly demo, generate demo video, demo video, sprint demo, create demo, make demo video, demo for LT, weekly demo video, azd demo. DO NOT USE FOR: general video editing, non-azd demos, slide decks without video, weekly reports (use weekly-report).
# Weekly Demo Video Generator Generates narrated MP4 demo videos for azd features using Python + Pillow + edge-tts + ffmpeg. ## Prerequisites Ensure these tools are installed: | Tool | Purpose | |------|---------| | Python 3 | Script execution | | Pillow | Slide generation (`pip install Pillow`) | | ffmpeg | Video/audio stitch | | edge-tts | Neural TTS (`pip install edge-tts`) | Verify prerequisites (bash): ```bash python3 -c "from PIL import Image; print('ok')" ffmpeg -version edge-tts --list-voices > /dev/null ``` ## Execution Flow ### Step 1: Pull latest ```bash cd <repo-root> # the azure-dev repository root git checkout main && git pull --rebase ``` ### Step 2: Find commits for the week Replace the dates below with the actual week range: ```bash git log --oneline --since="YYYY-MM-DD" --until="YYYY-MM-DD" --no-merges ``` Use the current week window (7 days). For sprint demos, use a 2-week window. ### Step 3: Identify demo-worthy features Group related commits. Skip: typos, CI fixes, test-only, deps bumps, docs-only. Look for: new commands, UX improvements, perf gains, new flags, agent features. Use explore agents in parallel to research each feature group (give them specific commit SHAs). ### Step 4: Confirm with user Present a table of proposed demos. Ask user to confirm or adjust before generating. ### Step 5: Generate videos Follow the conventions strictly: {{ references/CONVENTIONS.md }} ### Step 6: Report List generated videos with filenames and durations. Offer short descriptions for docs. ## Error Handling - **edge-tts failure**: Retry once. If it fails again, log the error and skip that slide's audio — notify the user. - **ffmpeg failure**: Check the ffmpeg error output. Common issues: missing codec, invalid image path. Print the error and stop — don't produce a partial video. - **Font not found**: Falls back to `ImageFont.load_default()` automatically. Warn the user that slides may look different. ## Output All videos go to: `<repo-root>/demo-video/` > **Note:** `demo-video/` is listed in `.gitignore` to prevent accidental commits. ## Demo Naming - **Weekly demos**: `azd_weekly_demo_{date}_{name}.mp4` (e.g. `azd_weekly_demo_may_07_exegraph.mp4`) - **Sprint demos**: `azd_sprint_demo_{date}_{name}.mp4` (e.g. `azd_sprint_demo_apr_28_agent_sessions.mp4`)
Auf GitHub ansehen