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Download a source video from a YouTube/URL into ./work/<id>/source.mp4 using yt-dlp, and emit ingest.json with metadata (title, duration, fps, url, source_id). First step of the shorts pipeline.
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| name | ingest |
| description | Download a source video from a YouTube/URL into ./work/<id>/source.mp4 using yt-dlp, and emit ingest.json with metadata (title, duration, fps, url, source_id). First step of the shorts pipeline. |
Thin yt-dlp wrapper. Atomic: one URL in, one source.mp4 + ingest.json out.
Idempotent — if source.mp4 and ingest.json already exist for the same
URL hash, skips the download.
url: video URL (required)id (optional): source id slug; defaults to a short sha1 of the URLworkdir (optional): root work directory; defaults to ./work./work/<id>/source.mp4 — the downloaded video, mp4 container./work/<id>/ingest.json — metadata, shaped as:{
"id": "<id>",
"url": "<url>",
"title": "...",
"duration": 183.4,
"fps": 30.0,
"width": 1920,
"height": 1080,
"path": "work/<id>/source.mp4"
}
id from URL (sha1(url)[:10]) if not given.mkdir -p work/<id>.yt-dlp -f 'bv*+ba/b' --merge-output-format mp4 --embed-metadata --print-to-file '%(title)s' work/<id>/.title.txt -o 'work/<id>/source.%(ext)s' <url>ffprobe -v error -print_format json -show_format -show_streams work/<id>/source.mp4
→ extract duration, fps, width, height..title.txt (merged-mp4 container tags are unreliable and often empty); falls back to the container title tag.ingest.json..claude/skills/ingest/ingest.sh <url> [id]
Implemented. See ingest.sh.
Animate the title as a COLD OPEN in the TOP banner over the live opening footage — no blocking center card — held until TITLE_SWAP (default 2.0s) so brand-overlays can hand off to the source citation in the same slot. Frame 1 stays content (a face mid-sentence) to protect the swipe-rate / "Stayed to Watch" signal. ONE animation for every short — the glitch style (RGB-split banner + scanline tear, style-matched zap/crackle SFX) — a PIL frame sequence anchored at TITLE_ANCHOR_FRAC (default 0.135).
Generate a per-clip third-person engagement-driven title card text. Claude reads the clip's transcript, the source ingest.json metadata, and (optionally) pick-segments' per-span judgment (topic, rationale, suggested title) so it reads the speaker's register — sincere vs ironic vs joking — before titling. Emits a hook-driven ALL-CAPS title (<=7 words).
Per-clip upload-readiness grade (0-99) read off a FINISHED .mp4 plus its persisted sidecar plans — the first skill that inspects a delivered pixel-level artifact, the on-disk proxy for YouTube's VVSA swipe gate. Deterministic retention-proxy floor (frame1_is_face, letterbox_bars, credit_lit_at_open, first_visual_change, first_payoff_offset, longest_static_gap, opening_caption_words, max_residual_silence, terminal_loop_score) with hard caps (letterbox / face_withheld / credit_at_open / blocking_card / dead_tail) that cap grade≤40, plus ONE batched Claude rubric call (hook↔payoff / open-loop / cold-context) skipped when GRADE_SKIP_CLAUDE=1. Runs at the END of the per-span chain (after save-local) AND standalone over the whole output/ backlog (--backlog → output/_triage.json). Emits clip_NN.grade.json per the locked SELECTION-SUITE-CONTRACT schema. Idempotent (.gcmeta), non-fatal (any error → DROSS/empty, exit 0).
Claude picks CONTEXTUAL/scene-level anchors from a clip transcript (literal objects, establishing shots, evocative concept footage matched to the story's tone — not just keyword nouns) and sources full-bleed B-roll cutaways via keyless yt-dlp YouTube search + mcptube frame-sampling + Claude vision verify. The verify step gets the spoken context and rejects literal-but-wrong matches (e.g. a cat laser toy for a tense "red dot" beat). Aims dense (8-12 windows, targeting cutaway footage on ~60%+ of the runtime; emits cutaway_coverage in the plan and WARNs below BROLL_MIN_COVER, default 0.6). Emits broll_plan.json with per-cutaway placement [t0,t1] and source metadata; clip files are namespaced per-clip. Windows snap to whole chunk-captions boundaries; vision calls capped by BROLL_VISION_CAP (default 16).
Pick N clip-worthy spans from a transcript. Claude reads the full transcript plus a per-second RMS energy summary and returns the most engaging time ranges for shorts. The atomic unit of a short is ONE IDEA, not one topic — each span carries `cuts` (1-3 non-contiguous source ranges assembled into one flowing story) plus `idea` (the one-sentence throughline all cuts share). A multi-cut span may pull cuts from DIFFERENT topics when they develop the same single idea; a single-cut span must stay within one topic and is just `cuts:[[t0,t1]]`. A 1-second SPOKEN hook is mandatory (no title card rescues a slow open — picks under PICK_HOOK_FLOOR are dropped). Replaces the old keyword/hook-word heuristic ranker.
Deterministic source-video discovery — the clip-channel "outlier" method, keyless. Searches seed niche queries via yt-dlp ytsearch, prefilters to long-form candidates, fetches full metadata, and ranks by outlier score (views/day velocity, views-per-subscriber ratio, comment engagement, replay-heatmap peakiness). Emits a ranked candidates.json to pick the next pipeline source from. No Claude call, no API key.