Exécutez n'importe quel Skill dans Manus
en un clic

Exécutez n'importe quel Skill dans Manus en un clic

broll-pick

Étoiles2

Forks0

Mis à jour10 juillet 2026 à 04:05

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).

Installation

Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.

Exécuter dans Manus

Source

jperrello

jperrello/C0BALT_CUT

Ouvrir le dépôt GitHub Voir les dépôts du créateur

Téléchargement

Exécuter dans Manus

Métiers associésSOC

Basé sur la classification professionnelle SOC

Monteurs de films et de vidéosArts, design, divertissement, sports et médias·SOC 27-4032

Explorateur de fichiers

10 fichiers

SKILL.md

readonly

name	broll-pick
description	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).
allowed-tools	Bash
user-invocable	true

broll-pick

Selects B-roll cutaways for one short. Claude reads the clip transcript + chunks.json (from chunk-captions) + the source ingest.json, picks the 3-5 strongest visualizable nouns/topics (NOUN/VERB/EMOTION/PIVOT), and spawns multiple short cutaway windows per topic — each intercut with the speaker, each preferring distinct footage. Windows are expressed as whole chunk-index ranges so no cut lands mid-word.

Per window: keyless YouTube discovery via the mcptube-bundled yt-dlp (ytsearchN:<query> — mcptube discover is NOT used, it requires an LLM API key the stack doesn't have), then mcptube add the candidate, sample 3 frames via mcptube frame, and show Claude the frame grid (claude -p vision) to pick the best on-subject shot or reject. On reject, the query is rewritten once (literal↔metaphorical) and retried; a second miss drops the window — no fallback footage. Chosen segments download via yt-dlp --download-sections into work/<id>/broll/broll_NN.mp4.

Invoke

.claude/skills/broll-pick/broll-pick.sh <clip_transcript.json> <chunks.json> <ingest.json> <out_broll_plan.json>

clip_transcript: per-clip transcript with words[] (clip-local times)
chunks: chunk-captions output (chunks[] with t0/t1/text)
ingest: work/<id>/ingest.json (title + source url)
out: path for broll_plan.json; b-roll clips land in <ingest_dir>/broll/

Env

BROLL_VISION_CAP (default 10) — max Claude vision calls per clip.
BROLL_PICK=0 — disable; emits an empty plan.
MCPTUBE_BIN, MCPTUBE_YTDLP — override binary paths.

Output (broll_plan.json)

{
  "picks": [
    {"t0": 4.31, "t1": 6.02, "topic": "hippopotamus", "anchor_word": "hippo",
     "query": "hippo swimming underwater", "clip_path": "/abs/work/<id>/broll/broll_03.mp4",
     "source": {"video_id": "abc123XYZ", "title": "...", "url": "https://youtu.be/abc123XYZ",
                "t0_src": 12.4, "t1_src": 14.1},
     "verified": true}
  ],
  "ingested_video_ids": ["abc123XYZ"],
  "vision_calls_used": 4,
  "vision_cap": 10,
  "chunks_mtime": 1746000000.0
}

No anchors / all queries miss → {"picks": [], "ingested_video_ids": []}, exit 0.

Idempotency

Caches on transcript+chunks+ingest mtimes via <out>.pickmeta.

Notes

Records every mcptube add-ed video_id in ingested_video_ids for broll-cleanup. Never the podcast source (filtered by ingest url id).
CPU: 3 frames per candidate, reuses _lib/encode.sh thread caps downstream.

Plus depuis ce dépôt

même dépôt

title-transition

jperrello/C0BALT_CUT

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).

2026-07-172

generate-title

jperrello/C0BALT_CUT

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).

2026-07-142

grade-clip

jperrello/C0BALT_CUT

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).

2026-07-142

pick-segments

jperrello/C0BALT_CUT

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.

2026-07-102

scout-sources

jperrello/C0BALT_CUT

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.

2026-07-102

verify-bookends

jperrello/C0BALT_CUT

Post-edit verification of a short's opening and closing 1.5s. Claude sees a 3-frame strip from each end plus the trimmed transcript text around each end and returns {action:keep}, {action:trim,t0,t1} (inward-only), or {action:drop,reason}. Checks three things — (1) cleanliness (partial words, breath cutoffs, off-shot frames); (2) opening-hook strength (snap t0 inward to a stronger hook line if the first 3s is pure setup); (3) payoff landing (snap t1 to ~80ms past the payoff word when the tail trails into filler). Runs after tighten-pace, before fit-vertical. Inward-only — bookend-trim's outward pass already had its chance. Drops the span only on cleanliness failures requiring >2s of trim — never on hook-weakness alone.

2026-07-102

name	broll-pick
description	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).
allowed-tools	Bash
user-invocable	true

broll-pick

Invoke

.claude/skills/broll-pick/broll-pick.sh <clip_transcript.json> <chunks.json> <ingest.json> <out_broll_plan.json>

clip_transcript: per-clip transcript with words[] (clip-local times)
chunks: chunk-captions output (chunks[] with t0/t1/text)
ingest: work/<id>/ingest.json (title + source url)
out: path for broll_plan.json; b-roll clips land in <ingest_dir>/broll/

Env

BROLL_VISION_CAP (default 10) — max Claude vision calls per clip.
BROLL_PICK=0 — disable; emits an empty plan.
MCPTUBE_BIN, MCPTUBE_YTDLP — override binary paths.

Output (broll_plan.json)

{
  "picks": [
    {"t0": 4.31, "t1": 6.02, "topic": "hippopotamus", "anchor_word": "hippo",
     "query": "hippo swimming underwater", "clip_path": "/abs/work/<id>/broll/broll_03.mp4",
     "source": {"video_id": "abc123XYZ", "title": "...", "url": "https://youtu.be/abc123XYZ",
                "t0_src": 12.4, "t1_src": 14.1},
     "verified": true}
  ],
  "ingested_video_ids": ["abc123XYZ"],
  "vision_calls_used": 4,
  "vision_cap": 10,
  "chunks_mtime": 1746000000.0
}

No anchors / all queries miss → {"picks": [], "ingested_video_ids": []}, exit 0.

Idempotency

Caches on transcript+chunks+ingest mtimes via <out>.pickmeta.

Notes

Records every mcptube add-ed video_id in ingested_video_ids for broll-cleanup. Never the podcast source (filtered by ingest url id).
CPU: 3 frames per candidate, reuses _lib/encode.sh thread caps downstream.