/opus-clip

name: opus-clip
description: >-
  The OpusClip craft skill — turn long video (podcasts, webinars, interviews, streams) into publishable
  short clips with AI candidate-finding, honest triage, and a human-reviewed pipeline. Use when someone
  wants to use OpusClip, turn a podcast/webinar/VOD into shorts, understand the Virality Score, pick a
  plan, pull a moment from a long recording (ClipAnything moment search), or automate a clipping
  pipeline. Uses the CLIPS framework. Reads captions-and-clipping + the source skill + brand-profile
  first. The agent plans the pipeline, credit math, and QA; the HUMAN reviews every clip and approves;
  WoopSocial publishes the finished exports (it does not clip or edit video). Integrity spine: the
  Virality Score is a PREDICTION for triage, never truth; 1 credit = 1 SOURCE minute; no unreviewed
  auto-post pipelines; no out-of-context clips. Distinct from captions-and-clipping (general craft),
  descript (long-form edit), capcut (short-form polish), and the platform publishing skills.
version: 1.0.0

opus-clip

The **clip-pipeline tool skill** — choose the source, let AI find candidates, inspect and rank honestly, polish the top few, ship on a drip. The agent plans and QA-checks; the **human reviews every clip**; **WoopSocial publishes**. (Ships with `tools/integrations/opus-clip.md`; pairs with the `captions-and-clipping` craft skill.)

The POV: a first-pass clip finder, not a one-click viral machine

OpusClip genuinely compresses 3–5 hours of manual clipping into minutes of processing plus review — its **ClipAnything** engine is multimodal (visuals + audio sentiment + facial expressions), so it finds moments even in wordless content, and natural-language moment search pulls one moment from a 2-hour VOD without scrubbing. But the top-1% operator holds two facts the marketing won't volunteer. **(1) The Virality Score is triage, not truth:** the only credible independent test found **~40% of generated clips get discarded** and the score **regularly mispredicts** real performance — low scorers blow up, high scorers flop. Use it to rank where your editing time goes; never as an auto-post threshold or a guarantee ("85% faster" is a self-published number with no method — the ~40% discard is the figure you can plan around). **(2) The human gate is non-negotiable:** every clip passes three questions — does it stand alone, does it **represent the speaker fairly** (the interview meaning-spine applies to clips), does it serve the audience — before anything ships. And the billing mechanic that catches everyone: **1 credit = 1 minute of SOURCE video, regardless of clips out** — trim before you upload.

Read these first

1. **captions-and-clipping** — the general clipping/repurposing craft this tool executes. 2. The **source skill** (podcast-and-audiograms / youtube-long-form) + **brand-profile/design-and-templates** (the clip template).

The framework: CLIPS

(Depth: `references/the-clips-framework.md`.)

• **C — Choose the source:** conversational long-form clips best (~8–12 candidates/hour); non-verbal genres work

via multimodal analysis with higher discard — test on Free first; clean audio, no burned-in subs, trim before upload (credits bill on source minutes).

• **L — Let AI find candidates:** genre + length + AI-hook configured; natural-language moment search; negative

prompting (exclude intros/sponsor reads).

• **I — Inspect and rank honestly:** score = triage; plan for ~40% discard; the human three-question pass —

stands alone / fair / serves; the score never overrides judgment.

• **P — Polish the top few:** edit only the top 3–5, approve clean mid-scorers, discard without guilt; fix the

hook's first line, caption errors, reframe drift, boundaries; one brand template across the batch; auto-music OFF → licensed/native audio at publish.

• **S — Ship on a drip:** batch-schedule spread across the week → WoopSocial; download exports promptly; study

real retention vs the scores monthly and recalibrate.

The reality (verify-quarterly)

2026 OpusClip: ~10M users / ~172M clips; ClipAnything (multimodal + moment search + negative prompts); speaker diarization layouts; ReframeAnything tracking; ~97% caption accuracy **vendor-claimed** across 20+ languages (QA anyway); AI B-roll; XML export to Premiere/Resolve (Pro). **The score:** 0–99 across Hook/Flow/Engagement/Trend — independently found to mispredict; ~40% discard (BIGVU test, attributed); no independent benchmarks. **Credits:** 1 = 1 source minute; +1 per direct X post; failures reported eating credits; projects reported vanishing after subscription ends — download promptly. **Tiers (≈, conflict — verify in-app):** Free = evaluation only (watermark, 3-day expiry, no score/editor); Starter ≈ $15/150 min; Pro ≈ $29 (~$14.50 annual)/300 min = the production tier; Business = custom, **API reported Business-only**; editor gating conflicts across sources. Reliability: reported processing hangs, no public status page/SLA — build slack. Trustpilot 4.0 with ~22% one-star (attribute). Full detail: `references/opus-clip-2026-reality.md`. The weekly loop, per-clip QA, credit-math worksheet, score recalibration, and two worked examples: `references/workflows-and-templates.md`.

Honest scope (never violate)

• **The agent** plans (pipeline, prompts, triage, QA, credit math, drip) and drafts fixes; the **human reviews

every clip** and approves (the agent can't see video; never fabricates "that clip works"). **Automation honesty:** API reported Business-only; Zapier/Make exist lower; **no unreviewed auto-post pipeline on any tier.** **WoopSocial publishes** approved exports (its scheduler-vs-OpusClip's is a stated choice); it does **not** clip/edit/score video; native audio/stickers are added in-app by the human.

• **The score spine:** a prediction — triage, never truth, never quoted as a metric. **The fairness spine:**

clips keep context and meaning; no manufactured endorsements or