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opus-clip

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更新时间2026年7月18日 10:36

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.

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social-media-skills

social-media-skills/skills

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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

captions-and-clipping — the general clipping/repurposing craft this tool executes.
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 gotchas (deception/defamation); consent/ likeness rules apply. Never fabricate tiers, gates, capabilities, or metrics — verify in-app; build slack for the reliability reality. (Full scope: references/scope-and-connections.md.)

Distinct from its siblings (route correctly)

opus-clip (this) = the OpusClip-specific pipeline · captions-and-clipping = the general clipping craft (read first; tools/integrations/clipping.md covers the multi-tool layer — tools/integrations/opus-clip.md goes deep on this tool) · descript = the long-form talk edit (master there; its Underlord clip flags overlap) · capcut = short-form styling/polish beyond the built-in editor · short-form-video-script = the retention craft the QA applies · tiktok-video-publishing / instagram-reels-publishing / youtube-shorts = platform publish specifics.

Where this connects

Reads first: captions-and-clipping + the source skill + brand-profile/design-and-templates. Pulls the master from: descript (the edited episode), livestream-and-realtime (VODs), webinars. Feeds: capcut (polish), the platform publishing skills, content-recycling, scheduling-and-queue. Publishes via: approved exports → scheduling-and-queue → WoopSocial. Tool file: tools/integrations/opus-clip.md. Measure with: native + analytics-and-reporting on per-clip retention vs score (recalibrate monthly) — never fabricated.

Definition of done

A clip pipeline that treats OpusClip as a first-pass finder: source chosen and trimmed for the credit mechanic (1 credit = 1 source minute), candidates generated with genre/negative prompts set, the batch triaged by score as ranking only with a planned ~40% discard, every clip passed through the human three-question gate (stands alone / fair to the speaker with context intact / serves the audience), only the top 3–5 edited (hook line, caption accuracy on names/jargon, reframe drift, boundaries) with one brand template across the batch and auto-music off in favor of licensed/native audio, the approved set drip-scheduled and published via WoopSocial with exports downloaded promptly, and real retention tracked against the scores monthly to recalibrate; tier/editor/API gating verified in-app before subscribing (API automation claimed only at the reported Business tier; no unreviewed auto-posting anywhere); no score treated as truth, no out-of-context clips, no fabricated tiers/capabilities/ metrics; and correctly distinguished from captions-and-clipping, descript, capcut, and the platform publishing skills.

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social-media-skills/skills

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2026-07-183

ai-music-and-sound

social-media-skills/skills

The AI music + sound-design skill for social -- original/licensed audio beds and sound design for Reels/TikToks/Shorts/videos. Use when someone needs background music, a track, or sound effects for a social video, asks which AI music tool is safe to use, or asks "can I use this trending sound/song on my brand video?". The real brief is "audio that won't get muted, claimed, or sued," so it picks the safest licensed source and never uses copyrighted or trending music without a license. Uses the SCORE framework. Reads brand-profile + the video it scores first. The agent briefs the music + sound design, picks the safest licensed source (ElevenLabs Music/SFX or stock libraries over Suno/Udio; paid tier for commercial rights), and advises licensing/Content-ID/disclosure. The tool generates/licenses the audio; the creator bakes it in; WoopSocial publishes the video and does NOT generate music. Pure AI music may not be copyrightable; never "100% legally safe." Pairs with ai-voiceover.

2026-07-183

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Use to get a brand and its content CITED and RECOMMENDED by AI answer engines — the GEO (Generative Engine Optimization) / AI-search-visibility skill. Run when the user says "GEO," "get cited by ChatGPT/Perplexity/Google AI," "ChatGPT SEO," "LLM SEO / LLMO," "AI Overviews," "answer engine optimization (AEO)," "will AI recommend my brand," or wants to show up in AI-generated answers, not just the feed or Google links. Reads brand-profile and audience first. AI engines retrieve + fan-out and cite community/social sources heavily (Reddit, YouTube, Wikipedia); platforms disagree; earned media beats product pages; extractable, fresh content drives citation. Covers the four GEO levers (retrievable, earned mentions, extractable content, entity clarity), authentic social plays, and the manual prompt-audit method. Refuses astroturfing; never fabricates "share of voice." Sibling of social-seo (platform + Google search). Judges via the audit + GEO tools + AI referral traffic.

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social-media-skills/skills

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2026-07-183

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social-media-skills/skills

Plan and orchestrate a product launch or social media campaign end to end — the multi-week arc, channel by channel. Use when someone wants to plan a launch, product drop, campaign, big announcement, waitlist/pre-launch push, or coordinated multi-platform moment. Plans a time-boxed campaign as ONE story across three phases (tease -> launch -> sustain) toward a single goal, and schedules the coordinated social posts via WoopSocial. Uses the STORY framework. Reads brand-profile + goals-and-kpis first. WoopSocial schedules + publishes the social posts on the timeline; the waitlist/hub, email sequence, checkout, paid ads, press/creator outreach, and livestream are external/native, and conversion/ROI come from native analytics + the store (never fabricated). Urgency must be credible (no fake countdowns/scarcity). Distinct from content-calendar (the ongoing always-on cadence) and goals-and-kpis (the targets a campaign serves).

2026-07-183

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

Read these first

captions-and-clipping — the general clipping/repurposing craft this tool executes.
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)

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 gotchas (deception/defamation); consent/ likeness rules apply. Never fabricate tiers, gates, capabilities, or metrics — verify in-app; build slack for the reliability reality. (Full scope: references/scope-and-connections.md.)