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.

MITAuto-check passedMedia & Creative

Install Opus Clip

skills CLI
$ npx skills add social-media-skills/skills --skill opus-clip -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install social-media-skills/skills opus-clip --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/social-media-skills/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/opus-clip .claude/skills/opus-clip && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
opus-clip
GitHub stars
134
Token cost
~2.2k tokens
SKILL.md length
938 words
Files
6 (incl. references)
Skills in repo
106
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 2 steps: captions-and-clipping — the general… → The source skill (podcast-and-audiograms…
  • Someone wants to use OpusClip
  • SKILL.md covers The POV: a first-pass clip…, Read these first, The framework: CLIPS and The reality (verify-quarterly), plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Opus Clip is an agent skill from social-media-skills/skills. 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…

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `evals/evals.json`, `references/opus-clip-2026-reality.md` and `references/scope-and-connections.md`).

It sits in Media & Creative, covering Podcasting, Social publishing and cross-posting and Video production. The repository describes itself as: 106 social media skills for AI agents - strategy, writing, video, design, platform growth, publishing, and analytics. Works with Claude, Cursor, OpenClaw, Hermes & 40+ agents. The licence is MIT.

When your agent uses it

  • Someone wants to use OpusClip
  • Turn a podcast/webinar/VOD into shorts
  • Understand the Virality Score
  • Pull a moment from a long recording (ClipAnything moment search)

Example prompts

  • “/opus-clip”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit 6e30eeb. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Opus Clip loads about 2.2k tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 249 tokens; SKILL.md has 938 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~249
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from social-media-skills/skills at commit 6e30eeb, republished under its MIT licence (© social-media-skills). 938 words, ~2,151 tokens.

Download SKILL.mdSave it as .claude/skills/opus-clip/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
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.

Show full SKILL.md (393 more words)Show less

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.

© social-media-skills, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (references) in skills/opus-clip of social-media-skills/skills.

  • SKILL.md
  • evals/evals.json
  • references/opus-clip-2026-reality.md
  • references/scope-and-connections.md
  • references/the-clips-framework.md
  • references/workflows-and-templates.md

Open the folder on GitHubat commit 6e30eeb

Compare with similar skills

Opus Clip next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Opus Clip compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Opus Clip this skillsocial-media-skills/skills134—~2.2kAutomated safety check: PassMIT
ListenhubLeoYeAI/openclaw-master-skills2.2k—~5.3kAutomated safety check: PassMIT
Video Podcast Makerdtsola/xiaoyaosearch1k—~3.4kAutomated safety check: PassMIT
Video Podcast Maker NanoAgents365-ai/video-podcast-maker1.7k—~3.6kAutomated safety check: PassMIT
Video Clippergooseworks-ai/goose-skills1.2k1 repos~3.1kAutomated safety check: NotesMIT
Shortform Editingericrisco/rsc-harness180—~2.9kAutomated safety check: PassMIT

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Questions about Opus Clip

What does Opus Clip do?

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. Opus Clip is an agent skill from social-media-skills/skills. 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.

When should I use Opus Clip?

Opus Clip fits situations like: someone wants to use OpusClip; turn a podcast/webinar/VOD into shorts; understand the Virality Score; pull a moment from a long recording (ClipAnything moment search).

How do I install Opus Clip in Claude Code?

Run `npx skills add social-media-skills/skills --skill opus-clip -a claude-code`. Or copy the skill folder (skills/opus-clip in social-media-skills/skills) into .claude/skills/opus-clip in your project. Claude Code loads it when a task matches its description.

How do I install Opus Clip in Codex?

Run `npx skills add social-media-skills/skills --skill opus-clip -a codex`. Or copy the skill folder (skills/opus-clip in social-media-skills/skills) into .agents/skills/opus-clip in your project. Codex loads it when a task matches its description.

Can I use Opus Clip in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add social-media-skills/skills --skill opus-clip -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/opus-clip, .gemini/skills/opus-clip, .github/skills/opus-clip and .opencode/skills/opus-clip in your project.

What does Opus Clip need to run?

SKILL.md names no scripts, command-line tools or credentials: Opus Clip is instructions for the agent only.

Does Opus Clip access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Opus Clip safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Opus Clip use?

Opus Clip is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Opus Clip use?

About 2.2k tokens (SKILL.md is roughly 8.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.3k tokens, read only when the agent opens those files.

What are the alternatives to Opus Clip?

Skills that share tags, products or a category with Opus Clip: Listenhub (LeoYeAI/openclaw-master-skills, 2.2k stars), Video Podcast Maker (dtsola/xiaoyaosearch, 1k stars), Video Podcast Maker Nano (Agents365-ai/video-podcast-maker, 1.7k stars) and Video Clipper (gooseworks-ai/goose-skills, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Opus Clip?

social-media-skills (a GitHub organization) maintains it in social-media-skills/skills, which has 134 GitHub stars. The repository holds 106 skills in this directory. The repository was last updated on October 1, 2026.

Source: social-media-skills/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.