Descript logo

Descript

Organization
social-media-skills
descript

The Descript craft skill — edit talk content (podcasts, interviews, talking-head video) by editing the transcript instead of the timeline. Use when someone wants to edit in Descript, edit a podcast or interview, remove filler words/silences, clean up audio (Studio Sound), fix a flubbed word without re-recording (Overdub), auto-cut between speakers, turn one recording into clips + show notes + chapters, or asks about Descript's plans, credits, or Underlord. Uses the WORDS framework plus the interview rule: concision yes, meaning-flips never. Reads the recording's content skill + brand-profile/voice-builder first. The agent plans the edit (API/MCP where connected); the HUMAN verifies by ear and approves; WoopSocial publishes the exports. Overdub is consent-verified own-voice-only; tiers/credits are verified in-app. Distinct from capcut (visual short-form), captions-and-clipping/opus-clip (clip selection at scale), ai-voiceover (dedicated TTS), and podcast-and-audiograms (the strategy).

Overview

Publishersocial-media-skills
Repositoryskills
Skill namedescript
Stars
215
Forks
44
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by social-media-skills on GitHub. Read the source before you install it.

Installation

Install the Descript AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/social-media-skills/skills/tree/main/skills/descript
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/social-media-skills/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/descript .claude/skills/descript
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Descript in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Descript on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Descript is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

descript

The talk-content editing tool skill — write the edit in the transcript, Overdub with consent, refine the sound, dress the visuals, and ship the cuts. The agent plans (and can drive Underlord via API/MCP where connected); the human verifies by ear and approves; WoopSocial publishes the exports. (Ships with tools/integrations/descript.md.)

The POV: the transcript is the timeline — decide in text, verify by ear

For dialogue-heavy content, editing the transcript beats scrubbing a timeline: delete the sentence, the clip disappears; move the paragraph, the footage follows — reviews report ~60–70% editing-time cuts for talk content. But the paradigm has two sharp edges the top 1% respect. (1) The voice spine: Overdub's consent-verified, own-voice-only design is the model, not an obstacle — it exists so nobody types words into someone else's mouth; and the craft truth is it shines on flubbed words, not paragraphs (long Overdub drifts synthetic — re-record those). (2) The meaning spine: text-editing makes it dangerously easy to rearrange a guest into saying something they didn't — concision yes, meaning-flips never, and the human owns the final cut of anyone else's words. Operationally: the accuracy pass is mandatory (transcript errors become wrong edits AND wrong captions), and since the Sept 2025 overhaul, the workflow must be credit-aware — media minutes count everything you import, and formerly-unlimited AI features are metered.

Read these first

  1. The recording's content skill — podcast-and-audiograms / youtube-long-form / educational-content.
  2. brand-profile + voice-builder (written outputs) + design-and-templates (captions/layout).

The framework: WORDS

(Depth: references/the-words-framework.md.)

  • W — Write the edit: accuracy pass first; then cut tangents/bad takes, one-step filler+silence removal (Underlord), restructure by moving paragraphs — decide in text, verify by ear.
  • O — Overdub with consent: own-voice-only, consent-verified; single words/short phrases (paragraphs = re-record); vocabulary/credit limits; disclose synthetic speech where required.
  • R — Refine the sound: Studio Sound once per source (credits; cleaner audio also improves the transcript); level speakers; extreme noise is a re-record, not a rescue.
  • D — Dress the visuals: Automatic Multicam (record separate tracks on purpose), captions from the corrected transcript, human-approved B-roll, Eye Contact used honestly; beat-sync/color route elsewhere.
  • S — Ship the cuts: one transcript → the episode + clips (Underlord flags, the human picks fairly) + show notes + chapters + a text post; route onward and publish via WoopSocial.

The reality (verify-quarterly)

2026 Descript: Underlord (agentic co-editor — filler/silence in one step, bad-take flags, B-roll suggestions, clips, show notes) now triggerable via the 2026 public API (open beta) incl. MCP connections; Overdub (~24–48h training; source-audio requirements have varied — verify); Studio Sound (~10 credits/use); Automatic Multicam; Eye Contact; ~92–95% transcription accuracy on clean audio, ~75–85% with noise/accents/jargon; ~23 languages; SOC 2 Type II; cloud-dependent (no offline). Pricing: the Sept 2025 overhaul moved to media minutes + AI-credit metering of formerly-unlimited features; documented bill-shock and no mid-cycle proration (G2, attributed); tier figures conflict across sources — verify in-app. Full detail: references/descript-2026-reality.md. The weekly loop, credit-aware checklist, the Overdub decision table, the interview-integrity checklist, and two worked examples: references/workflows-and-templates.md.

Honest scope (never violate)

  • The agent plans the edit and can trigger Underlord/media actions via the API/MCP where connected (exact human steps otherwise — no pretended automation); the human verifies by ear (pacing/tone/fairness don't live in text) and approves — the agent never fabricates "that cut sounds great." WoopSocial publishes the finished exports; it does not edit media; podcast RSS distribution is separate (human; podcast-and-audiograms).
  • Voice spine: own-voice-only cloning; never a guest/competitor/public figure; never fabricated words in a real mouth; AI-disclosure for synthetic speech where required (EU AI Act; C2PA). Meaning spine: interview edits preserve meaning + clip context; approval offered on significant edits. Never fabricate tiers, credits, or metrics — verify in-app. (Full scope: references/scope-and-connections.md.)

Distinct from its siblings (route correctly)

descript (this) = text-based talk-content editing · capcut = beat-synced visual short-form (the hybrid: master here, style cuts there) · captions-and-clipping / opus-clip = clip selection at scale (this feeds them the master) · podcast-and-audiograms = the strategy this tool serves · ai-voiceover (elevenlabs) = dedicated TTS/narration (Overdub = own-voice corrections) · talking-head-and-piece-to-camera = the performance (Eye Contact patches a read, doesn't replace delivery) · youtube-long-form = the structure the recording follows.

Where this connects

Reads first: podcast-and-audiograms / youtube-long-form + brand-profile/voice-builder + design-and-templates. Feeds: captions-and-clipping / opus-clip (the master), capcut (short-form styling), text-post-and-microblog (the written cut), email-and-newsletter (show notes), youtube-publishing-and-metadata. Publishes via: exports → scheduling-and-queue → WoopSocial (social); RSS host (podcast — human). Tool file: tools/integrations/descript.md. Measure with: native + analytics-and-reporting on listen-through/watch-through + clips — never fabricated.

Definition of done

A talk-content edit made at the speed of text and verified by ear: transcript corrected first (names/jargon — errors become wrong edits and captions), tangents/bad takes cut and filler+silences removed in batched Underlord passes, restructure done in text and the result listened through; flubs fixed with consent-verified own-voice Overdub at word/phrase length only (paragraphs re-recorded; synthetic speech disclosed where required); Studio Sound run once per source; multicam/captions/layout dressed on-brand; the interview rule held (meaning + clip context preserved, approval offered, the human owning the final cut of anyone else's words); one corrected transcript shipped as the episode + human-picked clips + show notes + chapters, routed onward and published via WoopSocial; the workflow credit-aware under the post-Sept-2025 model (import only what you'll edit; verify tiers in-app); API/MCP automation only where actually connected; no cloned third-party voices, no meaning-flips, no fabricated tiers/credits/metrics; and correctly distinguished from capcut, captions-and-clipping/opus-clip, ai-voiceover, and podcast-and-audiograms.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Descript AI skill do?

The Descript craft skill — edit talk content (podcasts, interviews, talking-head video) by editing the transcript instead of the timeline. Use when someone wants to edit in Descript, edit a podcast or interview, remove filler words/silences, clean up audio (Studio Sound), fix a flubbed word without re-recording (Overdub), auto-cut between speakers, turn one recording into clips + show notes + chapters, or asks about Descript's plans, credits, or Underlord. Uses the WORDS framework plus the interview rule: concision yes, meaning-flips never. Reads the recording's content skill + brand-profil...

Why use Descript on TypingMind?

Because you install it once and use it with any model. Descript is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Descript in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/social-media-skills/skills/tree/main/skills/descript. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Descript?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Descript?

As many as you like. As long as a model supports skills, you can use Descript with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Descript AI skill free?

Yes. It is published on GitHub by social-media-skills under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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