The Synthesia craft skill — produce avatar video (training, onboarding, explainers, localized series, faceless educational content) with the consent-first architecture and honest fit boundaries.

MITAuto-check passedMedia & Creative

Install Synthesia

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

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

GitHub CLI
$ gh skill install social-media-skills/skills synthesia --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/synthesia .claude/skills/synthesia && 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
synthesia
GitHub stars
134
Token cost
~2.1k tokens
SKILL.md length
894 words
Files
6 (incl. references)
Skills in repo
106
Repo updated
First seen
Licence
MIT

At a glance

The Synthesia craft skill — produce avatar video (training, onboarding, explainers, localized series, faceless educational content) with the consent-first architecture and honest fit boundaries.

  • Works in 2 steps: The content skill… → brand-profile + voice-builder (the…
  • Someone wants to make videos with Synthesia/AI avatars
  • SKILL.md covers The POV: the presenter is…, Read these first, The framework: HUMAN and The reality (verify-quarterly), plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Synthesia is an agent skill from social-media-skills/skills. The Synthesia craft skill — produce avatar video (training, onboarding, explainers, localized series, faceless educational content) with the consent-first architecture and honest fit boundaries. Use when someone wants to make videos with Synthesia/AI avatars, create a personal avatar/digital twin, localize one video into many languages, build training/L&D video at scale, or asks whether an avatar should replace them on camera. Uses the HUMAN framework. Reads the content skill + brand-profile + voice-builder…

Its SKILL.md is about 2.1k 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/fit-and-templates.md` and `references/scope-and-connections.md`).

It sits in Media & Creative, covering Educational content, Internationalization and AI video generation. It works with HeyGen. 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 make videos with Synthesia/AI avatars
  • Create a personal avatar/digital twin
  • Localize one video into many languages
  • Build training/L&D video at scale

Example prompts

  • “/synthesia”

Workflow steps

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

  1. The content skill (educational-content-and-how-to / short-form-video-script) — the material.
  2. brand-profile + voice-builder (the script's voice) + design-and-templates (brand kit).

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

Synthesia loads about 2.1k tokens when it runs, and up to ~5.5k if it reads all its reference files. Until then it costs about 249 tokens; SKILL.md has 894 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
~2.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.5k

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). 894 words, ~2,113 tokens.

Download SKILL.mdSave it as .claude/skills/synthesia/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
synthesia
description
The Synthesia craft skill — produce avatar video (training, onboarding, explainers, localized series, faceless educational content) with the consent-first architecture and honest fit boundaries. Use when someone wants to make videos with Synthesia/AI avatars, create a personal avatar/digital twin, localize one video into many languages, build training/L&D video at scale, or asks whether an avatar should replace them on camera. Uses the HUMAN framework. Reads the content skill + brand-profile + voice-builder first. The agent scripts and plans (API where connected); the HUMAN approves every video; WoopSocial publishes. Spines: the fit test (avatars win at scale/localization/training, lose to a real face for trust-led content); consent-first likeness; the script is most of avatar quality — lock copy before generating. Never impersonate, fake endorsements, or skip AI-disclosure. Distinct from heygen, talking-head-and-piece-to-camera, ai-video/luma, ai-voiceover, and descript.
version
1.0.0

synthesia

The avatar-video tool skill — have a reason for an avatar, use consented likeness only, make the script spoken-word, assemble + localize, note the disclosure. The agent scripts and plans; the human approves every video; WoopSocial publishes. (Ships with tools/integrations/synthesia.md.)

The POV: the presenter is synthetic — the standards stay human

Synthesia is the enterprise avatar category leader: one locked script becomes a consistent presenter in 140+ languages with no re-shoots, which makes it unbeatable for training, onboarding, explainers, and localization at scale. The top-1% operator holds four lines. (1) The fit test comes first: avatars read polished-but-clinical — they lose to a real face for trust-led founder content and testimonials (route those to talking-head-and-piece-to-camera); the pro move is the hybrid — the founder films the trust layer, the avatar scales the informational layer. (2) Consent is the architecture, not friction: stock avatars are paid consenting actors; a personal avatar requires your live consent recording on an unspliced single-take source — and nobody gets an avatar of a competitor, celebrity, or anyone who hasn't verifiably consented. (3) The script is most of avatar quality — and it locks before render: spoken-word writing (short sentences, SSML, read aloud), because a comma-level edit forces a full ~8–12-minute re-generation off the minute cap. (4) Disclosure, always: a synthetic presenter is labeled — platform AI tags and the EU AI Act's synthetic-media obligations make undisclosed avatars a channel-level risk.

Read these first

  1. The content skill (educational-content-and-how-to / short-form-video-script) — the material.
  2. brand-profile + voice-builder (the script's voice) + design-and-templates (brand kit).

The framework: HUMAN

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

  • H — Have a reason for an avatar: training/explainers/localization/faceless = yes; founder-trust/ testimonials/emotional persuasion = no (real face); regulated medical topics = caution (moderation delays).
  • U — Use consented likeness only: live consent recording for personal avatars; consented stock actors; never impersonation or fake endorsements; governance on sharing (use ≠ edit; voice separate).
  • M — Make the script spoken-word: short sentences, contractions, SSML, closer framing; lock copy before generating (re-render trap); read it aloud first.
  • A — Assemble scenes + localize: brand kit + template once; AI Playground B-roll (use the Veo 3.1 lane — OpenAI ends the Sora API Sept 24 2026, so the Sora 2 lane is dying); 1-click translation/dubbing → native-speaker QA per language; one master, tracked variants.
  • N — Note the disclosure + publish: platform AI labels + EU AI Act + C2PA; human approves; export → capcut if needed → scheduling-and-queue → WoopSocial.

The reality (verify-quarterly)

Synthesia 3.0 (Oct 2025): Express-2 engine (full-body, gestures, micro-expressions, 1080p/30fps, no length cap), Video Agents (real-time conversational; Enterprise), AI Playground (embedded B-roll — launched with Sora 2 + Veo 3.1; the Sora API sunsets Sept 24 2026, so treat Veo as the durable lane), Interactivity 2.0, AI Dubbing, Copilot, doc/PPT→video, SSML, ~real-time rendering, 39+ subtitle languages. Consent architecture (from Synthesia's docs): consented stock actors; personal avatars via live consent recording on a single-take source; deepfakes/impersonation prohibited; SOC 2 Type II + GDPR + ISO 42001/27701 + C2PA membership; moderation over-flags regulated content (12–24h reviews reported). Tiers ≈ Free 10 min/mo · Starter $18–29 (~120 min/yr) · Creator $64–89 (~360 min/yr, API, voice cloning) · Enterprise custom (unlimited, SCORM, 1-click translation, Video Agents); minutes don't roll over; non-refundable annual; custom avatars ≈ $1,000/yr; comma-level edits force full re-renders (~8–12 min). Honest boundary: clinical for emotional content; HeyGen reads more TikTok-native. Attribute all; verify-quarterly. Full detail: references/synthesia-2026-reality.md; the fit table, script pattern, localization chain, plan-math worksheet, and worked examples: references/fit-and-templates.md.

Show full SKILL.md (351 more words)Show less

Honest scope (never violate)

  • The agent runs the fit test, writes locked spoken-word scripts, plans scenes/localization/QA, and drives the API where connected (exact human steps otherwise; no unreviewed auto-publish); the human approves every video (no fabricated "that looks natural"; native-speaker QA per language); WoopSocial publishes the exports — it does not generate avatars; LMS/SCORM distribution is the human's.
  • Consent spine: no avatar of anyone without verified consent; no celebrities/competitors; no fake endorsements. Disclosure always (platform labels; EU AI Act; C2PA). YMYL: avatar delivery doesn't lower the claim bar; regulated topics budget moderation-review time. Never fabricate tiers, gates, render times, or capabilities. (Full scope: references/scope-and-connections.md.)

Distinct from its siblings (route correctly)

synthesia (this) = the enterprise/L&D/localization avatar lane · heygen = the creator/social-native lane (test both; state trade-offs) · talking-head-and-piece-to-camera = the real human (trust content routes there; the hybrid is the pro move) · ai-video / luma / veo-3 / kling = cinematic footage, no presenter (the AI Playground embeds two of them for B-roll) · ai-voiceover / elevenlabs = voice-only · descript = editing recordings (this generates the presenter) · capcut = post-render captions/pace.

Where this connects

Reads first: the content skill + brand-profile + voice-builder + design-and-templates. Feeds: capcut, the platform publishing skills, email-and-newsletter (embedded explainers), lead-magnets-and-funnels (course video). Publishes via: export → scheduling-and-queue → WoopSocial (social); the LMS (training — human). Tool file: tools/integrations/synthesia.md. Measure with: native + analytics-and-reporting on completion/watch-through — never fabricated.

Definition of done

Avatar video that passed the fit test first (training/explainers/localization/faceless = avatar; trust-led founder content routed to a real face; the hybrid split applied where both exist), built on consented likeness only (stock actors or the owner's live-consent personal avatar; no impersonation or fake endorsements), scripted as locked spoken-word (short sentences, SSML, read aloud, signed off before a single render — no re-render burn), assembled on the brand kit with honest B-roll and localized through the chain (master → 1-click translation/dubbing → native-speaker QA per language → tracked variants), and published disclosed (platform AI labels; EU AI Act; C2PA) via WoopSocial after human approval, with plan math done honestly (minute caps, no rollover, Enterprise gates, $1,000/yr custom avatars, moderation-review buffer for regulated topics); no undisclosed synthetic presenters, no unconsented likeness, no fabricated tiers/capabilities; and correctly distinguished from heygen, talking-head-and-piece-to-camera, ai-video/luma, ai-voiceover, and descript.

© 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/synthesia of social-media-skills/skills.

  • SKILL.md
  • evals/evals.json
  • references/fit-and-templates.md
  • references/scope-and-connections.md
  • references/synthesia-2026-reality.md
  • references/the-human-framework.md

Open the folder on GitHubat commit 6e30eeb

Compare with similar skills

Synthesia 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.

Synthesia compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Synthesia this skillsocial-media-skills/skills134—~2.1kAutomated safety check: PassMIT
Stage EditOrkas-AI/Orkas-VideoStudio499—~2.4kAutomated safety check: PassMIT
Heygenzapier/connectors177—~4.4kAutomated safety check: PassElastic-2.0
Scenario Videoscenario-labs/skills946—~4.3kAutomated safety check: PassMIT
Super Video MakerBomx/super-video-maker-skill310—~11kAutomated safety check: NotesNone
Develop Timeline Studio PluginMartinDelophy/ai-video-editor905—~989Automated safety check: PassMIT

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Works with

Questions about Synthesia

What does Synthesia do?

The Synthesia craft skill — produce avatar video (training, onboarding, explainers, localized series, faceless educational content) with the consent-first architecture and honest fit boundaries. Synthesia is an agent skill from social-media-skills/skills. The Synthesia craft skill — produce avatar video (training, onboarding, explainers, localized series, faceless educational content) with the consent-first architecture and honest fit boundaries.

When should I use Synthesia?

Synthesia fits situations like: someone wants to make videos with Synthesia/AI avatars; create a personal avatar/digital twin; localize one video into many languages; build training/L&D video at scale.

How do I install Synthesia in Claude Code?

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

How do I install Synthesia in Codex?

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

Can I use Synthesia 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 synthesia -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/synthesia, .gemini/skills/synthesia, .github/skills/synthesia and .opencode/skills/synthesia in your project.

What does Synthesia need to run?

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

Does Synthesia 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 Synthesia 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 Synthesia use?

Synthesia 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 Synthesia use?

About 2.1k tokens (SKILL.md is roughly 8.5k 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 Synthesia?

Skills that share tags, products or a category with Synthesia: Stage Edit (Orkas-AI/Orkas-VideoStudio, 499 stars), Heygen (zapier/connectors, 177 stars), Scenario Video (scenario-labs/skills, 946 stars) and Super Video Maker (Bomx/super-video-maker-skill, 310 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Synthesia?

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.