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higgsfield-faceless-video

Create a finished faceless explainer, documentary, illustrated story or children's music video, or edit a previously created faceless video

Install / Use

npx skills add higgsfield-ai/skills --skill higgsfield-faceless-video

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

85/100

Supported Platforms

Universal

Tags

Our assessment of higgsfield-faceless-video

higgsfield-faceless-video scores 85/100 on our quality scale, 830th of 1,173 Content & Media skills we index.

Its SKILL.md is 3.5 KB long, lightly structured (2 headings) and no code examples: a solid amount of guidance for an agent.

With 1,120 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
26/30
Structure
5/20
Description
15/15
Adoption
13/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated about 2 months ago, so higgsfield-faceless-video is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

higgsfield-faceless-video compared with similar skills

All 4 of these similar skills score higher than higgsfield-faceless-video; compare them before choosing.

SkillScoreStarsUpdatedFormat
higgsfield-faceless-video (this skill)by higgsfield-ai851.1k55d agoSKILL.md
siyuanby siyuan-note10047.1ktodayMCP Server
algorithmic-artby anthropics100177.9k47d agoSKILL.md
pptxby anthropics100177.9k47d agoSKILL.md
designby nextlevelbuilder100143.4k8d agoSKILL.md

Frequently asked questions

How do I install higgsfield-faceless-video?
Run npx skills add higgsfield-ai/skills --skill higgsfield-faceless-video. The install tabs above show the steps for each supported agent.
Which AI agents does higgsfield-faceless-video work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is higgsfield-faceless-video safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is higgsfield-faceless-video still maintained?
The repository was last updated about 2 months ago, so higgsfield-faceless-video is actively maintained.

version: 0.14.0 name: higgsfield-faceless-video description: | Create a finished faceless explainer, documentary, illustrated story or children's music video, or edit a previously created faceless video. Use when: "make a faceless video", "create a narrated explainer", "make a children's song video", "edit this faceless video". NOT for: a single silent clip, ads or UGC, unrelated footage edits, or script-only requests. argument-hint: "[topic or source] [duration] [language] [aspect ratio]" allowed-tools: Bash

Faceless video

Create one finished video with a consistent visual style and narration. For an illustrated explainer use deliberate, diagram-led scenes; for a story or documentary adapt the pacing and visuals to the brief. Do not treat an explainer as a request for rapid cuts. Preserve choices and assets supplied by the user.

Choose the requested mode before generating: illustrated explainers use references/production.md; fast-cut channel motion uses references/channel-motion.md; stills and picture stories use references/picture-story.md; a sung children's music video uses references/song.md; explicitly requested talking characters use references/talking-characters.md; a requested presenter overlay uses references/presenter.md alongside the motion workflow; edits to a previously generated video use references/editing.md. A request for background music alone is not a song request. Never infer a presenter from an incidental photo.

When the brief supplies animation_mode, treat fully_animated as motion and scene_based as stills without asking again. Resolve song intent from the complete brief, including topic and script; an explicitly sung children's video uses song mode even when a voice is supplied. Preserve the production mode when continuing or editing an existing video.

Before spending credits

Resolve missing topic, approximate duration, aspect ratio, language, visual style, voice, music and subtitle choices. Never invent a preset or voice ID. Use higgsfield preset list video-explainer --json and higgsfield voices list --json for current choices, and resolve a selected preset with higgsfield preset resolve video-explainer <id> --json. Confirm photo roles before using reference images. Honor the requested duration; never silently round it up.

Find this skill's installed directory and retain its absolute path as SKILL_DIR. Keep all work in a persistent session directory, not the skill directory. Before generation verify higgsfield account status, ffmpeg, ffprobe, python3, curl, and awk, and inspect the live schemas using higgsfield model get for each planned model. Estimate generation costs with higgsfield generate cost where supported; if an estimate is unavailable, disclose that before generation. If any required stage, model, dependency, or requested feature is unavailable, explain and stop before paid work. Do not call explainer_video or video_explainer.

Read references/production.md for the generation, assembly, QC, recovery and delivery procedure. For subtitles, read references/captions.md and check its dependencies before paid generation. Read references/creative.md for style, assets, long-form planning and review, references/styles.md for style guidance, and references/prompts.md when writing the scene plan. The executable helper scripts/assemble_blocks.sh assembles ordered video/audio pairs without changing speech speed; read its usage before running it. The previous skill name is supported for existing installations.

Related Skills

View on GitHub
GitHub Stars1.1k
CategoryContent
Updated1mo ago
Forks216

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions
higgsfield-faceless-video — Universal Skill: Install & Safety Check | SkillAgent