Higgsfield Faceless Video — Agent Skill by Higgsfield AI

From the author

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.

— the description by Higgsfield AI

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The higgsfield-faceless-video skill provides a structured process for creating finished faceless video content. It supports various formats such as illustrated explainers, documentaries, illustrated stories, and children's music videos. The skill manages the end-to-end production workflow, including script validation, voice selection, asset management, and final assembly of video and audio blocks. It also provides capabilities for editing previously generated videos and adding subtitles.

What it does

Generates finished faceless videos based on user-provided topics and scripts.
Supports multiple production modes including illustrated explainers, channel-style motion, and children's songs.
Validates scripts against duration requirements and timing gates before generation.
Manages voice selection and dialogue generation using specified presets.
Assembles video and audio blocks into a final output file.
Adds subtitles to videos using local transcription models.

When to use it

When you need to create a narrated explainer or documentary video.
When you want to produce a children's song video with consistent visuals.
When you need to edit or update a previously generated faceless video.
When you require a video with a specific visual style and structured narration.

Advantages

Ensures consistent visual identity across video blocks.
Provides tools to verify script timing and narration duration before incurring costs.
Supports specific production modes for different content types like diagrams or stories.
Enables precise assembly of video and audio pairs without altering speech speed.

Usage examples

“make a faceless video about the history of the steam engine”: The agent will initiate the production workflow to create a documentary-style video, including script validation and asset generation.
“make a children's song video about counting apples”: The agent will use the song production mode to generate a synchronized music video based on the provided topic.
“edit this faceless video to change the narration in the second block”: The agent will use the editing workflow to update the specified block while preserving the rest of the video's production state.
“create a narrated explainer about photosynthesis”: The agent will generate an illustrated explainer video using diagram-led scenes and narration.

Install

Download the skill as a ZIP:
https://autogineer.com/agent-skills/higgsfield-ai/higgsfield-faceless-video/download

Unzip it into the cross-client skills folder of your project:

mkdir -p .agents/skills && unzip higgsfield-faceless-video.zip -d .agents/skills

Documentation by Higgsfield AI

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.

Files

ATTRIBUTION.mdAdded by AutoGineer890 B
LICENSELicence file added by AutoGineer1.0 KiB
SKILL.md3.5 KiB
references/captions.md1.3 KiB
references/channel-motion.md3.8 KiB
references/creative.md2.6 KiB
references/editing.md1.3 KiB
references/picture-story.md3.3 KiB
references/presenter.md2.1 KiB
references/production.md4.0 KiB
references/prompts.md903 B
references/song.md2.7 KiB
references/styles.md1.9 KiB
references/talking-characters.md1.7 KiB
scripts/assemble_blocks.shScript15.1 KiB
scripts/assemble_final.shScript24.6 KiB
scripts/assemble_partial_edit.shScript10.7 KiB
scripts/assemble_slides.shScript26.1 KiB
scripts/audio_to_captions.pyScript26.2 KiB
scripts/bind_scene_frame_results.pyScript6.3 KiB
scripts/build_scene_timeline.pyScript9.3 KiB
scripts/burn_captions.shScript3.8 KiB
scripts/check_voice.shScript1.0 KiB
scripts/measure_narration_takes.pyScript5.4 KiB
scripts/presenter_composite.shScript8.4 KiB
scripts/speech_metrics.shScript3.1 KiB
scripts/tests/test_assembly.pyScript2.5 KiB
scripts/tests/test_captions.pyScript953 B
scripts/tests/test_channel.pyScript3.0 KiB
scripts/tests/test_modes.pyScript7.8 KiB
scripts/tests/test_song.pyScript1.1 KiB
scripts/tests/test_timeline.pyScript2.5 KiB
scripts/trim_static_head.shScript2.2 KiB
scripts/validate_motion_script.pyScript33.5 KiB
scripts/validate_song_prompt.pyScript8.6 KiB

references/creative.md

Plan a faceless production

Choose a visual identity, narrative type and rendering mode from the user's request. A single illustrated explanation and a recurring channel episode use the same explainer approach; do not force fast montage on diagrams. For history/documentary, research the subject and use a clear chronological or causal arc. For storytelling, keep character identity and story continuity. For children, use age-appropriate language and visible character reactions. A sung children's video is a separate mode in references/song.md.

Build a style description that remains stable across generated assets. If the user selects a catalog preset, resolve the live preset instead of embedding an ID; if the user supplies an image, confirm whether it is a style reference, a character to preserve, or a presenter photo. A style reference does not authorize copying its people, logos or composition. Preserve a requested mascot's distinctive visual features. Do not animate an unmodified real photo as an illustrated background.

Create a roster for recurring characters, locations and important props. Generate each necessary reference with the style key and keep its actual job ID. Use the relevant reference images when generating scenes. For longer historical stories, plan chapters and era-specific character appearances; keep recognizable identity while changing age and costume. Warn about the time and cost of long runs before creating assets. Save the plan and completed job ledger so a later interruption does not require regenerating accepted assets.

For narrated motion, plan one idea and matching visuals per block. The illustrated explainer profile uses deliberate visual pacing and may use an exact shorter last block. For channel-oriented documentary or story videos, vary shot sizes and angles, locations, action and composition; keep adjacent shots distinct and make the visible scene illustrate what the narrator says. Do not use an over-the-shoulder shot unless the shoulder is actually in frame. Keep background dialogue out of separately narrated scenes.

Use the selected visual references consistently; check the first completed scene before generating the rest. Record named defects such as wrong aspect, identity drift or frozen motion. Retry failed or defective assets only; respect moderation refusals. Review the complete assembled video and audio, confirm requested subtitles and duration, and provide factual sources when applicable. A thumbnail can be offered or made when explicitly requested using higgsfield-youtube-thumbnail; do not fabricate an output if that skill or its tools are unavailable.

Requirements and compatibility

Written for: Claude Code

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Declares allowed tools, Claude Code frontmatter, Needs Python

Security

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Video
Corey Haines· Community
A framework for producing video content using AI generation, programmatic templates, and avatar-based narration.
Design and creativeClaude CodeClaude appsOpenAI Codex+14 more
MITGitHub stars of the source repository59k
Subtitles
OpenAIOfficial
Burn timed subtitles onto a finished video or configure Whisper-timed caption burning during faceless-video assembly. Takes video/audio generation jobs or a local finished video, optionally with authored narration text, and returns a captioned video or the exact backend subtitle configuration. Timings always come from Whisper on the video's own audio — never estimated. THREE looks: `paper` (torn cream paper label, handwritten ink), `bold` (UGC ALL-CAPS, white with black stroke, platform safe zones), `clean` (slim white CAPS, no plate, tiny at the bottom — no Pillow needed). Use when: adding/burning subtitles or captions to an existing video, restyling captions, or when a production workflow needs its finished cut subtitled. NOT for: generating the video, translating speech, or live/soft subtitle tracks (this burns them into the picture).
Design and creativeClaude CodeClaude appsOpenAI Codex+14 more
Link-onlyLow riskHas scriptsGitHub stars of the source repository7.8k
Narrator
OpenAIOfficial
Activate when the user explicitly names the narrator skill or requests production-ready narration in either case: (1) numbered takes fitted to fixed video windows, or (2) one continuous long-form story read in a locked voice that must be measured and retried for timbre or internal pauses. Collect missing text, voice_id, or voice_type after activation; their absence is not a reason to skip this workflow. Own pacing, speech-duration gates, retries, and ready audio delivery; never time-stretch. Do not use for ordinary TTS, "read this aloud", an unconstrained voiceover, voice browsing, music, SFX, singing, dubbing existing speech, or voice cloning.
Design and creativeClaude CodeClaude appsOpenAI Codex+14 more
Link-onlyLow riskHas scriptsGitHub stars of the source repository7.8k
Gsap
OpenAIOfficial
GSAP animation reference for HyperFrames. Covers gsap.to(), from(), fromTo(), easing, stagger, defaults, timelines (gsap.timeline(), position parameter, labels, nesting, playback), and performance (transforms, will-change, quickTo). Use when writing GSAP animations in HyperFrames compositions.
Design and creativeClaude CodeClaude appsOpenAI Codex+14 more
Link-onlyLow riskHas scriptsGitHub stars of the source repository7.8k
Remotion Captions
OpenAIOfficial
Transcribing, displaying and animating captions
Design and creativeClaude CodeClaude appsOpenAI Codex+14 more
Link-onlyGitHub stars of the source repository7.8k
Faceless Channel
OpenAIOfficial
Use only when the user asks to produce a finished multi-scene narrator-led video and explicitly requests a faceless channel, YouTube automation, narrated explainer/story/education, documentary, storybook or myth retelling, or kids song video. Topic alone is never enough: a generic video of/about something, including a historical topic, uses ordinary video generation. Do not use for planning or ideas, single clips, silent animation, image-to-video, footage edits, ads, product demos, or UGC. This workflow requires a consistent non-photoreal style, reusable assets, narrator voiceover, and burned subtitles.
Design and creativeClaude CodeClaude appsOpenAI Codex+14 more
Link-onlyLow riskGitHub stars of the source repository7.8k