# Create Faceless Videos With Higgsfield

Producing narrated videos requires coordinated scripts, visuals, audio, and timing. This skill guides Higgsfield generation and local assembly with checks before delivery.

## Install

```bash
npx skillstore add higgsfield-ai/higgsfield-faceless-video
```

## Metadata

- Status: approved
- Slug: higgsfield-ai-higgsfield-faceless-video
- Version: 0.14.0
- Author version: 0.14.0
- Skillstore revision: r1
- Version status: valid
- Tree hash: af6821808f9ec19200bb1cd0892bce0a6bde5548dc92dee04bdcf3a4144fd9fb
- Author: higgsfield-ai
- GitHub username: higgsfield-ai
- License: MIT
- Repository: https://github.com/higgsfield-ai/skills/tree/4d0757471a704dac8729ea3c2ef0f3f330e0d9b6/higgsfield-faceless-video
- Ref: 311f8dc74431dfa24f919a5d1091d3d9619a0ddd
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, network, filesystem
- Quality score: 85
- Quality tier: gold
- Public page: https://skillstore.pages.dev/skills/higgsfield-ai-higgsfield-faceless-video
- Manifest: https://skillstore.pages.dev/api/skills/higgsfield-ai-higgsfield-faceless-video/manifest

## Capabilities

- Plan and generate narrated explainers, documentaries, and stories through the Higgsfield CLI.
- Assemble ordered motion clips and narration with speech timing, audio coverage, duration, and decode checks.
- Build picture story timelines from local transcription and bind image job receipts to ordered frames.
- Guide creation and assembly of 60-second or 120-second children's song videos.
- Align authored narration to local transcription, export SRT subtitles, and burn captions into video.
- Replace selected 10-second video ranges or composite an explicitly requested, authorized presenter.

## Use Cases

- Illustrate a lesson: Create a narrated science explainer with diagram-led scenes, a consistent voice, and optional subtitles.
- Produce a documentary episode: Plan sourced narration, recurring visual references, and ordered motion blocks for a channel episode.
- Create an original children's song: Develop a supported-length song and matching illustrated scenes with consistent characters and a repeating chorus.

## Prompt Templates

### Create a short explainer

```
Create a 30-second faceless explainer about how rain forms, in English and 16:9. Use illustrated diagrams, one narrator, and no music or subtitles. Show available voices and estimated costs before generation.
```

### Build a narrated picture story

```
Create a 60-second picture story about a seed becoming a tree, in English and 9:16. Use storybook images, continuous narration, and subtitles. Verify local transcription prerequisites before paid generation and align scenes to the completed narration.
```

### Produce a sourced channel episode

```
Create a 90-second channel-style motion episode about early navigation, in English and 16:9. Use reliable sources, a recurring ship reference, varied shots, and one narrator. Validate the script, measure narration takes, and assemble only after all checks pass. Retain job receipts for recovery.
```

### Revise selected video ranges

```
Edit my previously generated 60-second faceless video using the supplied source and project assets. Replace only 10-20 seconds and 40-50 seconds with the supplied corrections. Preserve all other content and the existing style and voice. Validate patch ranges and replacement media, then assemble a full-length review draft. Do not upload or publish it.
```

## Limitations

- Generation requires a configured Higgsfield account, available models, paid credits, and local media tools.
- Captioning and picture stories require faster-whisper and an existing local transcription model; singing captions are unsupported.
- Song mode supports only 60 or 120 seconds; partial edits require ordered, non-overlapping 10-second grid ranges.
- Generated facts, identities, wording, and synchronization require human review; technical receipts do not guarantee content accuracy.

## Best Practices

- Confirm duration, aspect ratio, voice, image roles, subtitle prerequisites, and generation costs before paid work.
- Save job IDs, returned URLs, completed assets, scripts, and receipts in a persistent session directory.
- Use trusted asset URLs and review the first scene, failed timing checks, captions, and final video before delivery.

## Anti Patterns

- Speeding up narration or bypassing failed assembly checks to force a finished result.
- Regenerating completed assets or submitting duplicate jobs while an earlier generation is still running.
- Treating an incidental photo as presenter authorization or uploading a review draft without a request.

## Security Audit

- Audited at: 2026-10-28T14:47:53.43\+00:00
- Summary: Of 365 static findings, 364 are false positives covering media tooling, temporary files, provenance checks, and documentation. One low-severity download risk remains because untrusted URLs and redirects can reach internal services. No evidence found of prompt injection, credential theft, or malicious execution intent in the reviewed files.

## Stats

- Views: 0
- Downloads: 0
- Favorites: 0
- Popularity score: 0