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faceless

Create, render and publish AI faceless videos with Faceless.so. Use when the user asks about creating faceless videos, AI video generation from a script, auto-posting to YouTube, TikTok, Instagram or X, automated video series, scheduling short-form content across platforms, or ch

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Precio sin confirmar★ 1 Estrellas de GitHubRegistro actualizado · 1 sept 2026video ai-video faceless

Resumen

Leer documentación completa

Documentación de origen, no instrucciones para este sitio. Revisa los permisos antes de ejecutar comandos.

Faceless.so

Faceless.so turns a narration script into a finished faceless video: TTS voiceover, AI-generated visuals, captions and music. Videos render in the cloud and publish to connected YouTube, TikTok, Instagram, X, Facebook, LinkedIn and Threads accounts, either immediately or on a schedule. Series generate and post new episodes automatically.

When to use this skill

"Make a faceless video from this script" -> videos create, poll status, render, publish
"Post this to YouTube Shorts / TikTok" or "schedule it for Friday 6pm" -> posts publish or posts schedule
"Set up a channel that posts a scary story every day" -> series create
"Generate the next episode now" -> series generate
"What is queued? How did my posts do?" -> calendar, analytics
"How many Faceless credits do I have?" -> credits

Setup: install the CLI if missing

Check the CLI: faceless --version
If not found, install it: npm install -g faceless-cli (or use npx -y faceless-cli <command> without installing)
Authenticate, one of:
- FACELESS_API_KEY environment variable already set: nothing to do
- Otherwise ask the user for an API key (created at https://faceless.so/developers) and run faceless login
Verify: faceless whoami

If npm is unavailable, fall back to the raw HTTP API (see the last section).

Core concepts

A team owns credits, API keys and connected social accounts; every command runs in the key's team context (faceless whoami shows it).
Credits are charged at video creation time, by model: storyboard 20, motion_lite 50, motion_pro 100 credits per video. Rendering and publishing are free.
Videos generate asynchronously: videos create returns an id immediately; poll videos status until completed, then videos render and poll renders get for the MP4 URL.
Series are set-and-forget channels: they generate and auto-post a new episode on their schedule, charging the per-episode model cost each time.
Scheduling to a platform requires that platform's post metadata on the video first (videos update), and a connected account (faceless accounts).
Always pass --json when running commands from a script or agent and parse the success field.

Command reference

Command	What it does	Endpoint
`faceless whoami`	Identify the caller	GET /me
`faceless credits`	Credit balance and history	GET /credits
`faceless videos create`	Create a faceless video from a script	POST /videos
`faceless videos captions`	Caption an existing video or audio file	POST /videos/captions
`faceless videos list`	List the team's videos	GET /videos
`faceless videos get`	Get one video	GET /videos/{id}
`faceless videos update`	Update a video's name or post metadata	PATCH /videos/{id}
`faceless videos status`	Poll video generation progress	GET /videos/{id}/status
`faceless videos render`	Render a video to MP4	POST /videos/{id}/render
`faceless videos delete`	Delete a video	DELETE /videos/{id}
`faceless renders get`	Poll render progress	GET /renders/{id}
`faceless series create`	Create an automated video series	POST /series
`faceless series list`	List the team's series	GET /series
`faceless series get`	Get one series	GET /series/{id}
`faceless series update`	Update a series	PATCH /series/{id}
`faceless series delete`	Delete a series	DELETE /series/{id}
`faceless series generate`	Generate the next episode now	POST /series/{id}/generate
`faceless series episodes`	List a series' episodes	GET /series/{id}/episodes
`faceless posts publish`	Publish a rendered video to a platform now	POST /posts
`faceless posts schedule`	Schedule a video to one or more platforms	POST /posts/schedule
`faceless posts cancel`	Cancel a scheduled post	DELETE /posts/{id}
`faceless calendar`	Posting calendar	GET /calendar
`faceless accounts`	List connected social accounts	GET /accounts
`faceless voices`	List TTS voices	GET /voices
`faceless options`	List content option catalogs	GET /options
`faceless assets create`	Register a media asset by URL	POST /assets
`faceless analytics`	Cross-platform posting analytics	GET /analytics

Full flag-level detail: references/api-reference.md (or https://faceless.so/llms-full.txt).

Common workflows

Script to published video, end to end

faceless videos create --script "Did you know the ocean has rivers of its own? ..." \
  --voice-id EXAVITQu4vr4xnSDxMaL --model storyboard --json   # charges 20 credits, returns id
faceless videos status <videoId> --json    # poll every 10-30s until status "completed"
faceless videos render <videoId> --json    # returns renderId
faceless renders get <renderId> --json     # poll every 5-15s until status "done", gives the MP4 url
faceless posts publish --video-id <videoId> --platform youtube --title "Underwater rivers are real" --json

Pick a voice with faceless voices --json; enumerate styles, niches, models and more with faceless options --kind <kind> --json.

Automated series

faceless series create --name "Deep sea facts" --source "Facts & stories" \
  --niche "Ocean facts" --voice EXAVITQu4vr4xnSDxMaL --duration 60 \
  --auto-post-time 18:00 --timezone America/New_York --json
faceless series generate <seriesId> --json   # force the next episode now (charges the model cost)
faceless series episodes <seriesId> --json   # track output

Schedule one video to several platforms

faceless videos update <videoId> \
  --youtube-title "Underwater rivers are real" --tiktok-title "underwater rivers #ocean" --json
faceless posts schedule --video-id <videoId> --platforms youtube,tiktok \
  --scheduled-time "2026-08-01T18:00:00Z" --json
faceless calendar --start-date 2026-08-01 --end-date 2026-08-07 --json   # confirm the queue

Every platform in --platforms must have its post metadata set on the video first; scheduling rejects platforms whose metadata is missing. Cancel with faceless posts cancel <videoId> --json.

Error handling

Errors look like { "success": false, "error": { "type", "message" } }.

unauthorized (401): re-run faceless login (or fix FACELESS_API_KEY)
forbidden_scope (403): the key lacks a scope; ask the user to create a key with the needed scopes at https://faceless.so/developers
insufficient_credits (402): tell the user to buy credits at https://faceless.so/credits
rate_limited (429): respect the Retry-After header, wait and retry
invalid_input (400): fix the flags per references/api-reference.md
not_found (404): the id is wrong or belongs to another team

Raw HTTP fallback (no CLI)

Base URL https://faceless.so/api/v1, header Authorization: Bearer $FACELESS_API_KEY.

curl -s https://faceless.so/api/v1/me -H "Authorization: Bearer $FACELESS_API_KEY"

Machine-readable surface: https://faceless.so/api/v1/openapi.json and https://faceless.so/llms-full.txt. A remote MCP server is also available at https://faceless.so/api/v1/mcp (same Authorization header).

Ver fuente ↗

Metadatos del archivo

name: faceless
description: Create, render and publish AI faceless videos with Faceless.so. Use when the user asks about creating faceless videos, AI video generation from a script, auto-posting to YouTube, TikTok, Instagram or X, automated video series, scheduling short-form content across platforms, or checking Faceless credits and post analytics.

Ver texto original

---
name: faceless
description: Create, render and publish AI faceless videos with Faceless.so. Use when the user asks about creating faceless videos, AI video generation from a script, auto-posting to YouTube, TikTok, Instagram or X, automated video series, scheduling short-form content across platforms, or checking Faceless credits and post analytics.
---

# Faceless.so

Faceless.so turns a narration script into a finished faceless video: TTS voiceover, AI-generated visuals, captions and music. Videos render in the cloud and publish to connected YouTube, TikTok, Instagram, X, Facebook, LinkedIn and Threads accounts, either immediately or on a schedule. Series generate and post new episodes automatically.

## When to use this skill

- "Make a faceless video from this script" -> videos create, poll status, render, publish
- "Post this to YouTube Shorts / TikTok" or "schedule it for Friday 6pm" -> posts publish or posts schedule
- "Set up a channel that posts a scary story every day" -> series create
- "Generate the next episode now" -> series generate
- "What is queued? How did my posts do?" -> calendar, analytics
- "How many Faceless credits do I have?" -> credits

## Setup: install the CLI if missing

1. Check the CLI: `faceless --version`
2. If not found, install it: `npm install -g faceless-cli` (or use `npx -y faceless-cli <command>` without installing)
3. Authenticate, one of:
   - `FACELESS_API_KEY` environment variable already set: nothing to do
   - Otherwise ask the user for an API key (created at https://faceless.so/developers) and run `faceless login`
4. Verify: `faceless whoami`

If npm is unavailable, fall back to the raw HTTP API (see the last section).

## Core concepts

- A team owns credits, API keys and connected social accounts; every command runs in the key's team context (`faceless whoami` shows it).
- Credits are charged at video creation time, by model: storyboard 20, motion_lite 50, motion_pro 100 credits per video. Rendering and publishing are free.
- Videos generate asynchronously: `videos create` returns an id immediately; poll `videos status` until completed, then `videos render` and poll `renders get` for the MP4 URL.
- Series are set-and-forget channels: they generate and auto-post a new episode on their schedule, charging the per-episode model cost each time.
- Scheduling to a platform requires that platform's post metadata on the video first (`videos update`), and a connected account (`faceless accounts`).
- Always pass `--json` when running commands from a script or agent and parse the `success` field.

## Command reference

| Command | What it does | Endpoint |
| --- | --- | --- |
| `faceless whoami` | Identify the caller | GET /me |
| `faceless credits` | Credit balance and history | GET /credits |
| `faceless videos create` | Create a faceless video from a script | POST /videos |
| `faceless videos captions` | Caption an existing video or audio file | POST /videos/captions |
| `faceless videos list` | List the team's videos | GET /videos |
| `faceless videos get` | Get one video | GET /videos/{id} |
| `faceless videos update` | Update a video's name or post metadata | PATCH /videos/{id} |
| `faceless videos status` | Poll video generation progress | GET /videos/{id}/status |
| `faceless videos render` | Render a video to MP4 | POST /videos/{id}/render |
| `faceless videos delete` | Delete a video | DELETE /videos/{id} |
| `faceless renders get` | Poll render progress | GET /renders/{id} |
| `faceless series create` | Create an automated video series | POST /series |
| `faceless series list` | List the team's series | GET /series |
| `faceless series get` | Get one series | GET /series/{id} |
| `faceless series update` | Update a series | PATCH /series/{id} |
| `faceless series delete` | Delete a series | DELETE /series/{id} |
| `faceless series generate` | Generate the next episode now | POST /series/{id}/generate |
| `faceless series episodes` | List a series' episodes | GET /series/{id}/episodes |
| `faceless posts publish` | Publish a rendered video to a platform now | POST /posts |
| `faceless posts schedule` | Schedule a video to one or more platforms | POST /posts/schedule |
| `faceless posts cancel` | Cancel a scheduled post | DELETE /posts/{id} |
| `faceless calendar` | Posting calendar | GET /calendar |
| `faceless accounts` | List connected social accounts | GET /accounts |
| `faceless voices` | List TTS voices | GET /voices |
| `faceless options` | List content option catalogs | GET /options |
| `faceless assets create` | Register a media asset by URL | POST /assets |
| `faceless analytics` | Cross-platform posting analytics | GET /analytics |

Full flag-level detail: references/api-reference.md (or https://faceless.so/llms-full.txt).

## Common workflows

### Script to published video, end to end

```bash
faceless videos create --script "Did you know the ocean has rivers of its own? ..." \
  --voice-id EXAVITQu4vr4xnSDxMaL --model storyboard --json   # charges 20 credits, returns id
faceless videos status <videoId> --json    # poll every 10-30s until status "completed"
faceless videos render <videoId> --json    # returns renderId
faceless renders get <renderId> --json     # poll every 5-15s until status "done", gives the MP4 url
faceless posts publish --video-id <videoId> --platform youtube --title "Underwater rivers are real" --json
```

Pick a voice with `faceless voices --json`; enumerate styles, niches, models and more with `faceless options --kind <kind> --json`.

### Automated series

```bash
faceless series create --name "Deep sea facts" --source "Facts & stories" \
  --niche "Ocean facts" --voice EXAVITQu4vr4xnSDxMaL --duration 60 \
  --auto-post-time 18:00 --timezone America/New_York --json
faceless series generate <seriesId> --json   # force the next episode now (charges the model cost)
faceless series episodes <seriesId> --json   # track output
```

### Schedule one video to several platforms

```bash
faceless videos update <videoId> \
  --youtube-title "Underwater rivers are real" --tiktok-title "underwater rivers #ocean" --json
faceless posts schedule --video-id <videoId> --platforms youtube,tiktok \
  --scheduled-time "2026-08-01T18:00:00Z" --json
faceless calendar --start-date 2026-08-01 --end-date 2026-08-07 --json   # confirm the queue
```

Every platform in `--platforms` must have its post metadata set on the video first; scheduling rejects platforms whose metadata is missing. Cancel with `faceless posts cancel <videoId> --json`.

## Error handling

Errors look like `{ "success": false, "error": { "type", "message" } }`.

- `unauthorized` (401): re-run `faceless login` (or fix `FACELESS_API_KEY`)
- `forbidden_scope` (403): the key lacks a scope; ask the user to create a key with the needed scopes at https://faceless.so/developers
- `insufficient_credits` (402): tell the user to buy credits at https://faceless.so/credits
- `rate_limited` (429): respect the Retry-After header, wait and retry
- `invalid_input` (400): fix the flags per references/api-reference.md
- `not_found` (404): the id is wrong or belongs to another team

## Raw HTTP fallback (no CLI)

Base URL `https://faceless.so/api/v1`, header `Authorization: Bearer $FACELESS_API_KEY`.

```bash
curl -s https://faceless.so/api/v1/me -H "Authorization: Bearer $FACELESS_API_KEY"
```

Machine-readable surface: https://faceless.so/api/v1/openapi.json and https://faceless.so/llms-full.txt. A remote MCP server is also available at https://faceless.so/api/v1/mcp (same Authorization header).

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Fuente del skill registrada

La ruta de instrucciones está registrada. No implica pruebas de ejecución, seguridad ni compatibilidad.

Revisar antes de instalar: Evitar instalación automática

Licencia: Desconocido

La licencia no está clara
Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Repository has no license file, making usage rights unclear.
Low GitHub adoption signal
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 1 GitHub stars
Stars/forks activity: 1 stars, 0 forks; issue activity unavailable in current metadata
License clarity: Unknown

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Las herramientas son indicios de metadatos, no compatibilidad probada. Los prompts son sugerencias.

Empieza con una tarea pequeña

1Lee la fuente y confirma entradas, resultados, dependencias y permisos.
2Pide un plan al agente. Aprueba la configuración y los costes antes de probar en un entorno aislado.
3Comprueba resultados y archivos modificados. Informa solo de lo ejecutado y conserva la revisión de la fuente.

Consulta dependencias, claves API y costes externos en la fuente. Un repositorio público no implica servicios gratuitos.

Fuente y notas de uso

Indexado

Los metadatos y revisiones son orientativos. Popularidad, descubrimiento y ejecución correcta son hechos distintos.

Repositorio fuente: Side-Products/faceless-skill
Licencia: Desconocido
Versión: 1.0.0
Último push de GitHub: 20 ago 2026
Registro actualizado: 1 sept 2026
Ruta de instrucciones: SKILL.md

Versión declarada en el registro; consulta las versiones de la fuente.

Calidad

51/100

Requiere revisión

Confianza

51/100

Do not auto-install

Auditoría

65/100

Requiere revisión

Abrir auditoría completa Ver informe de evaluación

La licencia no está clara
Dependency or permission surface needs review
Permission surface may require sandboxing
Financial research output is not financial advice; require human review before any live investment decision
Repository has no license file, making usage rights unclear.
Low GitHub adoption signal
Financial research output is not financial advice; require human review before any live investment decision.
Quality score needs review
Permission surface needs review: secrets or environment access, shell or command execution
GitHub adoption: 1 GitHub stars
Stars/forks activity: 1 stars, 0 forks; issue activity unavailable in current metadata
License clarity: Unknown

Verified installs: —
Resultados: —

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Más detalles

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      "Repository has no license file, making usage rights unclear.",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "License is unclear",
      "Low GitHub adoption signal",
      "Quality score needs review",
      "Permission surface needs review: secrets or environment access, shell or command execution",
      "GitHub adoption: 1 GitHub stars",
      "Stars/forks activity: 1 stars, 0 forks; issue activity unavailable in current metadata"
    ]
  },
  "agent_proven": {
    "version": "agent-proven-v1",
    "score": 0,
    "tier": "unproven",
    "label": "Needs first agent run",
    "summary": "No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.",
    "metrics": {
      "totalOutcomes": 0,
      "successfulOutcomes": 0,
      "failedOutcomes": 0,
      "installAttempts": 0,
      "installSuccessRate": null,
      "successRate": null,
      "recentSuccessRate": null,
      "recentFailureRate": null,
      "riskBlocked": 0,
      "setupRequired": 0,
      "notRelevant": 0,
      "avgOutputQuality": null,
      "avgTimeToUsefulMs": null,
      "productionOutcomes": 0,
      "humanReviewRequired": 0,
      "uniqueAgents": 0,
      "lastOutcomeAt": null
    },
    "signals": [],
    "penalties": [
      "No real agent outcome evidence yet"
    ]
  },
  "audit": {
    "score": 65,
    "risk_level": "needs_review",
    "risk_label": "Needs review",
    "warnings": [
      "License is unclear",
      "Dependency or permission surface needs review",
      "Permission surface may require sandboxing",
      "Financial research output is not financial advice; require human review before any live investment decision",
      "Repository has no license file, making usage rights unclear.",
      "Low GitHub adoption signal",
      "Financial research output is not financial advice; require human review before any live investment decision.",
      "Quality score needs review"
    ]
  },
  "safety_gate": {
    "tier": "blocked",
    "label": "Blocked for auto-install",
    "auto_install_policy": "block",
    "auto_install_allowed": false,
    "human_review_required": true,
    "blocked": true,
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
  },
  "quality": {
    "score": 51,
    "label": "Needs review"
  },
  "supply": {
    "track": "Design and creative production",
    "scenario": "Design and creative",
    "maintenance": "2mo since push",
    "risk": "Needs review"
  },
  "alternative_skills": [
    {
      "slug": "latent-spaces-brag-slim",
      "name": "brag-slim",
      "url": "https://www.openagentskill.com/skills/latent-spaces-brag-slim",
      "stars": 13807,
      "install_command": "npx skills add latent-spaces/brag --skill brag-slim",
      "trust_score": 81,
      "audit_score": 84
    },
    {
      "slug": "krillinai-krillinai-render-horizontal",
      "name": "krillinai-render-horizontal",
      "url": "https://www.openagentskill.com/skills/krillinai-krillinai-render-horizontal",
      "stars": 12690,
      "install_command": "npx skills add krillinai/OpenCreator --skill krillinai-render-horizontal",
      "trust_score": 82,
      "audit_score": 85
    },
    {
      "slug": "orchestra-research-nemo-curator",
      "name": "nemo-curator",
      "url": "https://www.openagentskill.com/skills/orchestra-research-nemo-curator",
      "stars": 13443,
      "install_command": "npx skills add Orchestra-Research/AI-Research-SKILLs --skill nemo-curator",
      "trust_score": 81,
      "audit_score": 85
    }
  ],
  "do_not_use_when": [
    "teams that need a vendor-supported SLA",
    "production agents without a repository review",
    "Low GitHub adoption signal",
    "Repository has no license file, making usage rights unclear.",
    "High-risk permission hints: Shell or command execution, Secrets or environment access",
    "License is unclear",
    "Dependency or permission surface needs review",
    "Permission surface may require sandboxing"
  ],
  "agent_contract": {
    "task_input": "Use faceless in an agent workflow",
    "recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
    "install_policy": "block",
    "minimum_review_before_use": [
      "Trust: 59/100 Manual review",
      "Audit: 65/100 Needs review",
      "Safety: 21/100 Avoid automatic install",
      "Review repository, license, install command, and permission surface before production use."
    ],
    "expected_agent_output": {
      "selected_skill": "side-products-faceless-skill (faceless)",
      "install_command": "npx skills add Side-Products/faceless-skill --skill faceless",
      "risk_summary": "Needs review; Blocked for auto-install; Review before production",
      "verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
    }
  },
  "outcome_feedback": {
    "endpoint": "https://www.openagentskill.com/api/agent/outcome",
    "method": "POST",
    "requires_resolve_event_id": true,
    "event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
    "expected_outcomes": [
      "success",
      "failed",
      "not_relevant",
      "blocked_by_risk",
      "setup_required"
    ],
    "payload_template": {
      "event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
      "skill_slug": "side-products-faceless-skill",
      "task": "Use faceless in an agent workflow",
      "agent": "codex",
      "outcome": "success",
      "install_used": true,
      "risk_blocked": false,
      "setup_required": false,
      "task_success": true,
      "output_quality": 4,
      "error_type": null,
      "human_review_required": false,
      "workspace": "sandbox",
      "time_to_useful_ms": 120000,
      "notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
    }
  },
  "endpoints": {
    "web": "https://www.openagentskill.com/skills/side-products-faceless-skill",
    "api": "https://www.openagentskill.com/api/agent/skills/side-products-faceless-skill",
    "audit": "https://www.openagentskill.com/skills/side-products-faceless-skill/audit",
    "eval": "https://www.openagentskill.com/api/agent/evals?slug=side-products-faceless-skill&task=Use%20faceless%20in%20an%20agent%20workflow&max_risk=medium",
    "resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20faceless%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
    "receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20faceless%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
    "install": "https://www.openagentskill.com/api/skills/side-products-faceless-skill/install",
    "manifest": "https://www.openagentskill.com/api/registry/manifest/side-products-faceless-skill"
  }
}

Para el creador

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Esta ficha se indexó desde fuentes públicas y no está marcada como oficial hasta que se apruebe una reclamación de mantenedor.

Creador: Side-Products
Fuente: Side-Products/faceless-skill
Indexado por: Índice comunitario de OpenAgentSkill

La atribución enlaza al repositorio público o al perfil del creador. Los creadores pueden reclamar la ficha para actualizar las señales de propiedad.

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[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/side-products-faceless-skill?metric=listed&label=Listed)](https://www.openagentskill.com/skills/side-products-faceless-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
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Resumen

Faceless.so

When to use this skill

Setup: install the CLI if missing

Core concepts

Command reference

Common workflows

Script to published video, end to end

Automated series

Schedule one video to several platforms

Error handling

Raw HTTP fallback (no CLI)

Revisar el código fuente

Precio y costes de ejecución

Empieza con una tarea pequeña

Fuente y notas de uso

Acceso para agentes

Skills relacionados

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Enviado por la comunidad

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