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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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Prix non confirmé★ 1 Stars GitHubRegistre mis à jour · 1 sept. 2026videoai-videofaceless

Vue d’ensemble

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.

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Documentation source, pas des instructions pour ce site. Vérifiez les permissions avant d’exécuter des commandes.

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

CommandWhat it doesEndpoint
faceless whoamiIdentify the callerGET /me
faceless creditsCredit balance and historyGET /credits
faceless videos createCreate a faceless video from a scriptPOST /videos
faceless videos captionsCaption an existing video or audio filePOST /videos/captions
faceless videos listList the team's videosGET /videos
faceless videos getGet one videoGET /videos/{id}
faceless videos updateUpdate a video's name or post metadataPATCH /videos/{id}
faceless videos statusPoll video generation progressGET /videos/{id}/status
faceless videos renderRender a video to MP4POST /videos/{id}/render
faceless videos deleteDelete a videoDELETE /videos/{id}
faceless renders getPoll render progressGET /renders/{id}
faceless series createCreate an automated video seriesPOST /series
faceless series listList the team's seriesGET /series
faceless series getGet one seriesGET /series/{id}
faceless series updateUpdate a seriesPATCH /series/{id}
faceless series deleteDelete a seriesDELETE /series/{id}
faceless series generateGenerate the next episode nowPOST /series/{id}/generate
faceless series episodesList a series' episodesGET /series/{id}/episodes
faceless posts publishPublish a rendered video to a platform nowPOST /posts
faceless posts scheduleSchedule a video to one or more platformsPOST /posts/schedule
faceless posts cancelCancel a scheduled postDELETE /posts/{id}
faceless calendarPosting calendarGET /calendar
faceless accountsList connected social accountsGET /accounts
faceless voicesList TTS voicesGET /voices
faceless optionsList content option catalogsGET /options
faceless assets createRegister a media asset by URLPOST /assets
faceless analyticsCross-platform posting analyticsGET /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).

Métadonnées du fichier
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.
Voir le texte 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).

Examiner la source

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Un chemin vers les instructions est enregistré. Cela ne constitue pas un test, une garantie de sécurité ou de compatibilité.

Réviser avant installation: Éviter l’installation automatique

Licence: Inconnu

  • La licence est ambiguë
  • 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
Ouvrir l’audit complet

Les outils sont des indications de métadonnées, pas une compatibilité testée. Les prompts sont des suggestions.

Commencer par une petite tâche

  1. 1Lisez la source et confirmez entrées, résultats, dépendances et permissions.
  2. 2Demandez un plan à l’agent. Approuvez la configuration et les coûts avant un test isolé.
  3. 3Vérifiez résultats et fichiers modifiés. Signalez uniquement ce qui a été exécuté et conservez la révision source.

Vérifiez les dépendances, clés API et frais externes dans la source. Un dépôt public ne rend pas tous les services gratuits.

Source et conseils d’utilisation

Répertorié

Métadonnées et examens sont indicatifs. Popularité, découverte et exécution réussie sont des faits distincts.

Dépôt source
Side-Products/faceless-skill
Licence
Inconnu
Version
1.0.0
Dernier push GitHub
20 août 2026
Registre mis à jour
1 sept. 2026
Chemin des instructions
SKILL.md

Version déclarée dans le registre ; vérifiez les versions de la source.

Qualité

51/100

Revue nécessaire

Confiance

51/100

Do not auto-install

Audit

65/100

Revue nécessaire

  • La licence est ambiguë
  • 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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Plus de détails
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    ],
    "known_risks": [
      "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": "krillinai-krillinai-render-vertical",
      "name": "krillinai-render-vertical",
      "url": "https://www.openagentskill.com/skills/krillinai-krillinai-render-vertical",
      "stars": 12682,
      "install_command": "npx skills add krillinai/OpenCreator --skill krillinai-render-vertical",
      "trust_score": 83,
      "audit_score": 85
    },
    {
      "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": 12682,
      "install_command": "npx skills add krillinai/OpenCreator --skill krillinai-render-horizontal",
      "trust_score": 82,
      "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"
  }
}

Pour le créateur

Source de la fiche

Soumis par la communauté

Revendiable

Cette fiche a été indexée à partir de sources publiques et n’est pas marquée officielle tant qu’une revendication de mainteneur n’est pas approuvée.

Créateur
Side-Products
Indexé par
Index communautaire OpenAgentSkill

L’attribution renvoie au dépôt public ou au profil du créateur. Les créateurs peuvent revendiquer la fiche pour mettre à jour les signaux de propriété.

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Cette fiche Soumis par la communauté est attribuée à Side-Products, mais n’est pas encore marquée officielle. Revendiquez-la pour ajouter un signal de propriétaire vérifié et rendre les futures mises à jour de lancement, d’installation et d’audit plus fiables.

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Ajoutez les badges de preuve à votre README

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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)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/side-products-faceless-skill?metric=trust&label=Trust)](https://www.openagentskill.com/skills/side-products-faceless-skill?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/side-products-faceless-skill?metric=audit&label=Audit)](https://www.openagentskill.com/skills/side-products-faceless-skill/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/side-products-faceless-skill?metric=proven&label=Agent%20Proven)](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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