Face

Put a human face on your agent with fast avatar shortlists, gender control, transparent options, and reusable profile links. Use when the user wants an avatar, profile face, or group image.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "Face" with this command: npx skills add ivangdavila/face

Put a Face on Your Agent

Use this skill to give an agent, persona, group, or Telegram surface a real human-looking face fast.

The job is simple:

  • open a stable face listing URL
  • extract a small shortlist of faces
  • send the options to the user to choose
  • if one is approved, reuse that link as the avatar or suggest saving it in identity

Core Workflow

1. Start from the stable URL

Default to:

https://generated.photos/faces/beautified/{gender}/young-adult

Notes:

  • beautified and young-adult are the best default for this use case
  • gender is the main parameter that usually matters
  • the site may also accept .../young-adult/{gender}, but the canonical form resolves to .../{gender}/young-adult

2. Only trust filters the site already exposes

From the page HTML, the route families that were verified as stable are:

  • head pose: front-facing, left-facing, right-facing
  • race: asian-race, black-race, latino-race, white-race
  • eye color: brown-eyes, grey-eyes, blue-eyes, green-eyes
  • hair color: brown-hair, black-hair, blond-hair
  • hair length: short, medium, long
  • emotion: joy, neutral

Do not invent deeper URL combinations from memory. If the user wants narrower filtering, open the base page and follow the exact links that page emits.

3. Extract faces from HTML before using a browser

The page already contains:

  • /face/... detail links
  • data-image-id
  • https://images.generated.photos/... preview URLs

Use a direct fetch first. Return 3 to 6 options max.

python3 - <<'PY'
import json
import re
from urllib.request import Request, urlopen

url = "https://generated.photos/faces/beautified/female/young-adult"
raw = urlopen(Request(url, headers={"User-Agent": "Mozilla/5.0"})).read().decode()

cards = re.findall(
    r'href="(/face/[^"]+)".*?data-image-id="([^"]+)".*?src="(https://images.generated.photos[^"]+)"',
    raw,
    re.S,
)
transparent = {
    image_id: thumb.replace("\\u002F", "/")
    for image_id, thumb in re.findall(
        r'id:"([^"]+)".*?transparent:\{thumb_url:"([^"]+)"',
        raw,
    )
}

for n, (detail, image_id, thumb) in enumerate(cards[:6], 1):
    print(json.dumps({
        "n": n,
        "detail": "https://generated.photos" + detail,
        "thumb": thumb,
        "transparent": transparent.get(image_id),
    }))
PY

4. Treat background as extraction, not routing

Do not model background as a clean route parameter.

What was verified:

  • the page UI shows a background area
  • the route itself does not expose a simple stable public background parameter
  • transparent versions appear in embedded data as transparent.thumb_url

Rule:

  • if the user wants a transparent avatar, prefer transparent.thumb_url
  • if the user wants a bigger preview, open the chosen detail page and use the 512px og:image or twitter:image

5. Always keep the user in the loop

Default output should be:

  • 3 to 6 numbered options
  • one normal preview per option
  • transparent preview too when available
  • the detail page link

Do not auto-pick unless the user asks.

6. Reuse the chosen face properly

Once the user chooses one:

  • propose using it as the avatar for the agent, group, Telegram profile, or similar
  • if it is their long-term face, suggest storing the chosen link in identity
  • keep the detail page link, not just the image preview URL

Recommended Response Shape

When you answer, keep it compact:

I found 4 options for your agent face.

1. Option A
   Detail: ...
   Preview: ...
   Transparent: ...

2. Option B
   Detail: ...
   Preview: ...
   Transparent: ...

Tell me which one you want and I’ll prepare it as the avatar.

Common Mistakes

  • guessing URL variants instead of following the page's real filters
  • trying to control background through the route
  • showing too many faces at once
  • saving only the preview URL instead of the detail link
  • changing an avatar without explicit approval

External Endpoints

EndpointData SentPurpose
https://generated.photosFilter path segments and face detail page requestsFind faces and open detail pages
https://images.generated.photosImage GET requests onlyPreview and transparent preview retrieval

No other data is sent externally.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

Automation

Scalekit-Agent-Auth

Use this skill whenever the user asks for information from, or wants to take an action in, a third-party tool or service. This includes — but is not limited...

Registry SourceRecently Updated
Automation

ComfyUI Controller

支持批量生成10-100个修仙视频和图片,集成LTX2多版本模型与自动化浏览器及工作流管理功能。

Registry SourceRecently Updated
Automation

Cyber Horn

Turn text into spoken Feishu (Lark) voice messages. Use when the agent should speak in a Feishu group, send voice alerts or announcements, or reply with a pl...

Registry SourceRecently Updated
Automation

Arithym

Exact arithmetic for AI agents — zero hallucination math via 62 tools covering integer arithmetic, fractions, units, calculus, and financial calculations. Us...

Registry SourceRecently Updated
1050Profile unavailable