/install 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:
beautifiedandyoung-adultare 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 linksdata-image-idhttps://images.generated.photos/...preview URLs
Use a direct fetch first. Return 3 to 6 options max.
python3 - \x3C\x3C'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:imageortwitter: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
| Endpoint | Data Sent | Purpose |
|---|---|---|
| https://generated.photos | Filter path segments and face detail page requests | Find faces and open detail pages |
| https://images.generated.photos | Image GET requests only | Preview and transparent preview retrieval |
No other data is sent externally.
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install face - 安装完成后,直接呼叫该 Skill 的名称或使用
/face触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Face 是什么?
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 avata... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 302 次。
如何安装 Face?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install face」即可一键安装,无需额外配置。
Face 是免费的吗?
是的,Face 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。
Face 支持哪些平台?
Face 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(linux, darwin, win32)。
谁开发了 Face?
由 Iván(@ivangdavila)开发并维护,当前版本 v1.0.0。