Agent skill

Face Transform

by majiayu000 in majiayu000/claude-skill-registry

Analyze and transform faces via AceDataCloud API. An agent skill from majiayu000/claude-skill-registry.

Apache-2.0Auto-check passed

Install Face Transform

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill face-transform -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry face-transform --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-ml/face-transform .claude/skills/face-transform && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "face-transform" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/face-transform into .claude/skills/face-transform/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "face-transform", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/face-transform

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill face-transform -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry face-transform --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-ml/face-transform .agents/skills/face-transform && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "face-transform" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/face-transform into .agents/skills/face-transform/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "face-transform", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill face-transform -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry face-transform --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-ml/face-transform .cursor/skills/face-transform && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "face-transform" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/face-transform into .cursor/skills/face-transform/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "face-transform", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/majiayu000/claude-skill-registry.git --path skills/ai-ml/face-transform

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill face-transform -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry face-transform --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-ml/face-transform .gemini/skills/face-transform && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "face-transform" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/face-transform into .gemini/skills/face-transform/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "face-transform", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry face-transform

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill face-transform -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-ml/face-transform .github/skills/face-transform && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "face-transform" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/face-transform into .github/skills/face-transform/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "face-transform", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill face-transform -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry face-transform --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-ml/face-transform .opencode/skills/face-transform && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "face-transform" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-ml/face-transform into .opencode/skills/face-transform/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "face-transform", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: face-transform
GitHub stars: 666
Used in: 1 other repo
Token cost: ~849 tokens
SKILL.md length: 242 words
Files: 2
Skills in repo: 971
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Analyze and transform faces via AceDataCloud API. An agent skill from majiayu000/claude-skill-registry.

Works in 7 steps: Face Analysis → Face Beautification → Age Transformation → …
Detecting face keypoints
SKILL.md covers Authentication, Quick Start, Available APIs and Workflows, plus 2 more sections
Calls curl; reaches api.acedata.cloud; needs ACEDATACLOUD_API_TOKEN

What it does

Face Transform is an agent skill from majiayu000/claude-skill-registry. Analyze and transform faces via AceDataCloud API. Use when detecting face keypoints, beautifying portraits, aging/de-aging faces, swapping genders, replacing faces between photos, creating cartoon avatars, or detecting liveness. Provides 7 specialized face APIs.

Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`). Compatibility notes: Requires ACEDATACLOUDAPITOKEN environment variable.

The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is Apache-2.0.

When your agent uses it

Detecting face keypoints
Beautifying portraits
Aging/de-aging faces
Swapping genders

Example prompts

“/face-transform”

Requirements

A credential in ACEDATACLOUD_API_TOKEN
Compatibility (from SKILL.md): Requires ACEDATACLOUD_API_TOKEN environment variable.

Workflow steps

7 steps, taken from the step headings in SKILL.md.

Face Analysis
Face Beautification
Age Transformation
Gender Swap
Face Swap
Cartoon Style
Liveness Detection

What it can do on your machine

Read from SKILL.md and the folder at commit 000116a. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- curl
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
- api.acedata.cloud
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- ACEDATACLOUD_API_TOKEN
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Requires ACEDATACLOUD_API_TOKEN environment variable.
From compatibility in the SKILL.md frontmatter.

Context cost

Face Transform loads about 849 tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 242 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~69
When it runs · the whole SKILL.md, loaded when a task matches: ~849

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from majiayu000/claude-skill-registry at commit 000116a, republished under its Apache-2.0 licence (© majiayu000). 242 words, ~849 tokens.

Download SKILL.mdSave it as .claude/skills/face-transform/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: face-transform
description: Analyze and transform faces via AceDataCloud API. Use when detecting face keypoints, beautifying portraits, aging/de-aging faces, swapping genders, replacing faces between photos, creating cartoon avatars, or detecting liveness. Provides 7 specialized face APIs.
compatibility: Requires ACEDATACLOUD_API_TOKEN environment variable.
license: Apache-2.0
metadata.author: acedatacloud
metadata.version: 1.0

Face Transform

Analyze and transform faces through AceDataCloud's Face API suite.

Authentication

bash

export ACEDATACLOUD_API_TOKEN="your-token-here"

Quick Start

bash

curl -X POST https://api.acedata.cloud/face/analyze \
  -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"image_url": "https://example.com/portrait.jpg"}'

Available APIs

Endpoint	Purpose	Description
`POST /face/analyze`	Face Detection	Detect face keypoints (90+ points per face)
`POST /face/beautify`	Beautification	Apply beauty/decoration effects
`POST /face/change-age`	Age Transform	Make a face look older or younger
`POST /face/change-gender`	Gender Swap	Transform facial gender characteristics
`POST /face/swap`	Face Swap	Replace one person's face with another
`POST /face/cartoon`	Cartoon Style	Convert portrait to animated/cartoon style
`POST /face/detect-live`	Liveness Check	Detect if a face image is from a live person

Workflows

1. Face Analysis

Detect faces and extract 90+ keypoints per face.

json

POST /face/analyze
{
  "image_url": "https://example.com/photo.jpg"
}

Response includes detailed keypoints: nose, mouth, left_eye, right_eye, left_eyebrow, right_eyebrow, contour — each as arrays of {x, y} coordinates.

2. Face Beautification

json

POST /face/beautify
{
  "image_url": "https://example.com/portrait.jpg"
}

3. Age Transformation

json

POST /face/change-age
{
  "image_url": "https://example.com/portrait.jpg"
}

4. Gender Swap

json

POST /face/change-gender
{
  "image_url": "https://example.com/portrait.jpg"
}

5. Face Swap

Replace the face in the target image with the face from the source.

json

POST /face/swap
{
  "image_url": "https://example.com/source-face.jpg",
  "target_image_url": "https://example.com/target-person.jpg"
}

6. Cartoon Style

json

POST /face/cartoon
{
  "image_url": "https://example.com/portrait.jpg"
}

7. Liveness Detection

json

POST /face/detect-live
{
  "image_url": "https://example.com/face-photo.jpg"
}

Common Parameters

Parameter	Required	Description
`image_url`	Yes	Source face image URL
`target_image_url`	For swap	Target image for face replacement

Gotchas

All face APIs are synchronous — no task polling needed, results return immediately
Face analyze returns 90+ keypoints per detected face, supporting multiple faces in one image
Face swap requires two images: source (the face to use) and target (the body to put it on)
All APIs are currently in Alpha stage — interfaces may evolve
Images should contain clearly visible, front-facing faces for best results
Liveness detection helps distinguish live photos from printed/screen photos

Files

SKILL.md and 1 other file in skills/ai-ml/face-transform of majiayu000/claude-skill-registry.

SKILL.md
metadata.json

Open the folder on GitHubat commit 000116a

Used in 1 other repository

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

NeverSight/learn-skills.devdata/skills-md/acedatacloud/skills/face-transform

Compare with similar skills

Face Transform next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Face Transform compared with similar skills
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Hugging Face Transformers Usagedavila7/claude-code-templates	32k	12 repos	~1.2k	Automated safety check: Pass	MIT	today
TransformersK-Dense-AI/scientific-agent-skills	48k	1 repos	~2.8k	Automated safety check: Notes	Apache-2.0	2 days ago
Threat Detectionalirezarezvani/claude-skills	28k	—	~3.5k	Automated safety check: Pass	MIT	1 mo ago
Resemble Detectgithub/awesome-copilot	40k	3 repos	~4.1k	Automated safety check: Pass	Apache-2.0	today
Pii Detectruvnet/ruflo	74k	1 repos	~350	Automated safety check: Notes	MIT	today

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Questions about Face Transform

What does Face Transform do?

Analyze and transform faces via AceDataCloud API. An agent skill from majiayu000/claude-skill-registry. Face Transform is an agent skill from majiayu000/claude-skill-registry. Analyze and transform faces via AceDataCloud API.

When should I use Face Transform?

Face Transform fits situations like: detecting face keypoints; beautifying portraits; aging/de-aging faces; swapping genders.

How do I install Face Transform in Claude Code?

Run `npx skills add majiayu000/claude-skill-registry --skill face-transform -a claude-code`. Or copy the skill folder (skills/ai-ml/face-transform in majiayu000/claude-skill-registry) into .claude/skills/face-transform in your project. Claude Code loads it when a task matches its description.

How do I install Face Transform in Codex?

Run `npx skills add majiayu000/claude-skill-registry --skill face-transform -a codex`. Or copy the skill folder (skills/ai-ml/face-transform in majiayu000/claude-skill-registry) into .agents/skills/face-transform in your project. Codex loads it when a task matches its description.

Can I use Face Transform in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill face-transform -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/face-transform, .gemini/skills/face-transform, .github/skills/face-transform and .opencode/skills/face-transform in your project.

What does Face Transform need to run?

Going by SKILL.md and its folder, Face Transform needs the command-line tools its instructions call (curl) and credentials named ACEDATACLOUD_API_TOKEN. Our summary lists: A credential in ACEDATACLOUD_API_TOKEN. Compatibility (from SKILL.md): Requires ACEDATACLOUD_API_TOKEN environment variable..

Does Face Transform access the network?

SKILL.md names 1 domain. In commands or code: api.acedata.cloud; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Face Transform safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Face Transform use?

Face Transform is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Face Transform use?

About 849 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Face Transform?

Skills that share tags, products or a category with Face Transform: Hugging Face Transformers Usage (davila7/claude-code-templates, 32k stars), Transformers (K-Dense-AI/scientific-agent-skills, 48k stars), Threat Detection (alirezarezvani/claude-skills, 28k stars) and Resemble Detect (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Face Transform?

majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 971 skills in this directory. The repository was last updated on October 7, 2026.

Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Face Transform

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Compatibility

Context cost

Safety

SKILL.md

Face Transform

Authentication

Quick Start

Available APIs

Workflows

1. Face Analysis

2. Face Beautification

3. Age Transformation

4. Gender Swap

5. Face Swap

6. Cartoon Style

7. Liveness Detection

Common Parameters

Gotchas

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from majiayu000/claude-skill-registry

Questions about Face Transform