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Agent Skill · 效率

bria-ai-skill(bria AI 技能)

bria-ai-skill 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

bria-ai-skill 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在效率类的 21,003 个 Skill 里排第 20,992。

总安装 318周安装 13GitHub Stars 公开资料未说明下载 102核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.2.5

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:bria-ai-skill(bria AI 技能)
来源仓库:https://github.com/galbria/bria-ai-skill
安装命令:
openclaw skills install bria-ai-skill
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install bria-ai-skill

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

bria-ai-skill 用于处理图像、截图、视觉识别或图片素材相关工作,适合在 OpenClaw 中需要让 Agent 分析图片、整理视觉素材或辅助图像流程时使用。适用于图像处理、视觉资源管理和 AI 图像生成等需求。支持产品图像创建、背景编辑和批量生成等功能。

安装命令为 openclaw skills install bria-ai-skill,建议确认权限范围。使用前需评估是否会触发联网、命令执行或文件读写操作。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install bria-ai-skill;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要接触敏感数据,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

bria-ai-skill 怎么安装?

在终端执行 openclaw skills install bria-ai-skill。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

bria-ai-skill 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

bria-ai-skill 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

bria-ai-skill 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

bria-ai-skill 用的人多吗?

公开数据是累计安装 318 次,近一周安装 13 次,下载 102 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

bria-ai-skill 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
bria-ai-skill

bria AI 技能 · 本页

318—接触敏感数据MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
bria-ai
description
Generate, edit, create product images with AI. Remove or replace backgrounds, lifestyle shots, transparent PNGs, visual assets, batch generation, illustrations. Controllable image editing with Bria.ai commercially-safe models — fine-grained control over what gets generated, edited, or removed. Edit by text instruction, mask specific regions, add/replace/remove individual objects, control lighting, season, and style. Use for e-commerce product photography, background removal, image upscaling, style transfer, hero images, icons, banners, and pipeline workflows. Triggers on AI image generation, controllable editing, background removal, or visual asset creation.
homepage
https://bria.ai
license
MIT
metadata
author
Bria AI
version
1.2.5
dependencies
name
BRIA_API_KEY
description
Bria AI API key (get one at https://platform.bria.ai/console/account/api-keys)

Bria — Generate, Edit & Remove Background from Images with AI

Generate, edit, and create visual assets using Bria's commercially-safe AI models (FIBO, RMBG-2.0, GenFill, and more). Remove or replace backgrounds, create product lifestyle shots, generate transparent PNGs, batch generate images, and build pipeline workflows. Unlike black-box generators, Bria gives you fine-grained control: edit by text instruction, mask specific regions, add/replace/remove individual objects, change lighting or season independently.

Setup — API Key Check

Before making any Bria API call, check for the API key and help the user set it up if missing:

Step 1: Check if the key exists

echo $BRIA_API_KEY

If the output is not empty, skip to the next section.

Step 2: If the key is missing, guide the user

Tell the user exactly this:

To use image generation, you need a free Bria API key. 1. Go to https://platform.bria.ai/console/account/api-keys 2. Sign up or log in 3. Click Create API Key

Wait for the user to provide their API key. Do not proceed until they give you the key.

Do not proceed with any image generation or editing until the API key is confirmed set.


Core Capabilities

NeedCapabilityUse Case
Generate images from textFIBO GenerateHero images, product shots, illustrations, social media images, banners
Edit images by text instructionFIBO-EditChange colors, modify objects, transform scenes
Edit image region with maskGenFill/ErasePrecise inpainting, add/replace specific regions
Add/Replace/Remove objectsText-based editingAdd vase, replace apple with pear, remove table
Remove background (transparent PNG)RMBG-2.0Extract subjects for overlays, logos, cutouts
Replace/blur/erase backgroundBackground opsChange, blur, or remove backgrounds
Expand/outpaint imagesOutpaintingExtend boundaries, change aspect ratios
Upscale image resolutionSuper ResolutionIncrease resolution 2x or 4x
Enhance image qualityEnhancementImprove lighting, colors, details
Restyle imagesRestyleOil painting, anime, cartoon, 3D render
Change lightingRelightGolden hour, spotlight, dramatic lighting
Change seasonReseasonSpring, summer, autumn, winter
Composite/blend imagesImage BlendingApply textures, logos, merge images
Restore old photosRestorationFix old/damaged photos
Colorize imagesColorizationAdd color to B&W, or convert to B&W
Sketch to photoSketch2ImageConvert drawings to realistic photos
Create product lifestyle shotsLifestyle ShotPlace products in scenes for e-commerce
Integrate products into scenesProduct IntegrateEmbed products at exact coordinates

Quick Reference

Generate an Image (FIBO)

curl -X POST "https://engine.prod.bria-api.com/v2/image/generate" \
  -H "api_token: $BRIA_API_KEY" \
  -H "Content-Type: application/json" \
  -H "User-Agent: BriaSkills/1.2.5" \
  -d '{
    "prompt": "your description",
    "aspect_ratio": "16:9",
    "resolution": "1MP",
    "sync": true
  }'

Aspect ratios: 1:1 (square), 16:9 (hero/banner), 4:3 (presentation), 9:16 (mobile/story), 3:4 (portrait)

Resolution: 1MP (default) or 4MP (improved details for photorealism, adds ~30s latency)

Sync mode: Pass "sync": true in the request body for single image generation to get the result directly in the response. For batch/multiple image generation, omit sync (or set false) and use polling instead.

Advanced: For precise, deterministic control over generation, use VGL structured prompts instead of natural language. VGL defines every visual attribute (objects, lighting, composition) as explicit JSON.

Remove Background (RMBG-2.0)

curl -X POST "https://engine.prod.bria-api.com/v2/image/edit/remove_background" \
  -H "api_token: $BRIA_API_KEY" \
  -H "Content-Type: application/json" \
  -H "User-Agent: BriaSkills/1.2.5" \
  -d '{"image": "https://..."}'

Returns PNG with transparency.

Edit Image (FIBO-Edit) - No Mask Required

curl -X POST "https://engine.prod.bria-api.com/v2/image/edit" \
  -H "api_token: $BRIA_API_KEY" \
  -H "Content-Type: application/json" \
  -H "User-Agent: BriaSkills/1.2.5" \
  -d '{
    "images": ["https://..."],
    "instruction": "change the mug to red"
  }'

Edit Image Region with Mask (GenFill)

curl -X POST "https://engine.prod.bria-api.com/v2/image/edit/gen_fill" \
  -H "api_token: $BRIA_API_KEY" \
  -H "Content-Type: application/json" \
  -H "User-Agent: BriaSkills/1.2.5" \
  -d '{
    "image": "https://...",
    "mask": "https://...",
    "prompt": "what to generate in masked area"
  }'

Expand Image (Outpainting)

curl -X POST "https://engine.prod.bria-api.com/v2/image/edit/expand" \
  -H "api_token: $BRIA_API_KEY" \
  -H "Content-Type: application/json" \
  -H "User-Agent: BriaSkills/1.2.5" \
  -d '{
    "image": "base64-or-url",
    "aspect_ratio": "16:9",
    "prompt": "coffee shop background, wooden table"
  }'

Upscale Image

curl -X POST "https://engine.prod.bria-api.com/v2/image/edit/increase_resolution" \
  -H "api_token: $BRIA_API_KEY" \
  -H "Content-Type: application/json" \
  -H "User-Agent: BriaSkills/1.2.5" \
  -d '{"image": "https://...", "scale": 2}'

Create Product Lifestyle Shot

curl -X POST "https://engine.prod.bria-api.com/v1/product/lifestyle_shot_by_text" \
  -H "api_token: $BRIA_API_KEY" \
  -H "Content-Type: application/json" \
  -H "User-Agent: BriaSkills/1.2.5" \
  -d '{
    "image": "https://product-with-transparent-bg.png",
    "prompt": "modern kitchen countertop, natural morning light"
  }'

Integrate Products into Scene

Place one or more products at exact coordinates in a scene. Products are automatically cut out and matched to the scene's lighting and perspective.

curl -X POST "https://engine.prod.bria-api.com/image/edit/product/integrate" \
  -H "api_token: $BRIA_API_KEY" \
  -H "Content-Type: application/json" \
  -H "User-Agent: BriaSkills/1.2.5" \
  -d '{
    "scene": "https://scene-image-url",
    "products": [
      {
        "image": "https://product-image-url",
        "coordinates": {"x": 100, "y": 200, "width": 300, "height": 400}
      }
    ]
  }'

Response Handling

Sync (single image generation)

For single image requests, pass "sync": true in the request body. The response returns the result directly — no polling needed.

Async with polling (batch generation)

For batch or multiple image generation, omit sync (or set "sync": false). The response returns a status URL to poll:

{
  "request_id": "uuid",
  "status_url": "https://engine.prod.bria-api.com/v2/status/uuid"
}

Poll the status_url until status: "COMPLETED", then get result.image_url.

import requests, time

def get_result(status_url, api_key):
    while True:
        r = requests.get(status_url, headers={"api_token": api_key, "User-Agent": "BriaSkills/1.2.5"})
        data = r.json()
        if data["status"] == "COMPLETED":
            return data["result"]["image_url"]
        if data["status"] == "FAILED":
            raise Exception(data.get("error"))
        time.sleep(2)

Prompt Engineering Tips

  • Style: "professional product photography" vs "casual snapshot", "flat design illustration" vs "3D rendered"
  • Lighting: "soft natural light", "studio lighting", "dramatic shadows"
  • Background: "white studio", "gradient", "blurred office", "transparent"
  • Composition: "centered", "rule of thirds", "negative space on left for text"
  • Quality keywords: "high quality", "professional", "commercial grade", "4K", "sharp focus"
  • Negative prompts: "blurry, low quality, pixelated", "text, watermark, logo"

API Reference

See references/api-endpoints.md for complete endpoint documentation.

Key Endpoints

Image Generation

EndpointPurpose
POST /v2/image/generateGenerate images from text (FIBO)

Edit by Text (No Mask)

EndpointPurpose
POST /v2/image/editEdit image with natural language instruction
POST /v2/image/edit/add_object_by_textAdd objects to image
POST /v2/image/edit/replace_object_by_textReplace objects in image
POST /v2/image/edit/erase_by_textRemove objects by name

Edit with Mask

EndpointPurpose
POST /v2/image/edit/gen_fillInpaint/generate in masked region
POST /v2/image/edit/eraseErase masked region

Background Operations

EndpointPurpose
POST /v2/image/edit/remove_backgroundRemove background (RMBG-2.0)
POST /v2/image/edit/replace_backgroundReplace with AI-generated background
POST /v2/image/edit/blur_backgroundApply blur to background
POST /v2/image/edit/erase_foregroundRemove foreground, fill background
POST /v2/image/edit/crop_foregroundCrop tightly around subject

Image Transformation

EndpointPurpose
POST /v2/image/edit/expandOutpaint to new aspect ratio
POST /v2/image/edit/enhanceEnhance quality and details
POST /v2/image/edit/increase_resolutionUpscale 2x or 4x
POST /v2/image/edit/blendBlend/merge images or textures
POST /v2/image/edit/reseasonChange season/weather
POST /v2/image/edit/restyleTransform artistic style
POST /v2/image/edit/relightModify lighting

Restoration

EndpointPurpose
POST /v2/image/edit/sketch_to_colored_imageConvert sketch to photo
POST /v2/image/edit/restoreRestore old/damaged photos
POST /v2/image/edit/colorizeColorize B&W or convert to B&W

Product Photography

EndpointPurpose
POST /v1/product/lifestyle_shot_by_textCreate product lifestyle shots by text
POST /image/edit/product/integrateIntegrate products into scene at exact coordinates

Utilities

EndpointPurpose
POST /v2/structured_instruction/generateGenerate JSON instruction (no image)
GET /v2/status/{id}Check async request status

Authentication

All requests need api_token header:

api_token: YOUR_BRIA_API_KEY
User-Agent: BriaSkills/<version>
Required: Always include the User-Agent: BriaSkills/<version> header (where <version> is the current skill version from package.json, e.g. BriaSkills/1.2.5) in every API call, including status polling requests.

Additional Resources

Related Skills

  • vgl — Write structured VGL JSON prompts for precise, deterministic control over FIBO image generation
  • image-utils — Classic image manipulation (resize, crop, composite, watermarks) for post-processing

适合场景

01

商品图处理

02

人像抠图

03

透明背景素材

04

营销设计资产

能力概览

能力 1

调用背景移除模型

能力 2

输出透明背景图片

能力 3

支持商品、人像和营销素材处理

能力 4

可接入图像编辑工作流

平台分布

OpenClaw

70.65%
按下载量换算72

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

可疑

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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