bria-ai
Image generation, photo editing, background removal — transparent PNG images, cutouts, ecommerce packshots, product catalogs, lifestyle shots via Bria.ai.
Skill by Bria AI
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/bria-ai-bria-ai-3346e4
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing, marketing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 3
codeload.github.com· found in install commandengine.prod.bria-api.com· found in codeplatform.bria.ai· found in code
Files it touches
~/.claude/skills/bria-ai- Your home directory (~)
~/.bria/credentials
What's inside
- Skill name
bria-ai- Description
- Image generation, photo editing, background removal — transparent PNG images, cutouts, ecommerce packshots, product catalogs, lifestyle shots via Bria.ai. Build store-ready e-commerce catalogs at scale — shadows, product dimensions images, lifestyle scenes, marketplace listing variants. ALWAYS use this skill when the user wants to generate, edit, or transform any image — hero images, banners, social media visuals, product photos, illustrations, icons, thumbnails, ad creatives, or marketing materials — or to build a product catalog, create a packshot, stage a lifestyle shot, remove a background, make transparent PNGs, or batch-process product photos. Triggers on packshot, product catalog, product shot creator, lifestyle shot, cutout, product dimensions image, inpainting, outpainting, object removal, upscale, photo restoration, style transfer, relight, reseason, sketch-to-photo. Commercially safe, royalty-free.
- License
- MIT
- Metadata
- author: Bria AI · version: 1.4.0
- Instructions
- 346 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Instructions call the network
Files (7)
- LICENSE.txt
- SKILL.md
- api-endpoints.md · references/
- bria_client.sh · references/code-examples/
- build_catalog.py · references/code-examples/
- export_variants.py · references/code-examples/
- marketplace-presets.md · references/
SKILL.md (first lines)
# Bria — AI Image Generation, Editing & Background Removal
Commercially safe, royalty-free image generation and editing through 20+ API endpoints. Generate from text, edit with natural language, remove backgrounds, create product shots, and build automated image pipelines.
For additional endpoint details beyond what is documented here, see the [Bria API reference for agents](https://docs.bria.ai/llms.txt).
## When to Use This Skill
Use this skill when the user wants to:
- **Generate images** — "create an image of...", "make me a banner", "generate a hero image", "I need a product photo"
- **Edit images** — "change the background", "make it look like winter", "add a vase to the table", "remove the person"
- **Remove/replace backgrounds** — "make the background transparent", "cut out the product", "replace with a studio background"
- **Product photography** — "create a lifestyle shot", "place this product in a kitchen scene", "e-commerce packshot"
- **Enhance/transform** — "upscale this image", "make it higher resolution", "restyle as oil painting", "change the lighting"
- **Batch/pipeline** — "generate 10 product images", "process all these images", "remove backgrounds in bulk"
This skill handles the full spectrum of AI image operations. If the user mentions images, photos, visuals, or any visual content creation — use this skill.
---
## What You Can Build
- **E-commerce product catalog** — Generate product photos, remove backgrounds for transparent PNGs, place products in lifestyle scenes (kitchen, office, outdoor), create packshots with consistent style
- **Landing page visuals** — Generate hero images, abstract tech backgrounds, team photos, and section illustrations — all matching your brand aesthetic
- **Social media content** — Instagram posts (1:1), Stories/Reels (9:16), LinkedIn banners (16:9), ad creatives — batch-generate variants for A/B testing
- **Marketing campaign assets** — Seasonal transformations (summer→winter), restyle product shots for different markets, create localized visuals at scale
- **Photo restoration pipeline** — Restore old damaged photos, colorize black & white images, upscale low-res photos to 4x, enhance quality automatically
- **Brand asset toolkit** — Remove backgrounds from logos, blend artwork onto products (t-shirts, mugs), create consistent product photography across your entire catalog
- **AI-powered design workflows** — Chain operations: generate→edit→remove background→place in scene→upscale — all automated through API pipelines
---
## Setup — Authentication
Before making any API call, you need a valid Bria access token.
### Step 1: Check for existing credentials
```bash
if [ -f ~/.bria/credentials ]; then
BRIA_ACCESS_TOKEN=$(grep '^access_token=' "$HOME/.bria/credentials" | cut -d= -f2-)
BRIA_API_KEY=$(grep '^api_token=' "$HOME/.bria/credentials" | cut -d= -f2-)
fi
if [ -z "$BRIA_ACCESS_TOKEN" ]; then
echo "NO_CREDENTIALS"
elif [ -n "$BRIA_API_KEY" ]; then
echo "READY"
else
echo "CREDENTIALS_FOUND"
fi
```
If the output is `READY`, skip straight to making API calls — no introspection needed.
If the output is `CREDENTIALS_FOUND`, skip to Step 3.
If the output is `NO_CREDENTIALS`, proceed to Step 2.
### Step 2: Authenticate via device authorization
Start the device authorization flow:
**2a. Request a device code:**
```bash
DEVICE_RESPONSE=$(curl -s -X POST "https://engine.prod.bria-api.com/v2/auth/device/authorize" \
-H "Content-Type: application/json")
echo "$DEVICE_RESPONSE"
```
Parse the response fields:
- `device_code` — used to poll for the token (keep this, don't show to user)
- `user_code` — the code the user must enter (e.g. `BRIA-XXXX`)
- `interval` — seconds between poll attempts
**2b. Show the user a single sign-in link.** Tell them exactly this — nothing more:
> **Connect your Bria account:** [Click here to sign in](https://platform.bria.ai/device/verify?user_code={user_code})
> Your code is **{user_code}** — it's already filled in.
Do NOT show two links. Do NOT show the raw URL separately. Do NOT use `verification_uri` from the API response. Keep it to one clickable link.
**2c. Poll for the token.** After showing the user the code, immediately start polling. Try up to 60 times with the given interval (default 5 seconds):
```bash
for i in $(seq 1 60); do
TOKEN_RESPONSE=$(curl -s -X POST "https://engine.prod.bria-api.com/v2/auth/token" \
-d "grant_type=urn:ietf:params:oauth:grant-type:device_code" \
-d "device_code=$DEVICE_CODE")
ACCESS_TOKEN=$(printf '%s' "$TOKEN_RESPONSE" | sed -n 's/.*"access_token" *: *"\([^"]*\)".*/\1/p')
if [ -n "$ACCESS_TOKEN" ]; then
BRIA_ACCESS_TOKEN="$ACCESS_TOKEN"
REFRESH_TOKEN=$(printf '%s' "$TOKEN_RESPONSE" | sed -n 's/.*"refresh_token" *: *"\([^"]*\)".*/\1/p')
mkdir -p ~/.bria
printf 'access_token=%s\nrefresh_token=%s\n' "$BRIA_ACCESS_TOKEN" "$REFRESH_TOKEN" > "$HOME/.bria/credentials"
echo "AUTHENTICATED"
break
fi
sleep 5
done
```
If the output contains `AUTHENTICATED`, proceed to Step 3. Otherwise the code expired — start over from Step 2a.
**Do not proceed with any API call until authentication is confirmed.**
### Step 3: Verify billing status and resolve API key
Introspect the bearer token to check billing status and obtain the real API key for Bria API calls:
```bash
INTROSPECT=$(curl -s -X POST "https://engine.prod.bria-api.com/v2/auth/token/introspect" \
-d "token=$BRIA_ACCESS_TOKEN")
BILLING_STATUS=$(printf '%s' "$INTROSPECT" | sed -n 's/.*"billing_status" *: *"\([^"]*\)".*/\1/p')
if [ "$BILLING_STATUS" = "blocked" ]; then
BILLING_MSG=$(printf '%s' "$INTROSPECT" | sed -n 's/.*"billing_message" *: *"\([^"]*\)".*/\1/p')
echo "BILLING_ERROR: $BILLING_MSG"
fi
ACTIVE=$(printf '%s' "$INTROSPECT" | sed -n 's/.*"active" *: *\([^,}]*\).*/\1/p' | tr -d ' ')
if [ "$ACTIVE" = "false" ]; then
# Clear stale tokens so re-auth starts fresh (credentials file is re-created in Step 2c)From Bria-AI/bria-skill, MIT.
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Compare and alternatives
Featured in
Signals
- Stars
- 72
- Forks
- 7
- Open issues
- 0
- Last commit (this folder)
- Oct 21, 2026 (6 days ago)
- Last release
- Oct 21, 2026 (6 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- 1.4.0
- License
- MIT
- Repository
- github.com/Bria-AI/bria-skill
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
bria-ai skill. Agent Mart. https://agentmart.dev/skills/bria-ai-bria-ai-3346e4 (last updated 2026-10-24)