Global Rank · of 601 Skills
upscale image AI Agent Skill
View Source: b-open-io/gemskills
CriticalInstallation
npx skills add b-open-io/gemskills --skill upscale image 20
Installs
Upscale Image
Upscale images using Imagen on Vertex AI.
Prerequisites
This skill requires Vertex AI credentials (not GEMINI_API_KEY).
Check Current Setup
echo "Project: ${GOOGLE_CLOUD_PROJECT:-NOT SET}"
gcloud auth application-default print-access-token &>/dev/null && echo "Auth: OK" || echo "Auth: NOT CONFIGURED"First-Time Setup
If credentials are not configured, guide the user through these steps:
Get a Google Cloud Project
- Go to: https://console.cloud.google.com/projectcreate
- Create a new project or use an existing one
- Note the Project ID (not the project name)
Enable Vertex AI API
- Go to: https://console.cloud.google.com/apis/library/aiplatform.googleapis.com
- Click "Enable"
Enable Billing
- Go to: https://console.developers.google.com/billing/enable?project=YOUR_PROJECT_ID
- Link a billing account
Install gcloud CLI (if not installed)
- Go to: https://cloud.google.com/sdk/docs/install
- Or on macOS:
brew install google-cloud-sdk
Authenticate
gcloud auth application-default loginThis opens a browser for Google sign-in.
Set Environment Variable
echo 'export GOOGLE_CLOUD_PROJECT=your-project-id' >> ~/.zshenv
Usage
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/upscale-image/scripts/upscale.ts <input-image> [options]Options
--factor <x2|x4>- Upscale factor (default: x2)--format <png|jpeg|webp>- Output format--quality <n>- JPEG quality (1-100)--output <path>- Output path--project <id>- Google Cloud project (overrides env var)--location <region>- Vertex AI location (default: us-central1)
Examples
# 2x upscale
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/upscale-image/scripts/upscale.ts photo.jpg
# 4x upscale
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/upscale-image/scripts/upscale.ts photo.jpg --factor x4
# Upscale and save as PNG
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/upscale-image/scripts/upscale.ts photo.jpg --factor x4 --format png --output hires.png
# Specify project explicitly
bun run --cwd ${CLAUDE_PLUGIN_ROOT} ${CLAUDE_PLUGIN_ROOT}/skills/upscale-image/scripts/upscale.ts photo.jpg --project my-gcp-project --factor x4Context Discipline
Do not read generated images back into context. The script outputs only the file path. Ask the user to visually inspect the result. Upscaled images are especially large (2x/4x resolution) and will quickly exhaust the context window.
Model
Uses imagen-3.0-generate-002 via Vertex AI upscaleImage API.
Why Vertex AI?
The Imagen upscaling API is only available through Vertex AI, not the standard Gemini API. This is a Google limitation - the upscaleImage method in the @google/genai SDK only works with Vertex AI backend.
Installs
Security Audit
View Source
b-open-io/gemskills
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How to use this skill
Install upscale image by running npx skills add b-open-io/gemskills --skill upscale image in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.
No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.
The skill enhances your agent's understanding of upscale image, helping it follow established patterns, avoid common mistakes, and produce production-ready output.
What you get
Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.
Compatibility
This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.
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