Generate or edit images via OpenRouter with the Gemini 3 Pro Image model. Use for prompt-only image generation, image edits, and multi-image compositing; supports 1K/2K/4K output.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Attribution: Sourced from github/awesome-copilot by GitHub Community, licensed MIT. Modified for this collection.
Generate or edit images with OpenRouter using the google/gemini-3-pro-image-preview model. Support prompt-only generation, single-image edits, and multi-image composition.
uv run {baseDir}/scripts/generate_image.py \
--prompt "A cinematic sunset over snow-capped mountains" \
--filename sunset.png
uv run {baseDir}/scripts/generate_image.py \
--prompt "Replace the sky with a dramatic aurora" \
--input-image input.jpg \
--filename aurora.png
uv run {baseDir}/scripts/generate_image.py \
--prompt "Combine the subjects into a single studio portrait" \
--input-image face1.jpg \
--input-image face2.jpg \
--filename composite.png
--resolution with 1K, 2K, or 4K.1K if not specified.The skill reads an optional system prompt from assets/SYSTEM_TEMPLATE. This allows you to customize the image generation behavior without modifying code.
--input-image.--filename accepts relative paths (saves to current directory) or absolute paths.-1, -2, etc. to the filename.MEDIA: <path> for each saved image. Do not read images back into the response.If the script exits non-zero, check stderr against these common blockers:
| Symptom | Resolution |
|---|---|
OPENROUTER_API_KEY is not set | Ask the user to set it. PowerShell: $env:OPENROUTER_API_KEY = "sk-or-..." / bash: export OPENROUTER_API_KEY="sk-or-..." |
uv: command not found or not recognized | Install uv with a package manager when available: brew install uv on macOS or winget install --id astral-sh.uv -e on Windows. For the standalone installer, download it to a file, inspect it, and execute that saved file as shown below. Then restart the terminal. |
AuthenticationError / HTTP 401 | Key is invalid or has no credits. Verify at https://openrouter.ai/settings/keys. |
Standalone installer fallback:
# macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh -o uv-install.sh
less uv-install.sh
sh uv-install.sh
rm uv-install.sh
# Windows PowerShell
Invoke-WebRequest https://astral.sh/uv/install.ps1 -OutFile uv-install.ps1
Get-Content uv-install.ps1 | More
powershell -ExecutionPolicy ByPass -File .\uv-install.ps1
Remove-Item .\uv-install.ps1
Do not execute the downloaded installer until its contents have been reviewed. The canonical installation options are documented at https://docs.astral.sh/uv/getting-started/installation/.
For transient errors (HTTP 429, network timeouts), retry once after 30 seconds. Do not retry the same error more than twice — surface the issue to the user instead.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Use when long-lived agents, project memories, system prompts, or playbooks are repeatedly summarized, rewritten, or optimized and risk losing domain detail, provenance, or execution learnings.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
日本語の概要は準備中です。原文の説明を表示しています。
Adds educational comments to a code file so it becomes a learning resource, asking for the file (with a list of close matches) if none is given. Use when preparing code for learners, onboarding, or teaching.
日本語の概要は準備中です。原文の説明を表示しています。
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
日本語の概要は準備中です。原文の説明を表示しています。
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
日本語の概要は準備中です。原文の説明を表示しています。
Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"
日本語の概要は準備中です。原文の説明を表示しています。