Agent skill · mvanhorn

pp-openrouter-image

Every image model on OpenRouter, one key: generate, rank, estimate, and batch with a local cost ledger. Trigger phrases: `generate an image`, `create a picture`, `which image model is cheapest`, `estimate the cost of this image`, `regenerate that image`, `batch of images`, `use openrouter-image`, `run openrouter-image`.

What it needs

About 9k tokens when loaded.

What this skill does

<!-- GENERATED FILE — DO NOT EDIT. This file is a verbatim mirror of library/ai/openrouter-image/SKILL.md, regenerated post-merge by tools/generate-skills/. Hand-edits here are silently overwritten on the next regen. Edit the library/ source instead. See the repository agent guide, section "Generated artifacts: registry.json, cli-skills/". --> OpenRouter — Printing Press CLI Prerequisites: Install the CLI This skill drives the openrouter-image-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first: 1. Install via the Printing Press installer. It defaults binaries to $HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows: 2. Verify: openrouter-image-pp-cli --version 3. Ensure the reported install directory is on $PATH for the agent/runtime that will invoke this skill. If the npx install fails (no Node, offline, etc.), fall back to a direct Go install (requires Go 1.26.5 or newer). This installs into $GOPATH/bin (default $HOME/go/bin), so add that directory to $PATH instead: If --version reports "command not found" after install, the runtime cannot see the binary directory on $PATH. Do not proceed with skill commands until verification succeeds. OpenRouter's Image API fronts 40+ image models from every major lab. This CLI adds what the API alone lacks: offline model ranking by capability and budget, pre-spend cost estimates, deterministic re-generation from a local history ledger, budget-gated batch runs, and a weekly spend digest. Model selection is always explicit — every generation names its model. When to Use This CLI Use this CLI when an AI agent or human needs to generate images on demand through OpenRouter with explicit model selection, wants to pick the cheapest capable provider before spending, run budgeted batches from a CSV, reproduce past generations exactly, or track image-generation spend over time. …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills mvanhorn/pp-openrouter-image

View the source on GitHub

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