Agent skill · marketing growth · mvanhorn
pp-pagliacci
Order Seattle's favorite pizza from the terminal — every endpoint, plus discount stacking, slice rotation across stores, half-and-half pies, and a small-party planner nobody else has. Trigger phrases: `order from pagliacci`, `what pagliacci slices are available`, `plan a pagliacci order for the family`, `build a half-and-half pagliacci pizza`, `pagliacci rewards balance`, `use pagliacci`, `run pagliacci`.
Why this skill is useful
Adds a CLI with unique commands for ordering pizza, optimizing discounts, and summarizing past orders that aren't available in public APIs.
What it needs
Requires pagliacci-pp-cli installed locally. About 11k tokens when loaded. Last updated 2026-08-06. 1,890 stars on the source repository.
What this skill does
Pagliacci Pizza — Printing Press CLI Prerequisites: Install the CLI This skill drives the pagliacci-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: pagliacci-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 1.26.6 or newer): 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. When to Use This CLI Use this CLI when an agent or user wants to interact with Pagliacci Pizza programmatically: browsing the menu, finding a store and time slot, building a half-and-half pizza, planning a small-party order, checking rewards balance, or replaying a past order. The CLI is built for households ordering for family or small parties. Unique Capabilities These capabilities aren't available in any other tool for this API. Local state that compounds slices today — See which Pagliacci slices are available right now at every Seattle store, sorted by proximity to your saved address. When the family asks 'what slices can we order tonight?', this returns a single comparable list — no per-store iteration needed. rewards stack — Compute the best application of stored coupons, reward redemption, and account credit for a given order total. Defaults to single-best-coupon + credit; multi-coupon stacking is flagged --experimental. Family-size orders ($40+) hit reward thresholds where stacking actually saves real money — agents pick the optimal discount, not just the first valid coupon. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills mvanhorn/pagliacci