Agent skill · marketing growth · mvanhorn
pp-everbee
Etsy niche research whose scores come with their evidence attached — seeded search, honest confidence, and a local store that turns repeat research into trends. Trigger phrases: `research the dad shirt niche on Etsy`, `is this Etsy niche low competition`, `find low-competition Etsy sub-niches under dad`, `what tags do winning Etsy listings use for this niche`, `size up the competitors in this Etsy niche`, `use everbee`, `run everbee`.
Why this skill is useful
Provides specific commands and workflows for niche Etsy research that the AI wouldn't reliably generate on its own.
What it needs
Requires everbee-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
<!-- GENERATED FILE — DO NOT EDIT. This file is a verbatim mirror of library/marketing/everbee/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/". --> EverBee — Printing Press CLI Prerequisites: Install the CLI This skill drives the everbee-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: everbee-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). 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. EverBee's data is the best Etsy research signal available, but its API will happily answer a question you did not ask: the default suggestion feeds return unranked filler regardless of your seed. This CLI queries the endpoints EverBee's own search boxes call, then stamps every returned row with a relevance score, an evidence count, and provenance. Confidence tracks evidence coverage, so a niche with no keyword support cannot come back looking confident. Use 'research niche' for a defensible verdict on one seed, 'research subniches' to rank a whole family of them, and 'selftest' to prove the data path is semantically sound before you trust a batch run. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills mvanhorn/pp-everbee