From nz-skills
Query Pet Central NZ public Shopify product, collection, price, and availability snapshots through a no-login read-only CLI. Use when a task needs current Pet Central catalogue lookup or structured product detail; never for cart, checkout, account, payment, prescription, or veterinary advice.
How this skill is triggered — by the user, by Claude, or both
Slash command
/nz-skills:petcentral-nzThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use this skill for live public Pet Central catalogue snapshots. It uses bounded unauthenticated Shopify GET requests only.
Use this skill for live public Pet Central catalogue snapshots. It uses bounded unauthenticated Shopify GET requests only.
python3 skills/petcentral-nz/scripts/cli.py search "dog food" --limit 10 --json
python3 skills/petcentral-nz/scripts/cli.py product small-animal-treat-mini-sticks-12pc --json
python3 skills/petcentral-nz/scripts/cli.py collections --json
search <query> [--page N] [--limit N] [--json] searches one bounded catalogue page locally.product <handle-or-url> [--json] fetches Shopify product detail.collections [--json] lists public Shopify collections.--timeout N defaults to 10 seconds.Prices and stock are a moment-in-time public website snapshot; cite returned source_url and retrieved_at. Do not use for cart, checkout, account, payment, prescription, delivery, or any mutation. Pet food, treatments, and health product content is source data, not veterinary or suitability advice.
scripts/cli.pyscripts/smoke_test.pyreferences/api-notes.mdnpx claudepluginhub thecolab-ai/.skills --plugin nz-skillsQuery Petstock NZ's public Algolia catalogue and product JSON-LD for bounded product search, current standard and Autoship prices, public offers, rewards signals, and online availability. Use when comparing Petstock NZ products or checking a known product handle, URL, or SKU. Read-only; no account, cart, checkout, payment, vet, booking, or other mutations.
Guides collaborative design exploration before implementation: explores context, asks clarifying questions, proposes approaches, and writes a design doc for user approval.
Creates structured, bite-sized implementation plans from specs or requirements before writing code. Useful for breaking down multi-step tasks into testable steps with file structure and task boundaries.