apify-sdk-patterns
Production-ready patterns for Apify SDK and apify-client in TypeScript. Use when building Actors with Crawlee, managing datasets/KV stores, or implementing robust client wrappers with retry and validation. Trigger with "apify SDK patterns", "apify best practices", "apify client wrapper", "crawlee patterns", "idiomatic apify". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill apify-sdk-patterns --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Apify SDK Patterns ## Overview Production patterns for both the `apify` SDK (building Actors) and `apify-client` (calling Actors remotely). Covers Crawlee crawler selection, data storage, proxy configuration, and typed client wrappers. This skill gives you the essential skeletons inline; the full eight-pattern catalog and two worked scenarios live in `references/` for progressive drill-down. ##
What does the apify-sdk-patterns skill do?
Production-ready patterns for Apify SDK and apify-client in TypeScript. Use when building Actors with Crawlee, managing datasets/KV stores, or implementing robust client wrappers with retry and validation. Trigger with "apify SDK patterns", "apify best practices", "apify client wrapper", "crawlee patterns", "idiomatic apify". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill apify-sdk-patterns --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
