castai-sdk-patterns
Production-ready CAST AI REST API wrapper patterns in TypeScript and Python. Use when building reusable CAST AI clients, implementing retry logic, or wrapping the CAST AI API for team use. Trigger with phrases like "cast ai API patterns", "cast ai client wrapper", "cast ai TypeScript", "cast ai Python client". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill castai-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.
# CAST AI SDK Patterns ## Overview CAST AI uses a REST API with `X-API-Key` header authentication. There is no official SDK -- build typed wrappers around `fetch` or `requests`. These patterns cover singleton clients, typed responses, retry with backoff, and multi-cluster management. ## Prerequisites - Completed `castai-install-auth` setup - TypeScript 5+ or Python 3.10+ - Familiarity with async/a
What does the castai-sdk-patterns skill do?
Production-ready CAST AI REST API wrapper patterns in TypeScript and Python. Use when building reusable CAST AI clients, implementing retry logic, or wrapping the CAST AI API for team use. Trigger with phrases like "cast ai API patterns", "cast ai client wrapper", "cast ai TypeScript", "cast ai Python client". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill castai-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.