cohere-sdk-patterns
Apply production-ready Cohere SDK patterns for TypeScript and Python. Use when implementing Cohere integrations, refactoring SDK usage, or establishing team coding standards for Cohere API v2. Trigger with phrases like "cohere SDK patterns", "cohere best practices", "cohere code patterns", "idiomatic cohere", "cohere wrapper". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill cohere-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.
# Cohere SDK Patterns ## Overview Production-ready patterns for the `cohere-ai` TypeScript SDK (CohereClientV2) and Python `cohere` package. Real model names, real API shapes, real error types. ## Prerequisites - `cohere-ai` v7+ installed (TypeScript) or `cohere` v5+ (Python) - Familiarity with async/await patterns - Understanding of Cohere API v2 endpoints ## Instructions ### Pattern 1: Singleton
What does the cohere-sdk-patterns skill do?
Apply production-ready Cohere SDK patterns for TypeScript and Python. Use when implementing Cohere integrations, refactoring SDK usage, or establishing team coding standards for Cohere API v2. Trigger with phrases like "cohere SDK patterns", "cohere best practices", "cohere code patterns", "idiomatic cohere", "cohere wrapper". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill cohere-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.
