cohere-api
Cohere API for embeddings, RAG, reranking, and semantic search.
npx skills add majiayu000/claude-skill-registry --skill cohere-api --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-api ## Purpose This skill integrates the Cohere API to handle AI tasks like generating embeddings, implementing Retrieval-Augmented Generation (RAG), reranking results, and performing semantic search. It's designed for enhancing AI workflows with Cohere's language models, using real-time API calls for efficient processing. ## When to Use Use this skill when processing text for vector embeddings in ML pipelines, building RAG systems for accurate query responses, reranking search results for relevance, or conducting semantic searches on large datasets. Apply it in scenarios requiring API-based AI enhancements, such as chatbots needing contextual retrieval or applications analyzing text similarity. ## Key Capabilities - Generate embeddings: Convert text to vectors via the /embed endpoint, supporting models like "embed-english-v3.0" for up to 512 tokens per request. - RAG implementation: Fetch and augment responses using /generate with external data sources, handling up to 2048 tokens for input and output. - Reranking: Use the /rerank endpoint to score and reorder lists of texts based on query relevance, with options for top-k results. - Semantic search: Leverage embeddings fo
- Purpose
- When to Use
- Key Capabilities
- Usage Patterns
- Common Commands/API
- Integration Notes
- Error Handling
- Concrete Usage Examples
- Graph Relationships
What does the cohere-api skill do?
Cohere API for embeddings, RAG, reranking, and semantic search.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill cohere-api --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 majiayu000/claude-skill-registry, a repository with 534 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.
