voyageai-skillVoyage AI embedding and reranking CLI integrated with MongoDB Atlas Vector Search. Use for: generating text embeddings, reranking search results, storing embeddings in Atlas, performing vector similarity search, creating vector search indexes, listing available models, comparing text similarity, bulk ingestion, interactive demos, and learning about AI concepts. Triggers: embed text, generate embeddings, vector search, rerank documents, voyage ai, semantic search, similarity search, store embeddings, atlas vector search, embedding models, cosine similarity, bulk ingest, explain embeddings.
Install via ClawdBot CLI:
clawdbot install mrlynn/voyageai-skillGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
eval (Calls external URL not in known-safe list
https://mlynn.orgAI Analysis
The skill is a wrapper for a documented, legitimate CLI tool (voyageai-cli) that interacts with the user's own MongoDB Atlas instance and the official Voyage AI API. The identified signals are not indicative of malicious behavior: the 'eval' command is not present in the provided skill definition, and the author's personal website is not a security risk. The primary risk is the standard dependency on external APIs, requiring user API keys.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
Improve product discovery by using vector search to find semantically similar items based on descriptions, then rerank results for relevance. This helps customers find products even with vague queries, increasing conversion rates.
Store support articles as embeddings in MongoDB Atlas and perform vector similarity searches to quickly retrieve relevant answers for customer inquiries. Reranking ensures the most accurate responses are prioritized, reducing resolution time.
Embed research paper abstracts and use vector search to find related studies based on semantic content rather than keywords. Researchers can efficiently explore literature, with reranking to highlight the most pertinent papers.
Generate embeddings for articles, videos, or podcasts and recommend similar content to users based on their viewing history. Vector search enables personalized suggestions, while reranking fine-tunes the order for engagement.
Embed legal documents and use vector search to find precedents or similar cases quickly. Reranking helps prioritize the most relevant documents, aiding lawyers in research and case preparation.
Offer a cloud-based service where businesses can integrate Voyage AI embeddings and reranking via APIs. Charge subscription fees based on usage tiers, such as number of embeddings generated or searches performed.
Provide expert services to help companies set up and optimize MongoDB Atlas Vector Search with Voyage AI. Offer training, custom workflows, and ongoing support for a fee.
Use the skill to process and analyze large datasets, generating embeddings for clients to enhance their AI models. Sell insights or enriched data as a product to businesses in sectors like marketing or research.
💬 Integration Tip
Ensure VOYAGE_API_KEY is securely stored and use the config command for persistent setup to streamline workflows.
Scored May 17, 2026
Use Redis effectively for caching, queues, and data structures with proper expiration and persistence.
MarkItDown is a Python utility from Microsoft for converting various files (PDF, Word, Excel, PPTX, Images, Audio) to Markdown. Useful for extracting structu...
Database Designer - POWERFUL Tier Skill
Execute SQL queries, inspect Snowflake databases, schemas, tables, views, warehouses, and data pipeline resources. Use this skill when users want to query da...
Skill Oracle — Curated documentation of quality ClawHub skills. Markdown tables telling agents which tools work and which are empty. Not an API or code library.
Database Schema Designer