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Weaviate introduces Agent Skills repository

Source Decision Insights Record Published February 21, 2026 Companies 3
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3 companies named across 7 categories, one of 52 articles referencing GitHub. Previous coverage: Netskope reports results from fifth global engineering hackathon (Feb 2026).

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Seniority
Staff
Job function
Data Analytics / Data Science / AI / Machine Learning and Data Science
Persona
Data / AI Platform Engineer
Buyer role
Technical Implementer / Administrator
Decision stage
Where to buy
Adoption curve
Early Adopters
Industry
Information Technology / Software & Services / IT Services / AI Infrastructure

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Weaviate released Weaviate Agent Skills, an open-source repository that provided structured skills, slash commands, and production-ready cookbooks designed to reduce Artificial Intelligence (AI) coding errors and speed Weaviate-based application development.

The release built on Weaviate's Query Agent, which the company previewed in March 2025 and moved to General Availability (GA) in September 2025. The Query Agent supported natural language queries across multiple collections and included multi-collection routing, intelligent query expansion, decomposition for complex questions, user-defined filters, and reranking for results; early adopters reported 3x reductions in debugging time for Retrieval Augmented Generation (RAG) pipelines and agentic apps.

The repository was organized into two core sections. The /skills/weaviate directory contained granular scripts for cluster management, schema inspection, collection creation, metadata retrieval, imports from CSV, JSON, or JSONL, example data generation, agentic search via the Query Agent, and retrieval modes including hybrid, semantic, or keyword searches with alpha blending.

The /skills/weaviate-cookbooks folder provided end-to-end blueprints, including Query Agent chatbots with FastAPI backends and Next.js frontends; multimodal PDF RAG pipelines using ModernVBERT for multivector embeddings with Ollama or Qwen3-VL for generation; basic, advanced, and agentic RAG implementations with decomposition and reranking; and DSPy-optimized agents with custom tools and Persistent Memory (PMEM). The repository was compatible with coding agents such as Claude Code, Cursor, GitHub Copilot, VS Code, and the Gemini Command-Line Interface (CLI), and developers could install the skills with a single command and test on Weaviate Cloud Sandbox clusters that lasted 14 days.

“Weaviate Agent Skills bridges the gap between high-velocity AI coding and reliable infrastructure, letting developers build sophisticated AI systems without debugging agent hallucinations,” said Bob van Luijt.

Weaviate described plans to expand skills to include generative modules, tenancy isolation, and hybrid cloud deployments.

Press release, provided by Globe Newswire on behalf of Weaviate. Read the original.

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