Official agent skill

Weaviate Cookbooks

by weaviate in weaviate/agent-skills

A skill your agent uses when the user wants to build AI applications with Weaviate.

OfficialBSD-3-ClauseAuto-check passedAI & LLM Engineering

Install Weaviate Cookbooks

skills CLI
$ npx skills add weaviate/agent-skills --skill weaviate-cookbooks -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install weaviate/agent-skills weaviate-cookbooks --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/weaviate/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/weaviate-cookbooks .claude/skills/weaviate-cookbooks && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
weaviate-cookbooks
GitHub stars
104
Token cost
~797 tokens
SKILL.md length
299 words
Files
12 (incl. references)
Skills in repo
2
Repo updated
First seen
Licence
BSD-3-Clause

At a glance

A skill your agent uses when the user wants to build AI applications with Weaviate.

  • The user wants to build AI applications with Weaviate
  • SKILL.md covers Overview, Before Building Any Cookbook, Cookbook Index and Interface (Optional), plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Retrieval-augmented generation

What it does

Weaviate Cookbooks is an agent skill from weaviate/agent-skills, published by the product's own GitHub organization. Use this skill when the user wants to build AI applications with Weaviate. It contains a high-level index of architectural patterns, 'one-shot' blueprints, and best practices for common use cases. Currently, it includes references for building a Query Agent Chatbot, Data Explorer, Multimodal PDF RAG (Document Search), Basic RAG, Advanced RAG, Basic Agent, Agentic RAG, and optional guidance on how to build a frontend for each of them.

Its SKILL.md is about 800 tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including reference files (for example `references/advanced_rag.md`, `references/agentic_rag.md` and `references/async_client.md`).

It sits in AI & LLM Engineering, covering Retrieval-augmented generation. It works with Weaviate. The repository describes itself as: Agent Skills to empower developers building AI applications with Weaviate. The licence is BSD-3-Clause.

When your agent uses it

  • The user wants to build AI applications with Weaviate
  • Tasks that involve Retrieval-augmented generation

Example prompts

  • “one-shot”
  • “/weaviate-cookbooks”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit af939ec. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • console.weaviate.cloud

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Weaviate Cookbooks loads about 797 tokens when it runs, and up to ~26k if it reads all its reference files. Until then it costs about 114 tokens; SKILL.md has 299 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~114
When it runs · the whole SKILL.md, loaded when a task matches
~797
With references · SKILL.md plus every file in references/, read only if the agent opens them
~26k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from weaviate/agent-skills at commit af939ec, republished under its BSD-3-Clause licence (© weaviate). 299 words, ~797 tokens.

Download SKILL.mdSave it as .claude/skills/weaviate-cookbooks/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.
name
weaviate-cookbooks
description
Use this skill when the user wants to build AI applications with Weaviate. It contains a high-level index of architectural patterns, 'one-shot' blueprints, and best practices for common use cases. Currently, it includes references for building a Query Agent Chatbot, Data Explorer, Multimodal PDF RAG (Document Search), Basic RAG, Advanced RAG, Basic Agent, Agentic RAG, and optional guidance on how to build a frontend for each of them.

Weaviate Cookbooks

Overview

This skill provides an index of implementation guides and foundational requirements for building Weaviate-powered AI applications. Use the references to quickly scaffold full-stack applications with best practices for connection management, environment setup, and application architecture.

Weaviate Cloud Instance

If the user does not have an instance yet, direct them to the cloud console to register and create a free sandbox. Create a Weaviate instance via Weaviate Cloud.

Before Building Any Cookbook

Follow these shared guidelines before generating any cookbook app:

Then proceed to the specific cookbook reference below.

Cookbook Index

  • Query Agent Chatbot: Build a full-stack chatbot using Weaviate Query Agent with streaming and chat history support.
  • Data Explorer: Build a full-stack data explorer app including sorting, keyword search and tabular view of weaviate data.
  • Multimodal RAG: Building Document Search: Build a multimodal Retrieval-Augmented Generation (RAG) system using Weaviate Embeddings (ModernVBERT/colmodernvbert) and Ollama with Qwen3-VL for generation.
  • Basic RAG: Implement basic retrieval and generation with Weaviate. Useful for most forms of data retrieval from a Weaviate collection.
  • Advanced RAG: Improve on basic RAG by adding extra features such as re-ranking, query decomposition, query re-writing, LLM filter selection.
  • Basic Agent: Build a tool-calling AI agent with structured outputs using DSPy. Covers AgentResponse signatures, RouterAgent, tool design, and sequential multi-step loops.
  • Agentic RAG: Build RAG-powered AI agents with Weaviate. Covers naive RAG tools, hierarchical RAG with LLM-created filters, vector DB memory, Weaviate Query Agent, and Elysia integration.

Interface (Optional)

Use this when the user explicitly asks for a frontend for their Weaviate backend.

Client Usage

  • Async Client: Guide for using the Weaviate Python async client in production applications (FastAPI, async frameworks). Covers connection patterns, lifecycle management, common pitfalls, and multi-cluster setups.

© weaviate, BSD-3-Clause. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 11 other files (references) in skills/weaviate-cookbooks of weaviate/agent-skills.

  • SKILL.md
  • references/advanced_rag.md
  • references/agentic_rag.md
  • references/async_client.md
  • references/basic_agent.md
  • references/basic_rag.md
  • references/data_explorer.md
  • references/environment_requirements.md
  • references/frontend_interface.md
  • references/pdf_multimodal_rag.md
  • references/project_setup.md
  • references/query_agent_chatbot.md

Open the folder on GitHubat commit af939ec

Compare with similar skills

Weaviate Cookbooks next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Weaviate Cookbooks compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Weaviate Cookbooks this skillweaviate/agent-skills104—~797Automated safety check: PassBSD-3-Clause
RAG Implementationwshobson/agents40k9 repos~1.1kAutomated safety check: PassMIT
RAG ArchitectJeffallan/claude-skills12k—~2kAutomated safety check: PassMIT
Hunt RAG Vectorelementalsouls/Claude-BugHunter4.8k—~2.6kAutomated safety check: PassMIT
Weaviate Cookbookssickn33/agentic-awesome-skills47k1 repos~1kAutomated safety check: PassBSD-3-Clause
Agentsop Multi Tenant RAGagentsope/SkillAlchemy436—~9.8kAutomated safety check: PassMIT

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  • Weaviate Cookbooks

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Works with

Questions about Weaviate Cookbooks

What does Weaviate Cookbooks do?

A skill your agent uses when the user wants to build AI applications with Weaviate. Weaviate Cookbooks is an agent skill from weaviate/agent-skills, published by the product's own GitHub organization. Use this skill when the user wants to build AI applications with Weaviate.

When should I use Weaviate Cookbooks?

Weaviate Cookbooks fits situations like: the user wants to build AI applications with Weaviate; tasks that involve Retrieval-augmented generation.

How do I install Weaviate Cookbooks in Claude Code?

Run `npx skills add weaviate/agent-skills --skill weaviate-cookbooks -a claude-code`. Or copy the skill folder (skills/weaviate-cookbooks in weaviate/agent-skills) into .claude/skills/weaviate-cookbooks in your project. Claude Code loads it when a task matches its description.

How do I install Weaviate Cookbooks in Codex?

Run `npx skills add weaviate/agent-skills --skill weaviate-cookbooks -a codex`. Or copy the skill folder (skills/weaviate-cookbooks in weaviate/agent-skills) into .agents/skills/weaviate-cookbooks in your project. Codex loads it when a task matches its description.

Can I use Weaviate Cookbooks in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add weaviate/agent-skills --skill weaviate-cookbooks -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/weaviate-cookbooks, .gemini/skills/weaviate-cookbooks, .github/skills/weaviate-cookbooks and .opencode/skills/weaviate-cookbooks in your project.

What does Weaviate Cookbooks need to run?

SKILL.md names no scripts, command-line tools or credentials: Weaviate Cookbooks is instructions for the agent only. Our summary lists: Python 3.

Does Weaviate Cookbooks access the network?

SKILL.md names 1 domain. As links in the text: console.weaviate.cloud. This is read from the text; nothing was executed.

Is Weaviate Cookbooks safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Weaviate Cookbooks use?

Weaviate Cookbooks is published under the BSD-3-Clause licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Weaviate Cookbooks use?

About 797 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 26k tokens, read only when the agent opens those files.

What are the alternatives to Weaviate Cookbooks?

Skills that share tags, products or a category with Weaviate Cookbooks: RAG Implementation (wshobson/agents, 40k stars), RAG Architect (Jeffallan/claude-skills, 12k stars), Hunt RAG Vector (elementalsouls/Claude-BugHunter, 4.8k stars) and Weaviate Cookbooks (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Weaviate Cookbooks?

weaviate (a GitHub organization, an official publisher) maintains it in weaviate/agent-skills, which has 104 GitHub stars. The repository holds 2 skills in this directory. The repository was last updated on October 6, 2026.

Source: weaviate/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.