abhisheksharma-17/haystack
skills/haystack/SKILL.md
AI orchestration framework for building production-ready RAG applications, autonomous agents, and multimodal search systems. MANDATORY TRIGGERS: haystack, deepset, haystack-ai, haystack pipeline, haystack agent. Also trigger when the user wants to build RAG pipelines with modular components, create tool-calling agents with Haystack, orchestrate retrieval-augmented generation, build semantic search systems, or evaluate LLM pipelines. When in doubt about whether to use this skill for RAG orchestration or AI pipeline tasks, use it.
$ install --global
skillsauthnpx skillsauth add abhisheksharma-17/skills-graph haystackInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- haystack
- description:
- AI orchestration framework for building production-ready RAG applications, autonomous agents, and multimodal search systems. MANDATORY TRIGGERS: haystack, deepset, haystack-ai, haystack pipeline, haystack agent. Also trigger when the user wants to build RAG pipelines with modular components, create tool-calling agents with Haystack, orchestrate retrieval-augmented generation, build semantic search systems, or evaluate LLM pipelines. When in doubt about whether to use this skill for RAG orchestration or AI pipeline tasks, use it.
- license:
- MIT
- version:
- 1.0.0
- author:
- Abhishek Sharma
- tags:
- ["ai", "rag", "agents", "llm", "pipelines", "search", "retrieval", "orchestration", "deepset"]
Haystack
Source: docs.haystack.deepset.ai | Version tracked: 2.30.0 |
pip install haystack-ai
Reference Files
| File | Read When |
|------|-----------|
| references/00-overview.md | Starting with Haystack, understanding architecture, installation |
| references/01-components.md | Creating custom components, understanding the component API |
| references/02-pipelines.md | Building pipelines, connecting components, branching, loops, async |
| references/03-agents.md | Building tool-calling agents, state management, multi-agent systems |
| references/04-tools.md | Defining tools, @tool decorator, ComponentTool, MCPTool, Toolset |
| references/05-generators.md | Configuring LLM generators, supported providers, streaming |
| references/06-retrievers.md | Retrieval strategies: BM25, embedding, hybrid, multi-query |
| references/07-document-stores.md | Choosing and configuring document stores, DuplicatePolicy |
| references/08-embedders.md | Text and document embedding, choosing embedders |
| references/09-converters-preprocessors.md | Converting files, splitting and cleaning documents |
| references/10-prompt-building.md | PromptBuilder, ChatPromptBuilder, Jinja2 templates, routers |
| references/11-rag-patterns.md | Building RAG applications end-to-end, indexing and retrieval |
| references/12-evaluation.md | Evaluating pipelines, metrics, model-based and statistical |
Installation
pip install haystack-ai
Quick Reference
- Docs | GitHub | PyPI | Tutorials
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