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/haystack-pipeline

Haystack NLP pipeline configuration for document processing and QA

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babysitter
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$ npx -y skills add a5c-ai/babysitter --skill haystack-pipeline --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/haystack-pipeline

Context preview

The summary Claude sees to decide when to auto-load this skill.

Haystack NLP pipeline configuration for document processing and QA

SKILL.md

haystack-pipeline.SKILL.md
name: haystack-pipeline
description: Haystack NLP pipeline configuration for document processing and QA
allowed-tools:
  - Read
  - Write
  - Edit
  - Bash
  - Glob
  - Grep
graph:
  domains: [domain:software-engineering]
  specializations: [specialization:ai-agents-conversational]
  skillAreas: [skill-area:retrieval-augmented-generation, skill-area:natural-language-processing]
  roles: [role:ml-engineer, role:backend-engineer]
  workflows: [workflow:ml-model-lifecycle, workflow:feature-development]

Haystack Pipeline Skill

Capabilities

  • Configure Haystack pipeline components
  • Set up document stores and retrievers
  • Implement reader/generator models
  • Design custom pipeline graphs
  • Configure preprocessing pipelines
  • Implement evaluation pipelines

Target Processes

  • rag-pipeline-implementation
  • intent-classification-system

Implementation Details

Core Components

1. **DocumentStores**: Elasticsearch, Weaviate, FAISS, etc. 2. **Retrievers**: BM25, Dense, Hybrid 3. **Readers/Generators**: Extractive and generative QA 4. **Preprocessors**: Document cleaning and splitting

Pipeline Types

  • Retrieval pipelines
  • RAG pipelines
  • Evaluation pipelines
  • Indexing pipelines

Configuration Options

  • Component selection
  • Pipeline graph design
  • Document store backend
  • Model selection
  • Preprocessing settings

Best Practices

  • Modular pipeline design
  • Proper preprocessing
  • Evaluation integration
  • Component versioning

Dependencies

  • haystack-ai
  • farm-haystack (legacy)
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