context-llm-pipeline

Official

RAG pipelines and LLM orchestration.

Authorstars-end
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Core AI logic including RAG flows, LLM service orchestration, and vector retrieval to enable scalable AI-assisted workflows.

Core Features & Use Cases

  • Flows: Ingestion, scraping, and template review pipelines.
  • Services: Orchestrator, pipeline, and analyzer for LLM interactions.
  • Shared Packages: llm-common utilities for consistency.
  • Usage: Build end-to-end RAG pipelines with multiple data sources and vector stores.

Quick Start

Use this skill when building or debugging RAG workflows. For example, invoke ingestion_flow or scraping_flow to process new documents.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: context-llm-pipeline
Download link: https://github.com/stars-end/affordabot/archive/main.zip#context-llm-pipeline

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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