sample-aws-idp-pipeline

aws-samples/sample-aws-idp-pipeline

End-to-end Intelligent Document Processing (IDP) pipeline using Amazon Bedrock, LanceDB, Lambda, Strands Agents, and Step Functions. Supports multimodal document analysis for PDFs, images, videos, and audio.

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TypeScript

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/aws-samples/sample-aws-idp-pipeline

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/aws-samples/sample-aws-idp-pipeline ~/.claude/skills/sample-aws-idp-pipeline

# Project-specific

git clone https://github.com/aws-samples/sample-aws-idp-pipeline .claude/skills/sample-aws-idp-pipeline

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/aws-samples/sample-aws-idp-pipeline"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/aws-samples/sample-aws-idp-pipeline

Option 2: Clone to extensions directory

git clone https://github.com/aws-samples/sample-aws-idp-pipeline ~/.gemini/extensions/sample-aws-idp-pipeline

Topics

agentcore bedrock idp intelligent-document-processing nova-sonic strands unstructured-data

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