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sample-badgers
Guidance on deploying a generative AI document analysis with Amazon Bedrock AgentCore. Auto-classifies, enhances, and aggregates multi-type documents using Gestalt-informed vision prompts. Custom analyzer creation wizard. Scripted CDK deployment. Gradio frontend included.
14stars
0forks
Python
agentcoreagentcore-sdkagentic-aiagentic-workflowamazon-novabadgerscdkclaudecomposable-promptsdocument-extractiondocument-intelligencedocument-vision
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest aws-samples/sample-badgersAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx sample-badgers
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"sample-badgers": {
"command": "uvx",
"args": [
"sample-badgers"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
sample-badgers — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt