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Alpha-Park/genpark-enterprise-meeting-action-item-extractor-skill

Enterprise Multi-Speaker Meeting Action Item Extractor & WeChat Work Task Dispatcher. Analyzes conversational meeting transcripts from Tencent Meeting, Zoom, and Teams, extracts explicit commitments,

⭐ 7 stars
⑂ 0 forks
Python
momentum ▲ 11.7
created 2026-10-06
on radar since 2026-10-06
agentic-commercecontract-auditorinventory-optimizermcpmcp-servermeeting-assistantmodel-context-protocolmulti-agentprice-protectionshipment-trackingwork-agentzero-dependency
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About genpark-enterprise-meeting-action-item-extractor-skill

genpark-enterprise-meeting-action-item-extractor-skill

Enterprise Multi-Speaker Meeting Action Item Extractor & WeChat Work Task Dispatcher. Analyzes conversational meeting transcripts from Tencent Meeting, Zoom, and Teams, extracts explicit commitments, dates, and assignees, performs Eisenhower urgency-importance matrix prioritization, and formats collaborative task cards.

- 100% Zero External Dependencies: Runs entirely on the Python 3.9+ standard library. - Model Context Protocol (MCP) Standard: Native support for JSON-RPC 2.0 initialize, tools/list, and tools/call. - Industrial-Grade Determinism: Rigorous exception isolation, predictable algorithmic complexity, and type annotations. - Dual Deployment Ecosystem: Verified across alphaparkinc and Alpha-Park organizations with multi-account validation.

2. Run as Model Context Protocol (MCP) Server

Start standard JSON-RPC 2.0 server over stdio:

Inspect skill.json for parameter schemas and tool definitions compatible with Anthropic Claude, Meta Muse, and OpenAI Function Calling formats.

Licensed under the MIT License. Copyright © 2026 GenPark AI.

From the project README.

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