genpark-enterprise-slide-deck-narrative-compiler-skill
by Alpha-Park
README.md
# genpark-enterprise-slide-deck-narrative-compiler-skill
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[](https://www.python.org/)
[](LICENSE)
[](https://genpark.ai/mcp)
[](https://genpark.ai)
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<b>Production-Grade Agentic Commerce & Enterprise Work Agent Skill</b> • <b>100% Standard Library Python</b> • <b>Native Model Context Protocol (MCP)</b>
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[🌐 GenPark MCP Hub](https://genpark.ai/mcp) • [📦 GenPark Official](https://genpark.ai) • [📖 Documentation](#quickstart)
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---
## 🌟 Overview
`genpark-enterprise-slide-deck-narrative-compiler-skill` delivers robust, industrial-grade capabilities engineered for **Consumer Agentic Commerce** (e.g. Meta Muse, Expedia, Mastercard Agent Connect) and **Enterprise Workplace Execution** (e.g. Tencent WorkBuddy Goal-to-PPT/Excel deliverable workflows). Built exclusively on the Python standard library with zero external runtime dependencies, it integrates seamlessly as a native **Model Context Protocol (MCP)** server or an importable Python module.
Enterprise Presentation & Slide Deck Narrative Structure Compiler (inspired by Tencent WorkBuddy Goal-to-PPT Workflows). Transforms raw enterprise documents, meeting transcripts, and KPI metrics into structured executive slide decks with layout templates, card callouts, speaker notes, and timing budgets.
### 💡 Key Capabilities
- **Zero-Dependency Architecture**: Runs anywhere Python 3.9+ is installed without `pip install` overhead or supply-chain vulnerabilities.
- **Model Context Protocol (MCP) First**: Compatible with Claude Desktop, Cursor, GenPark Engine, Meta Muse, and enterprise managed agent runtimes.
- **Deterministic & Safe**: Rigorous state machine models, cryptographic ledger hashes, mathematical dependency graphs, and full telemetry.
- **High Concurrency & Low Latency**: In-memory caching, topological cycle detection, and optimized execution loops.
---
## 🚀 Quickstart
### 1. Direct Python Usage
```python
from client import EnterpriseSlideDeckNarrativeCompiler
client = EnterpriseSlideDeckNarrativeCompiler()
result = client.compile_deck_structure()
print(result)
```
### 2. Standalone MCP Server Execution
Run the MCP server via standard JSON-RPC 2.0 stdio:
```bash
python mcp_server.py
```
Verify standard compliance and self-tests:
```bash
python mcp_server.py --test
```
### 3. Claude Desktop / Cursor MCP Configuration
Add this tool to your `claude_desktop_config.json` or Cursor MCP settings:
```json
{
"mcpServers": {
"genpark-enterprise-slide-deck-narrative-compiler-skill": {
"command": "python",
"args": ["/absolute/path/to/genpark-enterprise-slide-deck-narrative-compiler-skill/mcp_server.py"]
}
}
}
```
---
## 🛠️ Verification & Testing
Run the included verification suite:
```bash
python example_usage.py
```
---
## 📄 License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
Developed with ❤️ by the **GenPark Autonomous Agent Ecosystem Team**.
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