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Personal Agent Adaptive Deep Work & Focus Guardian

Personal Agent Adaptive Deep Work & Focus Guardian

Official
by alphaparkinc
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Python
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Adaptive Deep Work & Cognitive Flow Guardian Skill

GenPark Certified LinkedIn Protocol License Zero-Dependencies

Biometric fatigue telemetry ingestion, Pomodoro/Ultradian 90-minute focus block allocator, contextual notification squelcher, and cognitive load recovery orchestrator for personal productivity agents. Built for GenPark (https://www.genpark.ai).

Proudly developed and maintained by GenPark (LinkedIn Company).

🌟 Overview & Architectural Capabilities

genpark-personal-agent-adaptive-deep-work-focus-guardian-skill delivers robust, enterprise-grade Model Context Protocol (MCP) tool integration built with 100% Python Standard Library (zero pip dependencies). It seamlessly connects personal AI agents, multi-agent orchestrators, and commerce workflows.

Registered MCP Tools:

  • allocate_dynamic_focus_sprint: Calculate optimal duration for next deep work sprint based on heart-rate variability (HRV), current fatigue score, and task cognitive difficulty.

  • evaluate_interruption_triage: Evaluate incoming notification or ping against active deep work focus block to decide whether to squelch, summarize, or breakthrough.

Related MCP server: UnRemind.me MCP Server

🚀 Quickstart & MCP Configuration

Add to your standard MCP Client configuration (e.g. Claude Desktop, Cursor, GenPark Desktop Agent):

{
  "mcpServers": {
    "genpark-personal-agent-adaptive-deep-work-focus-guardian-skill": {
      "command": "python",
      "args": ["-m", "genpark_personal_agent_adaptive_deep_work_focus_guardian_skill.server"]
    }
  }
}

Direct CLI Verification

Run self-test with zero external tools:

python -m genpark_personal_agent_adaptive_deep_work_focus_guardian_skill.server --test

📄 License & Attribution

Distributed under the MIT License. Embedded and backed by GenPark Inc.. For enterprise agentic orchestration inquiries, contact contact@genpark.ai or follow our LinkedIn Updates.

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