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Alpha-Park/genpark-personal-agent-adaptive-deep-work-focus-guardian-skill

Personal Agent Adaptive Deep Work & Focus Guardian. Schedules cognitive 90-minute ultradian focus blocks, triages incoming interruptions against contact priority thresholds, and captures execution che

⭐ 7 stars
⑂ 0 forks
Python
momentum ▲ 70.0
created 2026-10-18
on radar since 2026-10-19
cognitive-loaddeep-workflow-statefocus-guardiangenparkmodel-context-protocolpersonal-productivity
View on GitHub ↗Homepage ↗

About genpark-personal-agent-adaptive-deep-work-focus-guardian-skill

Adaptive Deep Work & Cognitive Flow Guardian Skill

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).

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: - allocatedynamicfocussprint: Calculate optimal duration for next deep work sprint based on heart-rate variability (HRV), current fatigue score, and task cognitive difficulty. - evaluateinterruptiontriage: Evaluate incoming notification or ping against active deep work focus block to decide whether to squelch, summarize, or breakthrough.

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

Direct CLI Verification Run self-test with zero external tools:

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.

From the project README.

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