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personal-agent-skills

Tests License Python Dependencies Coverage

Sovereign Personal Agent Master Orchestrator for the OpenClaw / GenPark ecosystem. Built to liberate users from prompt fatigue, notification anxiety, and manual calendar juggling through zero-dependency mathematical modeling, circadian rhythm alignment, and ambient intent fusion.

flowchart TD
    subgraph AmbientInputs [Ambient Multi-Modal Sensing]
        A1[HRV & Physiological Readiness DFA-alpha1]
        A2[Screen Active Context & Typing Rhythm]
        A3[Calendar Proximity & Meeting Deadlines]
        A4[Inbound Notifications & Urgency Stream]
    end

    subgraph PersonalAgentKernel [Personal Agent Sovereign Kernel]
        K1[Circadian Energy Curve Modeler]
        K2[Ambient Focus State & Flow Classifier]
        K3[Proactive Intervention Utility Arbiter]
    end

    subgraph AutonomousOutcomes [Proactive Interventions]
        O1[Optimal Cognitive Workload Scheduling]
        O2[Silent Do-Not-Disturb Flow Protection]
        O3[Contextual Pre-Meeting Briefing]
        O4[Zero-Interruption Notification Drawer]
    end

    AmbientInputs --> PersonalAgentKernel
    PersonalAgentKernel --> AutonomousOutcomes

Distinctive Personal Agent Pillars

  1. Circadian Energy Awareness: Matches heavy cognitive tasks to physiological peak focus windows ($E(h) = R \cdot \exp(-((h - \mu)/\sigma)^2)$) rather than naive calendar packing.

  2. Ambient Zero-Prompt Ingress: Passively deduces user flow state from typing cadence, screen activity, and meeting proximity without demanding manual prompts.

  3. Utility-Gated Interruption Policy: Mathematically computes net interruption utility ($U = ext{Importance} - c \cdot ext{Focus}$), preventing distraction unless urgent.

  4. Local-First & Sovereign: 100% pure Python standard library. Zero third-party trackers, zero external telemetry leaks.

Related MCP server: genpark-today-ai-proactive-daily-agenda-synthesizer-skill

Curated Personal Agent Skills in the Ecosystem

Skill Repository

Core Personal Capability

genpark-personal-agent-dynamic-hrv-dfa-alpha1-intensity-fractal-skill

Real-time autonomic nervous system fatigue and DFA $\alpha_1$ aerobic-anaerobic threshold detection.

genpark-screen-zero-ambient-intent-scorer-skill

Zero-click glance surface intent recognition on lockscreens and ambient displays.

genpark-screen-context

Native desktop/mobile screen context OCR, UI element bounding, and active window state.

openclaw-genpark-memory-vault

Episodic personal memory vault using ACT-R spreading activation decay.

openclaw-genpark-inbox-liquidator

Automated personal inbox triage via Eisenhower matrix and auto-drafting.

genpark-meeting-to-tickets

Converts spoken personal notes and meetings into structured Linear/Jira tasks.

genpark-student-space

Spaced-repetition lifelong learning optimizer powered by SuperMemo SM-2.

genpark-phone-agent

Personal inbound call screening, IVR navigation, and automated appointment setting.

openclaw-genpark-receipt-ledger

Personal tax deduction tracking, receipt ledgering, and multi-currency expense reconciliation.

genpark-a2a-dating

Sovereign Agent-to-Agent preference alignment using the Gale-Shapley stable matching algorithm.

Quickstart

from client import PersonalAgentOrchestrator

orchestrator = PersonalAgentOrchestrator()
tasks = [{"id": "t1", "title": "System Architecture Deep-Dive", "cognitive_load": 0.95}]
res = orchestrator.schedule_circadian_focus_blocks(tasks, circadian_peak_hour=10.5, current_hrv_readiness=0.90)

print("Scheduled Slot:", res["schedule"][0]["scheduled_slot"])
print("Average Cognitive Fit:", res["average_cognitive_fit"])

FastMCP Integration

python -m personal-agent-skills.mcp_server

License

MIT

Related MCP Connectors

Related MCP Servers

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