JC-OS v3 Unified Dashboard

A practical personal operating system that merges Jira work, Gmail action items, family/admin tasks, projects, and quick-capture notes into one daily command center.

What this repo includes

• Jira ingestion starter scripts
• Gmail action item CSV intake
• Manual capture intake
• Master task normalization into a shared JSON schema
• Daily summary generator
• Simple HTML dashboard renderer
• Prompt library for ChatGPT-assisted prioritization and updates

Repo layout

• data/ raw inputs
• outputs/ generated artifacts
• scripts/ Python utilities and pipelines
• dashboard/ static HTML dashboard
• prompts/ reusable ChatGPT prompts
• templates/ starter templates
• automation/ placeholders for schedulers and future integrations

Quick start

1. Create a Python virtual environment.
2. Install requirements:

   pip install -r requirements.txt

3. Populate sample or real data:
   • data/jira/issues.json
   • data/gmail/action_items.csv
   • data/capture/inbox.txt
4. Build the unified task list:

   python scripts/dashboard/build_master_tasks.py

5. Generate today's summary:

   python scripts/dashboard/generate_today.py

6. Render the dashboard:

   python scripts/dashboard/render_dashboard.py

7. Open dashboard/index.html in your browser.

Optional Jira setup

Set these environment variables before using Jira scripts:

• JIRA_URL
• JIRA_EMAIL
• JIRA_API_TOKEN
• JIRA_JQL (optional)
• JIRA_PROJECT_KEY (for ticket creation)

Unified task schema

All sources normalize into this structure:

{
  "id": "unique-id",
  "source": "jira|gmail|manual|legal|school|project",
  "category": "work|personal|family|legal|project",
  "title": "Short title",
  "details": "Longer description",
  "status": "new|active|blocked|waiting|done",
  "priority": "critical|high|medium|low",
  "due_date": "2026-03-18",
  "next_action": "Specific next step",
  "owner": "Jeremiah",
  "tags": ["jira", "vmware", "school"],
  "linked_item": "TM-1234",
  "notes": "Extra context"
}

Notes

This starter repo is designed to be practical first: Python + JSON/CSV + static HTML. You can later evolve it into Flask, React, or a SQLite-backed app.