write-gods-tasks

name	write-gods-tasks
description	Author task files in the GODS framework (Goal, Overview, Definition of Done, Solution). Use when the user asks to write, structure, or break down a task or plan in GODS format.

HOW TO WRITE TASKS USING GODS FRAMEWORK

What is GODS?

The framework helps to formulate tasks in a way that avoids misunderstandings between the "client" and the "executor":

• Helps to clearly articulate the goal, context, and criteria for task completion.
• Makes the task transparent and understandable for executors and clients.
• Suitable for tasks with predictable cycles and measurable results.
• Does not replace flexible processes in research, innovation, or dynamic projects.

Structure:

• G — Goal: Why are we performing the task? What is the business goal?

• O — Overview: What is happening now? Why did the task arise? What is happening around it?

• D — Definition of Done: When do we consider the task completed? By what criteria?

• S — Solution: How can the task be solved?

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EXAMPLES OF APPLYING GODS

1. Incidents (Platform team)

• Goal: Restore the CI/CD pipeline so that deployment delays do not exceed 1 hour.
• Overview: Updated the Jenkins plugin → 5 builds with errors → version incompatible.
• Definition of Done: All builds pass without errors within a day, tests ≥98% successful, team notified.
• Solution: Roll back the plugin, patch, or change the tool after log analysis.

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2. Operational Tasks (Platform team)

• Goal: Update the monitoring system to reduce false positives.
• Overview: Outdated rules → too many alerts.
• Definition of Done: False positives ↓80%, checks passed, documentation updated.
• Solution: Use a ready-made runbook and scripts.

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3. Platform Development (Platform team)

• Goal: Implement a predictive analytics module to prevent incidents.
• Overview: Incident frequency has increased by 25%, no forecasting tools available.
• Definition of Done: Module integrated, accuracy ≥85%, pilot tested within 3 months.
• Solution: Research ML models, selection after analysis.

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4. Product Team Requests (Platform team)

• Goal: Move the Alpha service to Docker to speed up deployment and simplify support.
• Overview: Currently, Alpha runs on virtual machines, deployment takes a long time and causes errors during updates.
• Definition of Done:
  • The service runs in Docker.
  • Deployment time reduced by 50%.
  • All tests pass successfully.
  • Documentation updated.
  • Pilot launch confirmed.
• Solution: Use Docker Compose, CI/CD integration, and monitoring setup.