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drhayf
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tracking-module-patterns

Stores dated user profile entries for sports prediction tracking.

Updated Aug 27, 2026
Search Tags:#tracking#jsonb#pattern-detection#observer#data-history#cosmic-data#utc-timestamps
One-click install
npx skills add https://github.com/drhayf/GUTTERS --skill tracking-module-patterns
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tracking-module-patterns
Source: https://github.com/drhayf/GUTTERS/tree/main/.agent/skills/tracking-module-patterns
Command: npx skills add https://github.com/drhayf/GUTTERS --skill tracking-module-patterns

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Standardizes the way tracking modules store history to support the Observer module's pattern detection across Solar, Lunar, and Transit data streams.

Core Features & Use Cases

  • Inbound Data: ingest external cosmic data and update the user's profile state.
  • History Persistence: append entries to UserProfile.data['tracking_history'] with per-key tracking keys and UTC timestamps.
  • Integration: provide reusable BaseTrackingModule patterns to ensure deterministic behavior and easy reuse.
  • Gotchas: ensure UTC timestamps, pass the DB session to helpers, and prune history to prevent JSONB bloat.

Quick Start

Integrate a tracking module by updating the user profile state and appending timestamped entries to the tracking_history.

Frequently Asked Questions about tracking-module-patterns

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I standardize tracking history storage for pattern detection in user profiles?▼

Standardize tracking history by appending entries to UserProfile.data['tracking_history'] using per-key tracking entries and UTC timestamps, ensuring deterministic behavior for pattern detection analysis.

What is the best way to store cosmic data history in a JSONB profile structure?▼

Storing cosmic data history requires a standardized JSON structure under tracking_history with UTC timestamps and per-key tracking entries, preventing JSONB bloat through regular history pruning.

How does the BaseTrackingModule pattern support Solar, Lunar, and Transit data streams?▼

BaseTrackingModule implementations provide reusable patterns that ingest external cosmic data, update user profile state, and append timestamped entries consistently across Solar, Lunar, and Transit data streams.

Do I need to pass a database session when appending tracking history entries?▼

Yes, passing the DB session to tracking helpers is required when appending entries to tracking history, ensuring proper transactional persistence of cosmic data updates to the user profile.

Why does my tracking history JSONB column bloat when storing pattern detection data?▼

JSONB bloat occurs when tracking history entries accumulate without pruning, so you must regularly prune history entries in the tracking_history structure to prevent excessive database storage consumption.

Can I use UTC timestamps for consistent cosmic data pattern analysis across modules?▼

Yes, UTC timestamps are required for tracking history entries to ensure consistent pattern detection and analysis across Solar, Lunar, and Transit data modules within the Observer system.

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