Temporal Reasoning Analyzer

The problem

LLMs often struggle with chronological ordering, relative date resolution, and identifying subtle contradictions in messy, multi-source event logs. Without a structured temporal framework, agents hallucinate dates or miss impossible sequences in project schedules and incident reports.

What it does

• Reconstructs rigorous timelines from natural language stories, logs, and meeting notes.
• Normalizes relative expressions like "two weeks later" or "last Monday" into anchored dates.
• Detects impossible temporal constraints, such as deadlines occurring before prerequisites.
• Tracks entity state changes over time to identify unexplained gaps or transitions.
• Solves complex temporal logic puzzles by building constraint graphs and eliminating impossible orderings.

Why this beats prompting it yourself

Standard prompts often fail to distinguish between explicit facts and inferred relationships, leading to chronological drift. This skill enforces a "timeline-first" architecture that surfaces contradictions rather than silently choosing a side, ensuring audit-level accuracy for incident forensics and project planning.

Use cases

• Reconciling conflicting incident logs from multiple servers to find the root cause.
• Auditing project schedules to identify blocked tasks and high-risk deadlines.
• Solving temporal logic puzzles and sequence-based reasoning tests.
• Tracking account lifecycle changes and subscription states across fragmented CRM notes.

Known limitations

Requires a reference date to resolve relative terms like "today." Cannot calculate exact durations from approximate timestamps without labeling them as estimates.