think-temporal

Structure temporal relationships among events with order, duration, and causation.

1|Updated Apr 13, 2026

Search Tags:#reasoning #temporal #causality #historical #timeline-analysis #event-sequencing #allen-relations

Ready to run

npx skills add https://github.com/danielsimonjr/deepthinking-plugin --skill think-temporal

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: think-temporal
Source: https://github.com/danielsimonjr/deepthinking-plugin/tree/main/skills/think-temporal
Command: npx skills add https://github.com/danielsimonjr/deepthinking-plugin --skill think-temporal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Time-aware reasoning methods help you reason about events and history by explicitly modeling temporal order, durations, and causal connections.

Core Features & Use Cases

Temporal reasoning: establish event sequences, durations, and interval relations.
Historical reasoning: evaluate precedents, source reliability, and patterns across episodes.
Use cases include incident timelines, process tracing, scheduling analysis, and evaluating historical precedents.

Quick Start

Analyze a set of events to determine their temporal order and potential causal relationships.

Frequently Asked Questions about think-temporal

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

FAQPage Schema

How do I analyze temporal relationships and causation among events with timestamps?▼

Temporal relationship analysis identifies and structures event order, duration, and causation by applying a formal model with timelines and interval relations. It returns a structured representation of causes, enables, and precedes relations suitable for downstream reasoning.

What is the best way to structure incident timelines with uncertain event durations?▼

Incident timeline analysis structures multiple events with timestamps, durations, and uncertainty by enforcing temporal constraints and Allen relations. This captures event sequencing and causal connections, returning a structured representation for process tracing and incident evaluation.

Can I use temporal reasoning for historical comparison and process tracing?▼

Yes, temporal reasoning evaluates historical precedents, source reliability, and patterns across episodes by establishing event sequences and interval relations. It applies formal temporal constraints to handle multiple events, enabling structured historical comparison and process tracing.

Does temporal reasoning handle event sequencing when timestamps are incomplete or uncertain?▼

Temporal reasoning handles uncertainty by applying a formal model that includes timelines, events with attributes, and temporal constraints. It structures interval relations like precedes and enables even when processing multiple events with uncertain durations and incomplete timestamps.

How do I model causal connections and precedents in event sequencing analysis?▼

Modeling causal connections in event sequencing uses a formal temporal model to define relations such as causes, enables, and precedes. It structures events with attributes and temporal constraints, returning a representation suitable for downstream reasoning and historical evaluation.