temporal

Query semantic graphs as of specific dates and reconstruct historical states.

2.9k|348|Updated Jun 25, 2025
One-click install
npx skills add https://github.com/Hawksight-AI/semantica --skill temporal-hawksight-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: temporal
Source: https://github.com/Hawksight-AI/semantica/tree/main/plugins/skills/temporal
Command: npx skills add https://github.com/Hawksight-AI/semantica --skill temporal-hawksight-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires semantica, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill enables temporal analysis and reconstruction of semantic graphs, helping users understand how graph structures and attributes changed over time.

Core Features & Use Cases

  • Temporal Queries: Perform time-specific graph queries or retrieve nodes active at a specific date.
  • State Reconstruction: Rebuild the graph as it was at a given moment, facilitating historical audits.
  • Use Case: A user wants to investigate the evolution of a decision node or analyze changes in a knowledge graph over a project's lifetime.

Quick Start

Use the temporal skill to generate a snapshot of your knowledge graph at the specified date to review its state at that point.

Frequently Asked Questions about temporal

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

FAQPage Schema
How do I reconstruct a semantic graph state at a specific date for historical auditing?

To perform temporal queries on a knowledge graph, you retrieve nodes active at a specific date or query data as of a certain time to track the evolution of graph structures and attributes over a project's lifetime.

What is the best way to trace causal chains in a knowledge graph at historical points?

To visualize changes in a semantic graph over time, you use temporal analysis features that generate snapshots and perform time-specific queries, enabling you to review the graph's state at any given moment.

Do I need specific normalizers to process date expressions for temporal graph analysis?

Temporal analysis of semantic graphs requires the semantica dependency to facilitate time-based analysis, enabling snapshots, temporal queries, and causal chain tracing for historical audits and decision tracing.

Can I query data as of a certain time to investigate the evolution of a decision node?

Temporal graph analysis is limited by its need for specific normalizers and rewriters to process date expressions, meaning scenarios without proper date normalization cannot accurately reconstruct historical graph states.