state

Model current domain state with entities, relationships, and evidence anchors.

4|1|Updated Jan 24, 2026
One-click install
npx skills add https://github.com/synaptiai/agent-capability-standard --skill state-synaptiai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: state
Source: https://github.com/synaptiai/agent-capability-standard/tree/main/skills/state
Command: npx skills add https://github.com/synaptiai/agent-capability-standard --skill state-synaptiai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Create a structured representation of the current state of a domain, enabling tracking of entities, relationships, and properties over time, with explicit provenance and uncertainty.

Core Features & Use Cases

  • Structured world-state objects that can be queried and versioned.
  • Grounding via evidence anchors to ensure claims are auditable.
  • Supports schema alignment and depth control for domain modeling and diagnostics.

Quick Start

Create a grounded, structured snapshot of the current domain state for a given scope.

Frequently Asked Questions about state

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

FAQPage Schema
How do I build a queryable world-state model with entity relationships and provenance?

Build a queryable world-state model by capturing a structured snapshot of domain entities and relationships, enforcing a canonical schema with explicit timestamps and anchor-based evidence for auditable provenance.

What is a world-state model and when do I need provenance tracking?

A world-state model is a structured representation of current domain conditions. You need provenance tracking when auditing claims, handling uncertainty, or requiring versioned baselines for system monitoring and domain modeling.

How do I track entity relationships and properties over time with uncertainty handling?

Track entity relationships and properties over time by applying a canonical world_state schema that enforces explicit timestamps and anchor-based evidence, enabling structured versioning alongside uncertainty handling.

Does this domain modeling approach support schema alignment and depth control for diagnostics?

Yes, the domain modeling approach supports schema alignment and depth control, allowing you to create grounded, structured snapshots tailored for diagnostics and system monitoring with auditable baselines.

What's the best way to create an auditable baseline snapshot for system monitoring?

Create an auditable baseline snapshot by grounding domain state claims with evidence anchors, enforcing a canonical world_state schema with explicit timestamps to ensure every captured entity relationship is queryable and verifiable.

Can I use world-state modeling for world-building tasks that require versioned baselines?

Yes, you can use world-state modeling for world-building tasks by capturing structured world-state objects that can be queried and versioned, applying a canonical schema with explicit timestamps and anchor-based evidence.