skills.rest
Shakudo-io
Shakudo-ioOFFICIAL
Explore all skills by this author →
WebsiteGitHub

bdi-mental-states

Transform RDF world-state context into BDI mental states with justifications.

Updated Feb 14, 2026
Search Tags:#planning#ontology#cognition#rdf#mult-agent#bdi
One-click install
npx skills add https://github.com/Shakudo-io/opencode-skills --skill bdi-mental-states-shakudo-io
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: bdi-mental-states
Source: https://github.com/Shakudo-io/opencode-skills/tree/main/context-optimization/skills/bdi-mental-states
Command: npx skills add https://github.com/Shakudo-io/opencode-skills --skill bdi-mental-states-shakudo-io

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Transforms external RDF context into Belief-Desire-Intention mental states (beliefs, desires, intentions) to enable deliberation, explainability, and semantic interoperability in autonomous agents.

Core Features & Use Cases

  • Ontology-driven transformation: map world-state context to beliefs, generate desires from beliefs, and derive intentions that align with plans.
  • Justification and temporality: attach justifications and temporal validity to mental states for traceability and diachronic reasoning.
  • Multi-agent integration: coordinate mental states across agents and integrate with planning frameworks for coordinated action.

Quick Start

Provide an RDF WorldState context to the skill and request generation of BDI beliefs, desires, and intentions.

Frequently Asked Questions about bdi-mental-states

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

FAQPage Schema
How do I transform RDF context into BDI mental states for cognitive agents?▼

To transform RDF context into BDI mental states, you map external world-state definitions to beliefs, generate desires from those beliefs, and derive intentions that align with formal plans. This process enables cognitive agent reasoning and explainability.

What is the best way to model agent beliefs and intentions using an ontology?▼

Modeling agent beliefs and intentions requires grounding reasoning in a formal BDI ontology. You provide world-state definitions and justification mappings to validate that beliefs refer to world states and intentions align with executable plans.

Can I attach justifications and temporal validity to mental states for multi-agent deliberation?▼

Yes, you can attach justifications and temporal validity to mental states to support traceability and diachronic reasoning. This allows coordinated multi-agent deliberation across integrated planning frameworks.

Do I need BDI ontology files to generate desires from world-state context?▼

Yes, generating desires from world-state context requires BDI ontology files, world-state definitions, and justification mappings. Validation ensures beliefs accurately reference world states before desires are generated.

How does BDI cognition handle semantic interoperability for autonomous agents?▼

BDI cognition handles semantic interoperability by transforming external RDF context into structured beliefs, desires, and intentions. Grounding reasoning in a formal ontology enables autonomous agents to deliberate and coordinate actions effectively.

Related Skills

Explore More Software Engineering Skills→
Syedyasir001Syedyasir001

bdi-mental-states

Translate RDF triples into BDI beliefs for agent mental state reasoning.

Community
Advanced
phonowellphonowell
1

bdi-mental-states

Translate RDF context into BDI cognitive states using a formal ontology.

Community
Advanced
enigmaicon-engenigmaicon-eng
1

bdi-mental-states

Generate Belief-Desire-Intention mental state RDF from external RDF context.

Community
Advanced
lucasFR2lucasFR2

bdi-mental-states

Transforms RDF context into beliefs, desires, and intentions using formal BDI ontology patterns.

Community
Advanced