This skill should be used when the user asks to "model agent mental states", "implement BDI architecture", "create belief-desire-intention models", "transform RDF to beliefs", "build cognitive agent", or mentions BDI ontology, mental state modeling, rational agency, or neuro-symbolic AI integration.
SkillScore95Maintained
Automatic
◆AI Engineer pack
Last verified 8/19/2026
What it changes
Passed 19 of 20 test cases with the skill, and 5 of 20 without it.
Without skill23%
With skill95%
Checks it passed that the model alone missed
Uses bdi:addresses to link plans to goals.
Uses bdi:Belief to represent belief states.
Uses bdi:addresses to connect a plan to a goal.
and 26 more in the full report
16 fixed5 passed either way1 still failing0 broke
Pass-rate lift
+73 pp
Tokens
+77%
Agent turns
0%
Response time
-28%
Model gemini-3.6-flashMeasured 8/19/2026v121 of 22 cases passed with skill · 20 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 14
Prompt
In Turtle RDF, an agent forms an intention to complete a maintenance task based on an existing desire. Which specific ontology property connects the intention back to the desire it satisfies?
What was checked, without and with the skill
Checked
Without skill
With skill
Uses bdi:fulfils to link an intention to its target desire.
Missed
Passed
case-13 · gemini-3.6-flash · 8/19/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md289 linessingle file
BDI Mental State Modeling
Transform external RDF context into agent mental states (beliefs, desires, intentions) using formal BDI ontology patterns. This skill enables agents to reason about context through cognitive architecture, supporting deliberative reasoning, explainability, and semantic interoperability within multi-agent systems.
When to Activate
Activate this skill when:
Processing external RDF context into agent beliefs about world states
Modeling rational agency with perception, deliberation, and action cycles
Enabling explainability through traceable reasoning chains
Implementing BDI frameworks (SEMAS, JADE, JADEX)
Augmenting LLMs with formal cognitive structures (Logic Augmented Generation)
Coordinating mental states across multi-agent platforms
Tracking temporal evolution of beliefs, desires, and intentions
Linking motivational states to action plans
Core Concepts
Mental Reality Architecture
Mental States (Endurants): Persistent cognitive attributes
Belief: What the agent believes to be true about the world
Desire: What the agent wishes to bring about
Intention: What the agent commits to achieving
Mental Processes (Perdurants): Events that modify mental states
BeliefProcess: Forming/updating beliefs from perception
DesireProcess: Generating desires from beliefs
IntentionProcess: Committing to desires as actionable intentions
Cognitive Chain Pattern
:Belief_store_open a bdi:Belief ;
rdfs:comment "Store is open" ;
bdi:motivates :Desire_buy_groceries .
:Desire_buy_groceries a bdi:Desire ;
rdfs:comment "I desire to buy groceries" ;
bdi:isMotivatedBy :Belief_store_open .