bdi-mental-states
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
More from flora131/atomic
research-codebase
Document codebase as-is with research directory for historical context
180explain-code
Explain code functionality in detail.
176prompt-engineer
Create, improve, or optimize prompts using best practices
170gh-create-pr
Commit unstaged changes, push changes, submit a pull request.
169gh-commit
Create well-formatted commits with conventional commit format.
168context-compression
This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding context limits. A core context engineering skill — also activates when the user mentions "context engineering" or "context-engineering" in the context of managing token budgets and session longevity.
168