| name | ask |
| description | Query the Ars Contexta research methodology. Answers 'why does my system do X?' with research-backed explanations from 249 interconnected claims. |
| tags | ["methodology","research","learning"] |
Skill: ask
Delegates to: @ars-contexta:knowledge-guide
Trigger
Invoke this skill when the user asks a "why" question about the system's design, wants to understand the research backing for a feature, or wants to explore the methodology behind a vault convention.
Behavior
Question Reception
Accept the user's question verbatim. Examples of well-suited questions:
- "Why are note titles written as prose sentences?"
- "Why does the system use a three-space folder structure?"
- "Why is atomicity a dimension rather than a fixed rule?"
- "Why does the system recommend against folders for organization?"
Methodology Search
Search the methodology knowledge base in this order:
ops/methodology/ — vault-local methodology notes, if present
- The plugin's bundled reference material (the 249-claim research corpus)
ops/derivation.md — for vault-specific rationale tied to this user's derivation
Trace the answer back to specific named claims or research traditions. Do not give generic knowledge-management advice — always anchor to the specific research the system is built on.
Answer Structure
Structure every answer in three parts:
The direct answer — one or two sentences stating what the system does and why.
The research backing — cite the specific cognitive science finding, network theory principle, or knowledge management tradition that justifies this design. Name the claim, researcher, or framework (e.g., "Claim 47: retrieval practice strengthens memory consolidation", "Luhmann's slip-box principle of forced articulation", "small-world network theory applied to knowledge graphs").
The practical implication — explain what breaks if this convention is ignored, so the user understands the cost of deviation rather than just being told to comply.
Uncertainty Handling
If the question cannot be traced to a specific research claim, say so explicitly. Do not fabricate citations. Instead, explain what is known and suggest where the user might find a more authoritative answer.
Follow-up
After answering, ask: "Would you like to see related methodology claims, or does this answer your question?"