SOP for generating research questions from promising gaps in the design
Scanned 9/5/2026
Install to Claude Code
npx -y skills add yogsoth-ai/de-anthropocentric-research-engine --skill question-generation --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: question-generation
description: SOP for generating research questions from promising gaps in the design
space.
execution: sop
---
# Question Generation
Generate actionable research questions from high-scoring gaps in the design space.
## Tool
CC file write + `vault_add_edge`
## Protocol
1. For each priority gap, formulate a research question: "What happens when we combine X with Y?"
2. Write `questions/<question-slug>.md` with frontmatter (type: question)
3. Body: the question, why it's interesting, what we'd need to answer it
4. Add edges: raises (gap → question), related_to (question → relevant dimensions)
5. **Inline wikilinks:** For each edge created, ensure the question page body contains `[[dir/slug]]` pointing to the target (dir/slug = target path minus `.md`). Place inline at semantically relevant location. Skip if already present.
## HARD-GATE
<HARD-GATE>
Questions must be specific and answerable, not vague. "How does X work?" is too broad.
"What is the effect of combining local attention with graph-based routing?" is specific.
</HARD-GATE>
## Yield
Returns: `{ questions_created: number, paths: string[] }`
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