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yogsoth-aiyogsoth-ai/knowledge-structuring/skills/question-generation/SKILL.md

question-generation

Skill2 starsChanged 6 months agoApache-2.0View on GitHub

SOP for generating research questions from promising gaps in the design space.

The file

We split this skill into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Write questions/<question-slug>.md with frontmatter (type: question)

    line 19
  2. Distinctive:

    Add edges: raises (gap → question), related_to (question → relevant dimensions)

    line 21

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

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