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f0909172434f0909172434/rigorgraph/skills/research-intake/SKILL.md

research-intake

Skill1 starsChanged 4 months agoMITView on GitHub

Formalize a new technical or academic research question in a RigorGraph project while separating goals, assumptions, evidence, and open gaps. Use when starting research, clarifying an ambiguous question, or defining completion criteria before proof, experiments, or literature work.

The file

We split this skill into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈2

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

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

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

    Read rigorgraph.yaml and existing .rigorgraph/ records when present.

    line 8
  2. Very specific:

    If a later CI or experiment run will produce a RigorGraph Evidence Bundle, record the expected scope and producer as a plan only.

    line 12
  3. Distinctive:

    Use these localized headings:

    line 17
  4. Distinctive:

    Never present model consensus, a finite scan, or an unverified citation as a verified result.

    line 27

≈ “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

Research intake

  1. Read rigorgraph.yaml and existing .rigorgraph/ records when present.
  2. Determine the user's language from the explicit request, project language, or system language. Reply in that language: English, Traditional Chinese, Simplified Chinese, or Japanese.
  3. Clarify the domain, variables, quantifiers, assumptions, target claim type, allowed evidence, constraints, and completion test. Ask only for material missing information.
  4. Separate established facts, user assumptions, proposed claims, and open gaps. Do not attempt a proof or literature conclusion during intake.
  5. If a later CI or experiment run will produce a RigorGraph Evidence Bundle, record the expected scope and producer as a plan only. Do not fabricate the bundle, digest, provenance, or successful result during intake.
  6. Preserve mathematical notation and quoted source text exactly; never translate user-authored claims unless asked.
  7. Initialize the project with rigorgraph init if needed. Record candidate claims only as DRAFT or PROPOSED through rigorgraph claim add.
  8. End with the formalized question, assumptions, completion criteria, open gaps, and the safest next step.

Use these localized headings:

enzh-TWzh-CNja
Research question研究問題研究问题研究課題
Assumptions假設假设仮定
Completion criteria完成標準完成标准完了基準
Open gaps未解缺口未解缺口未解決のギャップ
Next safe step下一個安全步驟下一步安全操作次の安全な手順

Never present model consensus, a finite scan, or an unverified citation as a verified result.

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