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sundial-org

project-referee

by sundial-org

Claude Code Skills

138🍴 7📅 Jan 23, 2026

SKILL.md


name: project-referee description: Critiques ML conference papers with reviewer-style feedback. Use when users want to anticipate reviewer concerns, identify weaknesses, check claim-evidence gaps, or find missing citations.

Project Referee

Review Workflow

Step 1: Assess Manuscript Stage

Ask or determine the manuscript stage:

  • Early draft: Focus on novelty, feasibility, relevance, structure
  • Mid-stage draft: Focus on development trajectory, completeness, preliminary results
  • Final submission: Apply full review criteria (see references/reviewer-instructions.md)

Step 2: Stage-Specific Review

Early Draft Protocol:

  1. Assess core contribution novelty and significance
  2. Evaluate method feasibility with current technology
  3. Check alignment with venue scope
  4. Review logical structure and completeness
  5. Identify major missing components
  6. Suggest high-level direction

Mid-Stage Protocol:

  1. Evaluate development progress
  2. Check section completeness
  3. Assess preliminary results against claims
  4. Review literature coverage
  5. Identify specific weaknesses
  6. Provide targeted refinements

Final Submission Protocol: Apply complete review process. See references/reviewer-instructions.md for the full reviewer form.

Proactively search for missing citations:

  • Recent work in the paper's domain
  • Papers with similar methods or contributions
  • Relevant benchmarks and baselines
  • Use WebSearch to find recent publications

Step 4: Provide Structured Feedback

Use the output format in references/reviewer-instructions.md:

  • Summary, Strengths, Weaknesses, Questions
  • Soundness (1-4), Presentation (1-4), Contribution (1-4)
  • Overall Score (1-10), Confidence (1-5)

Neuro-Symbolic Papers

For papers combining LLMs with symbolic reasoning, see references/neuro-symbolic-review-criteria.md for additional criteria:

  • Symbolic formulation quality
  • Solver selection and integration
  • Faithfulness and verification
  • Comparison to baselines (Logic-LM, LINC)

References

Score

Total Score

55/100

Based on repository quality metrics

SKILL.md

SKILL.mdファイルが含まれている

+20
LICENSE

ライセンスが設定されている

0/10
説明文

100文字以上の説明がある

0/10
人気

GitHub Stars 100以上

+5
最近の活動

3ヶ月以内に更新がある

0/10
フォーク

10回以上フォークされている

0/5
Issue管理

オープンIssueが50未満

+5
言語

プログラミング言語が設定されている

+5
タグ

1つ以上のタグが設定されている

0/5

Reviews

💬

Reviews coming soon