Agent Skills: Novelty Matrix (overlap vs delta)

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UncategorizedID: willoscar/research-units-pipeline-skills/novelty-matrix

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pnpm dlx add-skill https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/HEAD/.codex/skills/novelty-matrix

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.codex/skills/novelty-matrix/SKILL.md

Skill Metadata

Name
novelty-matrix
Description
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Novelty Matrix (overlap vs delta)

Goal: make novelty/positioning concrete by aligning each contribution against the closest prior work.

Inputs

Required:

  • output/CLAIMS.md

Optional:

  • A provided list of related work (titles/URLs/DOIs) or the submission’s reference list

Outputs

  • output/NOVELTY_MATRIX.md

Output format (recommended)

  • Rows: contributions/claims (from output/CLAIMS.md)
  • Columns: closest related works (provided or cited by the paper)
  • For each row/column, record:
    • overlap: what is the same
    • delta: what is different/new
    • evidence: where this is supported (paper statement / citation / method difference)

Workflow

  1. Extract the contribution list from output/CLAIMS.md.
  2. Pick ≥5 closest related works (or state explicitly why you cannot).
  3. For each contribution, compare to each related work:
    • identify overlap
    • identify delta
    • attach evidence (quote/section/citation pointer)
  4. Summarize:
    • which contributions look clearly novel
    • which ones look like incremental variants

Definition of Done

  • [ ] Matrix includes ≥5 related works or explains why unavailable.
  • [ ] Every “delta” entry has a short evidence pointer (not just opinion).

Troubleshooting

Issue: no related works list is available

Fix:

  • Use the paper’s own citations as the initial related set; if even that is missing, mark needs_related_work_list and stop.

Issue: overlap/delta becomes vague

Fix:

  • Force each cell to reference a concrete axis (problem setting, method component, training data, evaluation protocol, result).