LLMSkillHub
mirroredCopied from nanoAgentTeam/research-claw under MIT. nanoAgentTeam has not claimed this page, and is not affiliated with LLM SkillHub.

nanoagentteam / ml-paper-writing

Use when writing or revising any ML/AI paper (conference or journal) to apply shared writing quality, citation verification, reviewer-aligned checks, and pre-submission gates.

0
SKILL.md
2.8 KB

[SKILL: ML PAPER COMMON WORKFLOW]

Activate when: user asks to write/revise/check any ML/AI paper, regardless of venue (conference or journal).

Purpose

This skill is the shared, venue-agnostic layer. Venue-specific skills should handle template/macros/page limits, while this skill handles writing quality, citation integrity, reviewer alignment, and submission checks.

Coverage Boundary

  • This skill covers common writing/citation/review SOP for both conferences and journals.
  • This skill does not provide journal-specific template setup (.cls/.sty/.bst, submission system steps, journal-only formatting policies).
  • For journals, pair this skill with the journal's official author guide or a journal-specific venue skill.

Required Reference Files

Use these references from references/ as the source of truth:

  1. writing-guide.md — paper narrative and section-level writing quality
  2. citation-workflow.md — verified citation workflow and hallucination prevention
  3. reviewer-guidelines.md — reviewer evaluation lenses and rebuttal-oriented checks
  4. checklists.md — mandatory checklist gates before submission

Execution Workflow

Step 1: Clarify Scope

  • Confirm paper type: conference or journal
  • Confirm current stage: first draft / revision / camera-ready
  • Confirm what is venue-specific vs common writing work

Step 2: Apply Writing Quality Workflow

  • Use writing-guide.md to enforce:

    • clear contribution framing
    • precise claims and evidence alignment
    • section-level coherence (abstract, intro, method, results, limitations)

Step 3: Apply Citation Integrity Workflow

  • Follow citation-workflow.md strictly
  • Never fabricate citations from memory
  • If citation cannot be verified, mark as explicit placeholder and report it

Step 4: Apply Reviewer Lens

  • Use reviewer-guidelines.md to evaluate:

    • technical soundness
    • novelty/significance
    • clarity and reproducibility
  • Add missing evidence/ablation/limitations where needed

Step 5: Run Submission Gates

  • Use checklists.md and complete all applicable items
  • If any required item is missing, block "ready to submit" status and list the gaps

Handoff Rule to Venue Skills

  • Venue skills own:

    • template selection and setup (.cls/.sty/.bst)
    • anonymization mode and page limits
    • venue-specific required sections and package restrictions
  • This skill owns common writing/citation/review/checklist quality gates.

Use both layers together: ml-paper-writing + target venue skill.