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icml-intro-writer

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Revise ICML/NeurIPS/ICLR paper introductions to match oral-quality writing patterns. Use when writing or revising a machine learning paper introduction, when user mentions ICML/NeurIPS/ICLR paper writing, when user asks to improve introduction structure or flow, or when user wants to make introduction more compelling for top ML venues.

14 stars
1.2k downloads
Updated 1/15/2026

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SKILL.md

ICML Introduction Writer

Revise introductions to match patterns from ICML 2025 oral papers. Based on analysis of 10 accepted oral papers spanning theory, methods, benchmarks, and applications.

Revision Workflow

Step 1: Analyze Current Introduction

Read the introduction and identify:

  • Current opening strategy
  • How problem motivation is established
  • How gap is identified
  • How solution is previewed
  • How contributions are presented
  • Citation integration style

Step 2: Select Appropriate Patterns

Based on paper type, select patterns from references/patterns.md:

Paper TypeOpeningMotivationGap Style
New methodContrast or Challenge-firstApplications-basedTechnical barriers
BenchmarkHistorical progressionProxy-metric mismatchEmpirical demonstration
TheoryUniversal importanceResistance-basedComparative refinement
ApplicationCrisis-driven or SystemsMulti-stakeholderPractical limitations

Step 3: Apply Revision Checklist

Opening (Para 1)

  • Does NOT start with "In this paper, we..."
  • Establishes context before narrowing to problem
  • Uses one of 7 opening strategies

Motivation (Para 2-3)

  • Concrete applications or importance stated
  • Scale/urgency established
  • Citations support claims

Gap (Para 3-4)

  • Specific limitation, not vague "insufficient"
  • Prior work acknowledged before criticizing
  • Gap flows naturally to solution

Solution Preview (Para 4-5)

  • Method named clearly
  • Key insight or reframing stated
  • Scope clarified if needed

Contributions (Final Para)

  • Clearly signaled ("Our contributions are:")
  • Action verbs start each item
  • Quantified when possible
  • 3-4 items typical

Step 4: Polish Transitions

Use transition phrases from references/phrases.md:

  • Paragraph connections should flow logically
  • Avoid abrupt topic shifts
  • Use contrast phrases for gap identification
  • Use causal phrases for solution justification

Step 5: Verify Citation Integration

  • Definitions have citations
  • Limitations cite specific prior work
  • No orphan citation clusters at paragraph ends
  • Use "Following~\citet{}, we..." pattern when building on prior work

Quick Reference

Never Do

  • Open with "In this paper, we propose..."
  • Use vague gap: "existing methods are insufficient"
  • List contributions without action verbs
  • Cluster citations at paragraph ends without integration

Always Do

  • Establish context before narrowing
  • Acknowledge prior work before criticizing
  • Quantify improvements when available
  • Use hedging appropriately (may, suggests, indicates)

Sentence Length

  • Short sentences for key claims
  • Longer sentences for technical explanations
  • No run-on sentences

Resources

Install

Download ZIP
Requires askill CLI v1.0+

AI Quality Score

90/100Analyzed 2/20/2026

A highly structured and actionable guide for revising machine learning paper introductions. It provides specific workflows, checklists, and 'do's/don'ts' that are immediately useful for an LLM to critique or rewrite text. While it references external files for detailed patterns, the inline tables and checklists provide sufficient context for high-quality execution.

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Metadata

Licenseunknown
Version-
Updated1/15/2026
Publisherphamquiluan

Tags

github-actionsobservability