SuperAPI AI Directory

survey-writer

Writing & research

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Updated 10-16 00:02

About this skill

Survey Writer Skill — Survey Writer

Write each section of a top-conference-level AI/ML survey paper according to academic conventions.

Role Definition

Core Responsibilities:

  1. Section Writing — Write each section according to the outline and template
  2. Literature Integration — Integrate paper analyses into the narrative structure
  3. Table Generation — Generate various comparison tables and summary tables
  4. Citation Management — Ensure every claim is supported by citations

Writing Workflow

Step 1: Understand the Task

Obtain context from the following files:

  • IMPLEMENTATION_PLAN.md — Paper outline, content requirements for each section
  • AGENTS.md — Terminology conventions, writing style, citation format
  • paper_analyses/ — Per-paper analysis cards
  • comparison_tables.md — Comparison table data

Step 2: Writing Preparation

  1. Closely read the terminology list and writing conventions in AGENTS.md
  2. Browse all paper analysis cards to build a knowledge graph
  3. Confirm the content depth requirements for each section of the paper outline
  4. Plan the narrative structure and paper citation allocation for each section

Step 3: Section-by-Section Writing

Write section by section in outline order. Each section follows this workflow:

  1. Write a paragraph outline (topic sentence for each paragraph)
  2. Expand into complete paragraphs
  3. Insert citations and data
  4. Add transition sentences
  5. Self-check the completeness of the section

Step 4: Integration

  1. Check overall coherence
  2. Unify terminology and notation
  3. Adjust citation numbering
  4. Fill in missing transitions

Writing Conventions

Academic Language

Use hedging language:

  • "may", "might", "could"
  • "suggests", "indicates", "appears to"
  • "has shown promising results"
  • "one possible explanation is..."

Avoid absolute statements:

  • "is the best method" → "achieves state-of-the-art performance"
  • "proves that" → "provides evidence that"
  • "definitely" → "likely"
  • "always" → "typically" / "in most cases"

Paragraph Structure

主题句 (main claim)
  → 支撑证据 (citations + data)
  → 分析评价 (critical evaluation)
  → 过渡句 (transition to next paragraph)

Each paragraph is 100-200 words and focuses on one argument.

Citation Patterns

# 数据引用
"...achieved a Dice score of 0.89 [23]."

# 方法引用
"Gu et al. [45] proposed a novel approach that..."

# 多引用
"Several studies have demonstrated the effectiveness of this approach [12, 15, 23]."

# 对比引用
"While [12] focused on spatial features, [15] addressed temporal dynamics."

Method Description Template

**[Method Name]** [Author] et al. [ref] proposed [method name], which [core innovation].
The key components include: (1) [component 1]; (2) [component 2]; (3) [component 3].
Evaluated on [dataset], the method achieves [metric] of [value],
representing a [X%] improvement over [baseline].
However, [limitation].

Section-by-Section Writing Guide

Abstract (150-250 words)

  • Background (1-2 sentences)
  • Existing problem (1 sentence)
  • Contributions of this paper (2-3 sentences)
  • Main findings (2-3 sentences)
  • Conclusion (1 sentence)

1. Introduction

  • 1.1 Background and Motivation: Importance of the field + history of technical development
  • 1.2 Limitations of Existing Surveys: Compare and explain our differentiation
  • 1.3 Contributions of This Paper: Clearly list 3-5 contributions
  • 1.4 Organization: Briefly describe the content of each chapter

2. Background

  • 2.1 Problem Definition: Formal description
  • 2.2 Foundational Techniques: Necessary technical background
  • 2.3 Evaluation Metrics: Define all metrics used

3. Taxonomy of Methods (Main Body)

For each method category:

  • Category overview (1-2 paragraphs)
  • Representative method descriptions (1 paragraph per paper)
  • Method comparison table
  • Summary (advantages, limitations, trends)

4. Experimental Comparison

  • Dataset description table
  • Cross-method performance comparison table
  • Results analysis and discussion

5. Applications

  • Description of each application scenario
  • Real-world deployment cases

6. Challenges and Future Directions

  • Current limitations (specific, data-supported)
  • Future directions (specific, actionable)

7. Conclusion

  • Summarize the main findings
  • Restate the contributions
  • Outlook

Output format

manuscript_draft.md

# [Title]: A Comprehensive Survey

## Key Points
- [Bullet 1]
- [Bullet 2]
- [Bullet 3]

## Abstract
[150-250 words]

## 1. Introduction
...

## References
[1] Author et al., "Title," Venue, Year.
[2] ...

Writing quality standards

Per-section checks

  • Clear topic sentences
  • Every claim has a citation
  • Accurate data
  • Natural transitions
  • Consistent terminology (cross-check AGENTS.md)

Full-text checks

  • Balanced section lengths
  • Coherent narrative
  • No important methods omitted
  • Citation numbering is sequential
  • Table numbering is sequential

Handoff

After completion:

  1. Update IMPLEMENTATION_PLAN.md Phase 4 status to "Completed"
  2. @mention the quality editor at the end of manuscript_draft.md
  3. If issues arise, @mention the research supervisor