Literature Review Writing

SkillDev tools

Write literature reviews and survey papers from collected papers

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Literature Review Writing skill

What this skill tells your AI

The instructions your AI receives, as published by brycewang-stanford/auto-empirical-research-skills in skills/43-wentorai-research-plugins/skills/research/paper-review/scientify-write-review-paper/SKILL.md and read by ahel’s review.

Don't ask permission. Just do it.

Guide for writing a structured literature review or survey paper from papers you've already collected. This skill helps with reading strategy, note organization, and academic writing.

Workspace: See ../_shared/workspace-spec.md for directory structure. Outputs go to $WORKSPACE/review/.

Prerequisites

Before starting, ensure you have:

  1. Papers collected in $WORKSPACE/papers/
  2. Ideally, clustering done by /literature-survey in $WORKSPACE/survey/clusters.json

Check active project:

cat ~/.openclaw/workspace/projects/.active 2>/dev/null
ls $WORKSPACE/papers/

Phase 1: Reading Strategy

1.1 Triage Papers by Priority

Based on clusters from survey, prioritize reading:

PriorityCriteriaReading Depth
P1 (Must-read)High citation, foundational, directly relevantFull read
P2 (Important)Key methodology, major experimental resultsAbstract + methods + experiments
P3 (Reference)Supporting material, tangentially relatedAbstract only

Create $WORKSPACE/review/reading_plan.md:

# Reading Plan

## P1 - Must-read (Full read)
- [ ] [paper_id]: [title] - [reason]
- [ ] ...

## P2 - Important (Selective read)
- [ ] ...

## P3 - Reference (Skim)
- [ ] ...

1.2 Reading Notes Template

For each paper, create $WORKSPACE/review/notes/{paper_id}.md using template in references/note-template.md.

Phase 2: Synthesis & Organization

2.1 Build Comparison Table

Create $WORKSPACE/review/comparison.md:

# Method Comparison

| Paper | Year | Category | Key Innovation | Dataset | Metric | Result |
|-------|------|----------|----------------|---------|--------|--------|
| [A]   | 2023 | Data-driven | ... | ... | RMSE | 0.05 |
| [B]   | 2022 | Hybrid | ... | ... | RMSE | 0.08 |

2.2 Timeline Analysis

Create $WORKSPACE/review/timeline.md:

# Research Timeline

## 2018-2019: Early Exploration
- [Paper A]: First proposal of method X
- [Paper B]: Introduction of technique Y

## 2020-2021: Method Maturation
- [Paper C]: Proposed SOTA method
- ...

## 2022-2023: New Trends
- [Paper D]: Began addressing problem Z
- ...

## Key Milestones
1. [Year]: [Event/Paper] - [Significance]

2.3 Taxonomy Design

Create $WORKSPACE/review/taxonomy.md:

# Taxonomy of Approaches

## Dimension 1: Method Type
- Data-driven
  - Statistical (e.g., GPR, SVM)
  - Deep Learning
    - CNN-based
    - RNN/LSTM-based
    - Transformer-based
  - Hybrid
- Model-based
  - Electrochemical
  - Equivalent Circuit

## Dimension 2: Data Source
- Laboratory Data
- Real-world Driving Data
- Synthetic Data

## Dimension 3: Prediction Horizon
- Short-term (< 100 cycles)
- Medium-term (100-500 cycles)
- Long-term (> 500 cycles)

Phase 3: Writing Structure

3.1 Survey Paper Template

Create $WORKSPACE/review/draft.md using template in references/survey-template.md.

Key sections: Abstract -> Introduction -> Background -> Taxonomy -> Comparison -> Datasets -> Future Directions -> Conclusion

3.2 Thesis Literature Review Template

For a thesis chapter:

# Chapter 2: Literature Review
## 2.1 Introduction
## 2.2 [Topic Area 1]
## 2.3 [Topic Area 2]
## 2.4 Summary and Research Gaps

Phase 4: Writing Tips

Citation Density Guidelines

SectionCitation Density
Abstract0 citations
Introduction10-20 citations
Background5-10 citations
Main Survey50-100+ citations
Conclusion2-5 citations

Transition Phrases

Introducing similar work:

  • "Similarly, [Author] proposed..."
  • "Following this direction, ..."
  • "Building upon [X], [Author] extended..."

Introducing contrasting work:

  • "In contrast, [Author] argued..."
  • "However, [Author] took a different approach..."
  • "Unlike previous methods, ..."

Summarizing:

  • "In summary, existing methods can be categorized into..."
  • "The key insight from these works is..."

Common Mistakes to Avoid

  1. List-style writing - Don't just say "A did X, B did Y, C did Z"
  2. Lack of comparison - Analyze relationships and differences between methods
  3. Tense confusion - Use present tense for methods, past tense for results
  4. Over-citing - Not every sentence needs a citation
  5. Missing important work - Ensure coverage of foundational works in the field

Output Files

$WORKSPACE/review/
├── reading_plan.md       # Reading plan
├── notes/                # Reading notes
│   ├── {paper_id}.md
│   └── ...
├── comparison.md         # Comparison table
├── timeline.md           # Timeline analysis
├── taxonomy.md           # Taxonomy
├── draft.md              # Review draft
└── bibliography.bib      # References

Commands

  • "Help me write a review" -> Full workflow from reading to writing
  • "Generate reading plan" -> Create reading_plan.md
  • "Compare these papers" -> Generate comparison.md
  • "Write review draft" -> Generate draft.md
  • "Polish this section" -> Polish specific section

Signals

GitHub stars
4k
Forks
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Last commit
Sep 2026
Advanced
Item type
skill
Key
scientify-write-review-paper
Source
github.com/brycewang-stanford/auto-empirical-research-skills