related-work-analyzer

Analyze and organize related work for theoretical CS papers

509 stars

Best use case

related-work-analyzer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Analyze and organize related work for theoretical CS papers

Teams using related-work-analyzer should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/related-work-analyzer/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/domains/science/computer-science/skills/related-work-analyzer/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/related-work-analyzer/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How related-work-analyzer Compares

Feature / Agentrelated-work-analyzerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Analyze and organize related work for theoretical CS papers

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Related Work Analyzer

## Purpose

Provides expert guidance on analyzing and organizing related work for theoretical computer science papers.

## Capabilities

- Citation network analysis
- Technique categorization
- Result comparison tables
- Gap identification
- Timeline visualization
- Cross-area connection identification

## Usage Guidelines

1. **Literature Search**: Search for related papers
2. **Categorization**: Organize papers by technique/contribution
3. **Comparison**: Build comparison tables
4. **Gap Analysis**: Identify gaps in literature
5. **Positioning**: Position contribution relative to prior work

## Tools/Libraries

- Semantic Scholar
- DBLP
- Google Scholar
- Citation analysis tools

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