Agent skill

related-work-analyzer

Analyze and organize related work for theoretical CS papers

a5c.ai1,642★ · 1 repos on radarProfile →
claude-codecodexcan modify filesMIT
Install
npx skills add a5c-ai/babysitter --skill related-work-analyzer --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Allowed tools: -Bash-Read-Write-Edit-Glob-Grep
Path: library/specializations/domains/science/computer-science/skills/related-work-analyzer/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,642
Language: JavaScript

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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

What's inside
Steps it walks through
  1. Purpose
  2. Capabilities
  3. Usage Guidelines
  4. Tools/Libraries
More from babysitter
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About this skill
What does the related-work-analyzer skill do?

Analyze and organize related work for theoretical CS papers

How do I install it?

Run `npx skills add a5c-ai/babysitter --skill related-work-analyzer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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