Connected Papers Mapper

SkillDev tools

Citation graph exploration for discovering related work through visual graph traversal

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

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

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 Connected Papers Mapper skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/scientific-discovery/skills/connected-papers-mapper/SKILL.md and read by ahel’s review.

Purpose

Provides citation graph exploration capabilities for discovering related work through visual graph traversal and temporal analysis.

Capabilities

Citation graph generation
Seminal paper identification
Research front detection
Temporal citation analysis
Field bridge identification
Export to reference managers

Usage Guidelines

Seed Papers: Start with key papers in the field
Graph Exploration: Navigate citation relationships
Temporal Analysis: Track field evolution over time
Bridge Detection: Find cross-disciplinary connections

Tools/Libraries

Connected Papers API
NetworkX
pyvis

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: connected-papers-mapper
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter