Paper2code

VERIFIED

Agent skill to turn any arxiv paper into a working implementation

Downloads 0
Stars 1.4K
Version 1.0.0
Quality 97/100 · Excellent

Install with one command

$ npx skills add PrathamLearnsToCode/paper2code

Decision summary

Production-ready for Coding agents

Use this as a leading candidate, then validate the README and install path in your own agent stack.

100
Readiness

Best for

  • Coding agents workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Not ideal for

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review

Risk notes

  • No OpenAgentSkill engagement data yet

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

97
GitHub stars
1.4K
Freshness
2mo ago
Install ready
Yes
License
MIT

Workflow fit

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Stack fit

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Overview

Agent skill to turn any arxiv paper into a working implementation

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, RAG, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
ai-agentsFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
5/31/2026
Published
5/24/2026

Frameworks & Tools

PythonAI Agents

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Author

P

PrathamLearnsToCode

@prathamlearnstocode

Platform Fit

Health Signals

GitHub stars
1.4K
Quality score
61/100
Last GitHub push
Apr 3, 2026
Framework hints
2
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community Signal

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Trust & Safety

  • Open source (public GitHub repo)
  • AI static analysis passed
  • License: MIT
  • Manually verified by team