Skill comparison
Compare agent skills before installing.
Put high-signal skills side by side and inspect quality, adoption, freshness, install readiness, use-case fit, and warnings in one place.
Comparing 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
MegaParse is the strongest overall pick here because it has a 81/100 readiness score and fits Document processing.
Strongest overall
MegaParse
Shortlist this skill and compare it with close alternatives before production adoption.
Fastest prototype
MegaParse
Best first install candidate based on install readiness and adoption.
Freshest repo
MegaParse
Most recent maintenance signal among this shortlist.
| Signal | MegaParse File Parser optimised for LLM Ingestion with no loss 🧠 Parse PDFs, Docx, PPTx in a format that is ideal for LLMs. |
|---|---|
| Quality | 79/100 Strong |
| Decision verdict | 81/100 Strong shortlist Shortlist this skill and compare it with close alternatives before production adoption. |
| Adoption | 7.4K stars 0 installs |
| Freshness | Feb 21, 2025 |
| Use-case fit | |
| Stack fit | |
| Platform hints | Python, PDF, Claude Code |
| Warnings | Repository looks stale · No OpenAgentSkill engagement data yet |
| Best for | Document processing workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that require actively maintained dependencies · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add QuivrHQ/MegaParse |