Skill comparison
Compare agent skills before installing.
Comparing 1 skill
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
lt2md is the strongest overall pick here because it has a 61/100 readiness score and fits Document processing.
Strongest overall
lt2md
Prototype with this skill first; keep a fallback candidate ready.
Fastest prototype
lt2md
Best first install candidate based on install readiness and adoption.
Freshest repo
lt2md
Most recent maintenance signal among this shortlist.
| Signal | lt2md Convert born-digital, scanned, or mixed PDFs into auditable Markdown while preserving reading order, equations, source-page anchors, and information-bearing images as adjacent non-original text descriptions. Use this skill whenever a user asks to transcribe, OCR, understand, or convert a PDF into Markdown, especially for scanned PDFs, image-heavy pages, formulas, multi-column layouts, page or section ranges, or token-efficient reuse. LT2MD (Long Transcribe to Markdown) is a workflow contract, not a replacement for a PDF parser or OCR/VLM backend. |
|---|---|
| Quality | 62/100 Promising |
| Decision verdict | 61/100 Prototype first Prototype with this skill first; keep a fallback candidate ready. |
| Adoption | 33 stars Verified outcomes are shown on each skill page |
| Freshness | Aug 23, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | Low GitHub adoption signal · The SKILL.md references external files (references/*.md, scripts/*.py) that are not fully included in the excerpt, but they are part of the repository and the skill is self-contained within the repo. · No OpenAgentSkill engagement data yet |
| Best for | Document processing workflows · Claude Code teams · builders willing to evaluate younger projects |
| Not ideal for | teams that need a vendor-supported SLA · production agents without a repository review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add libnyx/LT2MD --skill lt2md |