post-ocr-cleanup
Clean post-OCR text: correction, QA, multilingual handling, provenance.
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill post-ocr-cleanup --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Post-OCR Text Cleanup for Research Corpora ## Instructions ### 1. Cleanup Strategy Selection - **Characterize the error-generating DGP before selecting a method.** Document source language(s), era, typeface family (Fraktur, Antiqua, typewritten, handwritten), scan DPI, OCR engine, and domain jargon. Each parameter constrains which corrections are plausible and which risk introducing semantic dri
What does the post-ocr-cleanup skill do?
Clean post-OCR text: correction, QA, multilingual handling, provenance.
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill post-ocr-cleanup --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 brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 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.