asciinema-tools
claudeTerminal recording automation: asciinema capture, launchd daemon for background chunking, Keychain PAT storage, Pushover notifications, cast conversion, and semantic analysis
24 skills
2
claude
unlimited-ocr
Local document parsing with baidu/Unlimited-OCR (MIT, 3B-total/500M-active MoE): markdown, LaTeX, tables and per-block layout bounding boxes, offline on Apple Silicon via MLX or an NVIDIA GPU via transformers. Ships the empirically-established working invocation (the upstream README's prompt decodes infinite garbage on MLX) and a figure segmenter that turns the model's refusal to describe charts into a pre-processing step.
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Plugin unlimited-ocr from marketplace cc-skills in terrylica/cc-skills. Commands read from the repo's manifest — today.
What it installs
Skills (3)
unlimited-ocr-batch-folderBatch parse a folder of PDFs and images to markdown with LaTeX, tables, and layout boxes using baidu/Unlimited-OCR locally — with checkpoint/resume, incremental writes, and per-file repetition detection. Use when processing a large folder of scanned documents or research papers, when you need result
unlimited-ocr-parse-documentParse an image, PDF, or directory into markdown with LaTeX formulas, HTML/markdown tables, and per-block layout bounding boxes, using baidu/Unlimited-OCR locally — free, offline, no API key, no upload quota. Runs on Apple Silicon via MLX (~2.4 s/image, ~5 GB) or an NVIDIA GPU via transformers. Use w
unlimited-ocr-segment-figureSplit a composite figure, screenshot, or dashboard into its individual panels by cropping the layout bounding boxes Unlimited-OCR detects, so each panel can be described separately by a vision model that is good at charts. Turns Unlimited-OCR's refusal to transcribe charts into a pre-processing win
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