Attention Ocr
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
Install with one command
$ npx skills add emedvedev/attention-ocrBest for
Document processing
Find skills for parsing PDFs, extracting tables, running OCR, converting documents, and preparing file content for agent workflows.
Choose it when
- You want a GitHub-backed skill with 1.1K stars.
- You need a reusable install command for agents.
- You want to compare it with related marketplace skills.
Check before install
- Pushed 3y ago
- License: MIT
- Review the repository README and examples.
Quality profile
Strong candidate for agent workflows
Solid option that is likely worth shortlisting for production workflows.
Workflow fit
Use this skill in these scenarios
Parse messy files
Document processing
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Build and ship code
Coding agents
I need a coding agent that can understand a repository, edit code, and review pull requests.
Search private knowledge
RAG and knowledge
I need my agent to build a RAG workflow over documents and retrieve reliable context.
Stack fit
Add it to a complete workflow
Inspect, patch, and verify code
Coding review agent
A stack for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
RAG knowledge base
A stack for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Turn skills into distribution
Content growth agent
A stack for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Overview
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
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
Technical Details
- Version
- 1.0.0
- License
- MIT
- Last Updated
- 5/24/2026
- Published
- 5/24/2026
Frameworks & Tools
Author
emedvedev✓
@emedvedev
Tags
Platform Fit
Health Signals
- GitHub stars
- 1.1K
- Quality score
- 48/100
- Last GitHub push
- Oct 20, 2023
- Framework hints
- 2
Community Signal
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Trust & Safety
- —Open source (public GitHub repo)
- —AI static analysis passed
- —License: MIT
- —Manually verified by team
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