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Skills/document-processing/Docstrange

Docstrange

STRONG · 83
Community indexed

Extract and convert data from any document, images, pdfs, word doc, ppt or URL into multiple formats (Markdown, JSON, CSV, HTML) with intelligent structured data extraction and advanced OCR.

Downloads0
Stars1.5K
Version1.0.0
Quality85/100 · Excellent
Trust83/100 · Review then install
Audit84/100 · Safe to try

Supply asset profile

Research and knowledge work

Deep research, source comparison, literature review, RAG, knowledge search, and reports.

Browse track

Scenario

Document processing

I need my agent to read PDFs, extract tables, and turn documents into structured data.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add NanoNets/docstrange

Maintenance

stable

9mo since push

Risk

Safe to try

Quality score needs review

GitHub quality

1.5K

85/100 quality · 86/100 trust

Coverage tags

ResearchDocument processingdocument-processingocrdocuments

Review notes

Quality score needs review

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Excellent
85

High-confidence pick with strong adoption and healthy maintenance signals.

Trust

Review then install
83

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

Audit

Safe to try
84

Install readiness, security metadata, maintenance, and adoption risk.

Trust Score v5

Agent install candidate

Use as the primary candidate after human or sandbox review.

PythonOCRCodexClaude CodeCursor

Stars

1.5K GitHub stars

Repo activity

1.5K stars, 135 forks

Maintenance

9mo since push

License

MIT

Install

npx skills add NanoNets/docstrange

Install safety

standard package or runtime install path

Permission surface

filesystem or document access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Low metadata risk

  • Quality score needs review

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Document processing workflows
  • Claude Code teams
  • teams that value GitHub adoption signals
  • Read uploaded files

Suited agents

PythonOCRCodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add NanoNets/docstrange
Policy
review
Human review
yes

Trust and risk

Trust
83/100
Audit
84/100
Risk level
Safe to try

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add NanoNets/docstrange
Public auditEval reportResolve APIInstall handoff

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • Quality score needs review
  • Production credentials, payments, or irreversible account changes without explicit human review

Alternative

Markitdown

156.1K stars

npx skills add microsoft/markitdown

Alternative

PaddleOCR

83.1K stars

npx skills add PaddlePaddle/PaddleOCR

Alternative

Stirling PDF

81.2K stars

npx skills add Stirling-Tools/Stirling-PDF

Alternative

Tesseract

74.7K stars

npx skills add tesseract-ocr/tesseract

Agent safety v2

68/100 · Review before install

Reviewedreview

Good audit and safety signals with no high-risk permission hints in public metadata.

Review the audit page, then allow agent install in a sandboxed workflow.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Quality score needs review

Install targets

Install this skill in your agent workflow

Copy the registry command or an agent-specific install prompt for Codex, Claude Code, and Cursor.

skill install

OpenAgentSkill CLI

Use the registry command when your workflow supports the OpenAgentSkill installer.

$ npx skills add NanoNets/docstrange

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Resolve JSON

/api/agent/resolve?task=Use%20Docstrange%20for%20an%20agent%20workflow&agent=codex&max_risk=medium

Resolve text

/api/agent/resolve?task=Use%20Docstrange%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text

Install handoff

/api/skills/nanonets-docstrange/install

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use Docstrange in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20Docstrange%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/nanonets-docstrange/install
Install command: npx skills add NanoNets/docstrange
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Install handoff

/api/skills/nanonets-docstrange/install

LLM text format

/api/skills/nanonets-docstrange/install?format=text

Find alternatives

/api/skills/search?q=Docstrange&limit=3

Agent prompt

Use Docstrange for this task. Review https://www.openagentskill.com/api/skills/nanonets-docstrange/install, then install with: npx skills add NanoNets/docstrange

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Manifest

/api/registry/manifest/nanonets-docstrange

LLM text

/api/registry/manifest/nanonets-docstrange?format=text

Install alias

/api/registry/install/nanonets-docstrange

Recommend

/api/registry/recommend?task=Use%20Docstrange%20in%20an%20agent%20workflow&limit=3

Agent fit

89/100

Document processing

Use-case tags

Document processingRAG and knowledgeWorkflow automation

Platforms

Python, OCR, Claude Code

Audit report

Safe to try · 84/100

Review install readiness, maintenance, trust, quality, and metadata warnings before adding this skill to an agent workflow.

View audit reportView eval report

Agent decision cockpit

Primary pick for Document processing

Use this as a leading candidate, then validate the README and install path in your own agent stack.

89
Readiness
Adopt
Stage

Role in stack

Primary pick

Primary fit

Document processing

Trust label

Production-ready

Install path

Command ready

Use when

  • Document processing workflows
  • Claude Code teams
  • teams that value GitHub adoption signals

Evidence

  • 1,489 GitHub stars
  • install command or GitHub repo available
  • 85/100 quality profile
  • 4 OpenAgentSkill engagement events

Review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one Document processing task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Review then install

Good shortlist signal, but the agent should review audit notes, install policy, and outcome evidence before running it.

83
Trust score

GitHub adoption

PASS

1.5K GitHub stars

Stars/forks activity

INFO

1.5K stars, 135 forks; issue activity unavailable in current metadata

Recent maintenance

INFO

9mo since push

License clarity

PASS

MIT

Good signals

  • Manually verified listing
  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Meaningful GitHub adoption signal
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • Quality score needs review
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Use as the primary candidate after human or sandbox review.

Quality profile

Excellent candidate for agent workflows

High-confidence pick with strong adoption and healthy maintenance signals.

85
GitHub stars
1.5K
Freshness
9mo ago
Install ready
Yes
License
MIT

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.

Search private knowledge

RAG and knowledge

I need my agent to build a RAG workflow over documents and retrieve reliable context.

Automate repeated work

Workflow automation

I need my agent to automate a repeated workflow across tools and files.

Stack fit

Add it to a complete workflow

Scrape, clean, and reuse web data

Web data pipeline

A practical stack for agents that crawl public pages, extract clean content, normalize data, and hand it to downstream research or RAG workflows.

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.

Alternative shortlist

Compare before you install

Similar skills in this category, ranked with the same readiness and quality signals.

Compare all

Markitdown

Python tool for converting files and office documents to Markdown.

Adopt
Ready100
Quality100
Stars156.1K

PaddleOCR

Turn any PDF or image document into structured data for your AI. A powerful, lightweight OCR toolkit that bridges the gap between images/PDFs and LLMs. Supports 100+ languages.

Adopt
Ready100
Quality100
Stars83.1K

Stirling PDF

#1 PDF Application on GitHub that lets you edit PDFs on any device anywhere

Adopt
Ready100
Quality100
Stars81.2K

Tesseract

Tesseract Open Source OCR Engine (main repository)

Adopt
Ready100
Quality100
Stars74.7K

Overview

Extract and convert data from any document, images, pdfs, word doc, ppt or URL into multiple formats (Markdown, JSON, CSV, HTML) with intelligent structured data extraction and advanced OCR.

Imported by the skill-only GitHub discovery pipeline because it matches agent skill, automation, domain workflow, RAG, document-processing, data, finance, security, or developer-tool signals. Protocol-server projects are excluded from automated imports.

Platform Compatibility

pythonFULL
ocrFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
6/26/2026
Published
5/24/2026

Frameworks & Tools

PythonOCR

Decision snapshot

Primary pick

89
Ready
Adopt
Stage

1,489 GitHub stars

Audit snapshot

Install review

Install and adoption review

84
Safe to try
Security
89/100
Maintenance
62/100
Install
92/100
Open full auditOpen eval report

Agent-proven evidence

Agent Proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
—
Recent failure
—
Outcomes
0
Output quality
—
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Agent-Proven rankingOutcome contract

Install

Add to agent workflow

Free and open source. Review the audit before production use.

Compare AlternativesAuto-resolve PlanView on GitHubDocumentation

Growth loop

Share kit

X

Scenario-led draft for Docstrange, ready for a manual X post.

Curator note
Most agents can draft slides. The hard part is choosing the right deck workflow.

Docstrange helps agents turn briefs, docs, or research notes into editable deck workflows.

1.5K stars

https://www.openagentskill.com/skills/nanonets-docstrange?ref=x
#AIAgents
Open X draft
Optional reply with install command
Listing + install path for Docstrange:
https://www.openagentskill.com/skills/nanonets-docstrange?ref=x

Install: npx skills add NanoNets/docstrange
Open reply draft

Listing source

Community indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
NanoNets
Source
NanoNets/docstrange
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This community indexed listing is attributed to NanoNets but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/nanonets-docstrange?metric=listed&label=Listed)](https://www.openagentskill.com/skills/nanonets-docstrange)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/nanonets-docstrange?metric=trust&label=Trust)](https://www.openagentskill.com/skills/nanonets-docstrange)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/nanonets-docstrange?metric=audit&label=Audit)](https://www.openagentskill.com/skills/nanonets-docstrange/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/nanonets-docstrange?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/nanonets-docstrange)
Preview badge Open audit Creator Kit

Author

N

NanoNets✓

@nanonets

Tags

ocrdocumentsextractionaidocument-parserdocument-parsingimage-to-markdownllmmarkdownpdf-parser

Platform Fit

Claude Code

Health Signals

GitHub stars
1.5K
Quality score
53/100
Last GitHub push
Oct 31, 2025
Framework hints
2
OpenAgentSkill views
3
Install copies
0
Outbound clicks
0

Community Signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & Safety

Review then install

83
  • GitHub adoption1.5K GitHub starsPASS
  • Stars/forks activity1.5K stars, 135 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance9mo since pushINFO
  • License clarityMITPASS
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime riskno major dependency risk hints in public metadataPASS

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