Unilm

VERIFIED

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Downloads 0
Stars 22.1K
Version 1.0.0
Quality 100/100 · Excellent

Install with one command

$ npx skills add microsoft/unilm

Decision summary

Production-ready for Document processing

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

100
Readiness

Best for

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

Not ideal for

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review

Risk notes

  • No major risk signals from current metadata

Quality profile

Excellent candidate for agent workflows

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

100
GitHub stars
22K
Freshness
5mo ago
Install ready
Yes
License
MIT

Workflow fit

Use this skill in these scenarios

Stack fit

Add it to a complete workflow

Overview

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

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

pythonFULL
document-aiFULL

Technical Details

Version
1.0.0
License
MIT
Last Updated
6/7/2026
Published
6/5/2026

Frameworks & Tools

PythonDocument AI

Claim this skill

Project owners can request ownership review. Approved claims unlock a stronger trust signal.

Author

M

microsoft

@microsoft

Platform Fit

Health Signals

GitHub stars
22.1K
Quality score
67/100
Last GitHub push
Jan 23, 2026
Framework hints
2
OpenAgentSkill views
4
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

  • Open source (public GitHub repo)
  • AI static analysis passed
  • License: MIT
  • Manually verified by team