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lindy-data-handling

7.0

by jeremylongshore

100Favorites
275Upvotes
0Downvotes

Best practices for handling data with Lindy AI. Use when managing sensitive data, implementing data privacy, or ensuring data compliance. Trigger with phrases like "lindy data", "lindy privacy", "lindy PII", "lindy data handling", "lindy GDPR".

data-privacy

7.0

Rating

0

Installs

Data & Analytics

Category

Quick Review

Excellent skill providing comprehensive data handling practices for Lindy AI with strong focus on privacy and compliance. The description clearly communicates when to invoke this skill (data privacy, PII, GDPR scenarios). Task knowledge is thorough with detailed TypeScript implementations covering data classification, PII redaction, secure pipelines, retention management, and GDPR compliance handlers. Structure is logical with step-by-step progression from classification to compliance. The skill offers moderate-to-good novelty by consolidating complex privacy patterns specific to Lindy AI that would require significant research and implementation effort from a CLI agent alone. Minor improvement opportunities exist in making the description slightly more action-oriented and adding more complex edge cases, but overall this is a high-quality, production-ready skill.

LLM Signals

Description coverage8
Task knowledge9
Structure8
Novelty7

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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