8 boosters for "deduplication" — AI-graded, open source, ready to install
A Cursor-integrated coding standards and linting configuration toolkit for NeMo Curator projects, helping teams enforce consistent data processing code quality with Ruff-based rules and exceptions.
A deduplication skill that intelligently groups and selects canonical versions of duplicate events across multiple data sources using reputation scoring and hash-based matching. Ideal for developers building data aggregation systems, search engines, or multi-source content platforms.
Enables efficient searching of Zotero libraries through Python code execution, avoiding context crashes while providing multi-strategy search with automatic deduplication. Ideal for researchers and developers who need comprehensive, safe access to large reference collections.
Heuristic scoring (no AI key configured).
This booster automates dependency management and security updates through Renovate configuration, with built-in auditing and deduplication tools. Teams benefit from reduced manual maintenance overhead and improved supply chain security.
This booster provides Copilot instructions for automating content curation and SEO-optimized article generation from trending topics, targeting content creators and marketers.
Cursor rules for standardizing GitHub issue creation and Knowledge Graph synchronization with automated deduplication and shell commands. Useful for teams managing task workflows across repositories.
A skill that enables safe, comprehensive searches of Zotero libraries by executing Python code to filter and rank results, preventing context overload crashes. Useful for researchers and developers who need efficient access to large reference collections.
