Score breakdown
Popularity is tracked separately. Support, ads, sponsorships, and tips never affect these signals.
Why it matters
Useful for teams that want a faster way to standardize agent behavior around real job functions instead of hand-writing the same prompts, commands, and tool wiring in every workspace.
Who should use it
Who should skip it
Move on from anthropics/knowledge-work-plugins if the licensing terms, language support, or platform requirements do not fit your project.
About this signal
anthropics/knowledge-work-plugins is tracked by RepoRadar as a library in the AI Productivity section. First seen 2026-06-21; the source record was last checked on 2026-06-21. The current verdict is 'worth watch' with a Gold tier and moderate setup difficulty. The standout signals for anthropics/knowledge-work-plugins are workflow potential (8.9) and open-source/build quality (8.4), while setup ease (6.4) trails — that balance shapes where it fits best. This page summarizes the public evidence on the linked source page and states where additional review is still needed.
How this item is evaluated
The anthropics/knowledge-work-plugins record combines a 8.5/10 composite score with separate popularity (8.4), risk (conditional), and setup (moderate) signals. See the scoring methodology for the current weights and evidence definitions.
Putting this into practice? Read How to evaluate an AI tool before you adopt it for the checklist behind this score.
Risk explanation
Many plugins are designed to connect calendars, documents, email, or internal systems, so teams should review data access and connector scope before rolling them out widely.