uplo-data-analyticsAI-powered data analytics knowledge management. Search data pipeline documentation, dashboard specifications, data governance policies, and reporting standar...
Install via ClawdBot CLI:
clawdbot install roojenkins/uplo-data-analyticsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://img.shields.io/badge/ClawHub-uplo-data-analytics-blueAudited Apr 18, 2026 · audit v1.0
Generated May 6, 2026
When different teams report conflicting metrics (e.g., DAU), an analytics lead or data steward can search for canonical definitions, SQL logic, and business rules. The agent retrieves documentation across pipelines, dashboards, and governance policies to reconcile inconsistencies, then can propose updates to align definitions.
A data engineer investigating missing or NULL values in a dashboard can trace the lineage from source systems through ETL pipelines and dbt models. The agent searches for upstream dependencies, transformation logic, and recent data quality incidents to identify the root cause efficiently.
A new analyst or data engineer needs to quickly understand warehouse schema naming conventions, dbt project structure, and data access request processes. The agent surfaces documentation, code conventions, and governance policies to accelerate onboarding.
When a proposed schema change might break downstream dependencies, a data architect can search for all reports, dashboards, and models referencing the affected table or column. The agent provides a comprehensive list of dependencies to evaluate the change's impact.
A governance lead preparing for an audit can compile documentation on data classification, retention policies, and access controls. The agent retrieves current approved policies and identifies missing or outdated documentation that needs attention.
Organizations deploy this skill as an internal tool to reduce time spent searching for data documentation and resolving metric disputes. Revenue is generated through licensing fees or as part of a larger data platform subscription.
Data platform vendors (e.g., dbt, Looker, Snowflake) integrate this skill as a plugin or extension to enhance their product's knowledge management capabilities. Revenue comes from increased platform adoption or premium add-on pricing.
Consulting firms use this skill as a foundation to deliver data governance and documentation projects for clients. Revenue is generated through professional services fees for setup, customization, and training.
💬 Integration Tip
Start by indexing existing documentation using the search tools; encourage teams to use exact technical identifiers (table names, column names) for best results.
Scored May 6, 2026
Frontend development with React, Next.js, Tailwind CSS. Build landing pages, dashboards, forms, components. Responsive, accessible, performant UI.
Create distinctive, production-grade static sites with React, Tailwind CSS, and shadcn/ui — no mockups needed. Generates bold, memorable designs from plain text requirements with anti-AI-slop aesthetics, mobile-first responsive patterns, and single-file bundling. Use when building landing pages, marketing sites, portfolios, dashboards, or any static web UI. Supports both Vite (pure static) and Next.js (Vercel deploy) workflows.
Use when building UI with shadcn/ui components, Tailwind CSS layouts, form patterns with react-hook-form and zod, theming, dark mode, sidebar layouts, mobile navigation, or any shadcn component question.
Tailwind reference tool. Use when working with tailwind in frontend contexts.
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