Skill UI

Automates searching the web for technical insights and packing them into clear GitHub issues so teams can immediately act on findings. Trigger it when you need research translated into tracked work or security/feature tickets.

CrewAI orchestrates autonomous multi-agent teams for role-based collaboration, sequential or hierarchical workflows, and production-grade orchestration with memory and tool integrations without LangChain.

Culture Index compiles organizational culture scores by comparing values, behaviors, and engagement insights so leaders can benchmark teams and guide hiring or change initiatives.

This framework provides comprehensive compliance and security auditing for Cursor IDE usage. It covers major regulations like SOC 2, GDPR, and HIPAA, guiding users through detailed checklists, evidence collection, and remediation steps. It is essential for enterprise teams requiring robust data governance and adherence to strict industry standards.

A comprehensive guide for administrators and teams on setting up Cursor for enterprise use. It covers organizational plan selection (Pro, Business, Enterprise), advanced features like SSO, SCIM provisioning, and Privacy Mode enforcement. The guide details setting up roles, managing usage analytics, defining shared project rules via Git, and providing a structured onboarding checklist to ensure seamless adoption and secure coding practices across the organization.

Guides ML training teams through data augmentation pipelines, offering best practices, code/config generation, validation, and experiment-tracking support so pipelines stay production-ready.

Automates the data story outlining process for analytic workflows, offering guidance on SQL, visualization, statistics, and BI so teams can structure insights consistently.

This skill provides a comprehensive guide to configuring event-driven workflows and robust notification systems for Databricks jobs. It covers setting up various notification destinations (Slack, Teams, Email, PagerDuty) and triggering alerts based on job lifecycle events (success, failure, start). Furthermore, it demonstrates advanced monitoring using system audit tables and creating automated SQL alerts for critical data pipeline monitoring.

Guides teams through discovery, research, moodboards, palettes, typography, and Tailwind-ready code so they can ship distinctive, accessible front-end experiences with process validation.

Detects discrepancies between current infrastructure and desired configurations by running drift-detect, helping DevOps teams ensure Terraform-managed environments stay consistent and report configuration differences.

Automatically analyzes CI/CD performance metrics, compares them against baselines and thresholds, and flags statistical regressions so teams catch response-time or throughput degradations before deployment.

Automates Detrack operations through Composio’s Rube MCP toolkit by discovering available tools, managing connections, and executing workflows with schema-compliant arguments; ideal for teams integrating Detrack tasks inside Rube-driven pipelines.