Skill UI

Automate Jira operations through Atlassian MCP by searching, creating, updating, transitioning, and commenting on issues while auto-detecting project configuration and enforcing consistent templates for sprint and workflow requests.

Automate Jira tasks through Composio’s Rube MCP connector, covering issue search, creation, edits, agile boards, comments, projects, and user roles while always querying latest tool schemas.

Automates Jira ticket generation inside enterprise workflows by responding to trigger phrases with step-by-step guidance, code/configuration samples, and validation aligned with governance, compliance, and integration practices.

Guides enterprise teams through automating Jira workflow creation by applying best practices, generating production-ready code and configurations, and validating outputs for governance, compliance, and integration scenarios.

Automates JMeter test plan creation and validation for load, stress, and benchmarking scenarios; triggers whenever you request the jmeter test plan creator and delivers production-ready configs aligned with best practices.

Comprehensive reference for designing Spring Boot entities, repositories, transactions, pagination, and pooling with JPA/Hibernate patterns plus auditing, indexing, and caching strategies.

Auto-activating tool that guides technical documentation work by providing jsdoc comment templates, best practices, and validation for APIs, guides, and automation workflows.

Create, modify, and validate Obsidian-compatible JSON Canvas (.canvas) files to build visual boards, mind maps, flowcharts, or note-link diagrams with nodes, edges, groups, and colors.

A comprehensive guide for optimizing operational spending within the Juicebox platform. This skill identifies key cost drivers—including search queries, data enrichment, contact lookups, and outreach messages—and provides actionable strategies. Users can learn techniques like caching search results, utilizing filters, and monitoring quota usage to ensure maximum efficiency and budget adherence.

This guide provides comprehensive metrics, instrumentation code (TypeScript), health check logic, and alerting rules for monitoring a SaaS platform like Juicebox. It covers critical metrics such as search latency (p95), data ingestion rates, API error rates, and quota usage, ensuring the maintenance of an optimal user experience and data integrity. Use this to establish robust operational monitoring dashboards and alerts.

This comprehensive checklist guides the operational validation of the Juicebox AI talent search and analysis platform in a production environment. It ensures system reliability, data security, and service continuity by reviewing critical areas such as API key management, rate limit handling, robust error detection (circuit breakers, exponential backoff), data encryption (GDPR/CCPA compliance), and comprehensive monitoring setup. It is essential for preventing service failures and maintaining search data integrity.

Automates Junglescout workflows through Composio's toolkit by orchestrating Rube MCP calls for tool discovery, connection checking, and execution while highlighting mandatory steps like schema fetching and session management.