Skill UI

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.

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.

Implements robust Role-Based Access Control (RBAC) for Juicebox, an AI-powered platform for recruiting and sales. This system defines granular permissions for various roles (Admin, Recruiter, Analyst, etc.), controlling access to sensitive candidate databases, data enrichment capabilities, outreach functions, and data export. It ensures data governance, maintains compliance (e.g., SOC 2), and segments user access based on job function and need-to-know principles.

This architecture provides a scalable, production-ready framework for integrating AI candidate analysis with Juicebox. It manages automated data ingestion from job descriptions, ranks candidates using intelligent scoring, handles result caching, and facilitates seamless data export to major ATS platforms like Greenhouse and Lever. Designed for high-volume, complex hiring pipelines requiring data freshness, deduplication, and robust scaling.

This module provides production-grade patterns for integrating the Juicebox AI-powered people search API. It includes a singleton client for centralized rate-limit handling, a robust request builder for complex criteria (location, company, experience years), and structured error wrappers for reliable API calls (retries, error context). Ideal for building scalable recruitment, market research, or data enrichment tools.

Automates KPI dashboard template tasks within enterprise workflows by offering guidance, best-practice patterns, production-ready code/configuration, and validation for compliance, governance, and integration scenarios.

A comprehensive guide and tool for building and configuring complex, multi-step AI agent workflows. Users can define sophisticated automation pipelines by chaining together customizable triggers (e.g., email, webhook), actions (e.g., Slack post, database update), conditional logic, and external knowledge bases. Ideal for automating business processes like customer support triage, data processing, and complex notifications, ensuring deterministic and scalable AI operations.

Automate Linear project, issue, cycle, label, and comment workflows via the Composio Linear toolkit exposed through Rube MCP, including prerequisite connection checks and optional custom GraphQL queries for advanced cases.

Automate core Agile workflows within Linear. This skill allows users to manage the entire project lifecycle, including creating and updating projects, setting milestones, assigning issues, and managing time-boxed cycles (sprints). It also includes advanced functionalities like calculating cycle metrics and rolling over unfinished tasks, significantly streamlining product development and planning processes.

Automates the setup and best practices for linear issue generation within enterprise workflows, offering guidance, production-ready code, and validation for governance, compliance, and integration tasks.

This comprehensive guide provides step-by-step instructions to optimize localization spending on Lokalise. Learn how to audit current usage across projects and languages, minimize per-seat costs by managing contributor access, maximize Translation Memory (TM) hits, and efficiently triage Machine Translation (MT) to keep your localization projects well within budget.