Skill UI

This comprehensive skill guides users through automating complex Jira operations using the Rube MCP framework. Capabilities include searching and filtering issues via JQL, creating and editing tasks, managing agile sprints and boards, adding comments, and managing users and projects. It provides a systematic approach to integrating Jira workflows into automated processes.

Provides comprehensive patterns and techniques for securing AI agent systems. Learn how to enforce governance policies, including tool allow/block lists, content filtering, rate limiting, and human approval workflows. Essential for building robust, compliant, and trustworthy agents in multi-agent or production environments that interact with external APIs and sensitive data.

Master the art of developing robust and scalable Python applications that interface with Microsoft Dataverse. This skill covers implementing enterprise-grade best practices, including comprehensive error handling using DataverseError hierarchy, advanced retry logic with exponential backoff, and optimizing API calls using OData standards (filtering, selecting, and expanding). It ensures code is clean, maintainable, and production-ready.

This comprehensive tool suite provides programmatic automation for Todoist task management. Users can manage the entire task lifecycle, including creating, updating, completing, and deleting tasks. It also supports structured organization by managing projects and sections, and filtering tasks using advanced workflows. Ideal for integrating task management into automated business processes or applications.

Expert technique for narrowing down Asian drama candidates by leveraging streaming platform and broadcast channel information. Use this when the query mentions services like Netflix, Viki, or Amazon Prime, combined with genre and year details. This method significantly increases search precision, especially when combining platform data with temporal or thematic keywords.

Process, clean, compare, and search tandem mass spectra with matchms 0.33.1. Covers MS/MS file I/O, metadata harmonization, peak filtering, spectral similarity scoring, library matching, score matrices, and molecular-similarity networks in Python.

Python library for medicinal chemistry filtering of compound libraries. Apply drug-likeness rules (Lipinski, Veber, CNS), structural alerts (PAINS, NIBR, ChEMBL), complexity metrics, chemical group detection, and a query language for large-scale molecular triage in drug discovery.

A Python library for reading, querying, filtering, and writing genomic file formats including SAM/BAM/CRAM, VCF/BCF, FASTA/FASTQ, and tabix data. Supports pileup, coverage analysis, indexing, and CRAM reference operations with HTSlib integration. Ideal for bioinformatics workflows requiring low-level streaming access to genomic data.

This comprehensive workflow guides the implementation of a core Algolia search feature. It covers advanced concepts such as full-text search, combining multiple filters (e.g., price range, stock status), utilizing faceted navigation for refined filtering, managing pagination, and displaying highlighted search results. This is essential for building robust and highly functional e-commerce search UIs.

A comprehensive guide to implementing secure and compliant data handling within Algolia. This skill demonstrates how to transform source records, strip Personally Identifiable Information (PII), implement attribute filtering, and enforce data access controls. It provides robust workflows for GDPR and CCPA compliance, including data deletion (Right to Erasure) and Data Subject Access Requests (DSAR).

This guide provides a comprehensive framework for optimizing operational costs within the Glean enterprise search platform. It details best practices for content governance, including filtering stale drafts and limiting document sizes, optimizing data source connectors, and implementing incremental indexing strategies. Implementing these measures helps minimize indexing volume and usage fees, maximizing search value while maintaining cost efficiency.

Implement robust webhooks for Attio v2, allowing real-time subscription to CRM events (record, note, task, etc.). This skill covers setting up subscriptions, verifying event signatures using HMAC-SHA256 for security, filtering events by object or attribute, and ensuring processing idempotency. It is essential for integrating Attio with external systems like Notion or custom CRMs.