Skill UI

This skill provides structured patterns for combining vector similarity search with traditional keyword-based search. It is essential for building advanced Retrieval-Augmented Generation (RAG) systems, sophisticated search engines, or any retrieval task requiring high recall. Use this when pure semantic understanding is insufficient, and precise matching of specific terms (like names or codes) is necessary.

This skill formats AI responses to support ADHD readers by prioritizing immediate next actions, numbered steps, and specific time estimates. It eliminates tangents and preamble, ensuring visible progress and clear state tracking for better task execution and focus.

A powerful tool for deterministic and reproducible retrieval of evidence from specialized academic and policy corpora. It supports searching arXiv (preprints), PubMed/PMC (biomedical literature), and US policy documents. Users can check corpus freshness, retrieve stable metadata, and fetch full-document Markdown for high-reliability research tasks.

This skill enables users to interact with GitHub issues using the GitHub CLI. It guides users through creating new issues, listing existing issues, or viewing specific issue details. The workflow includes gathering titles, descriptions, issue types, and labels before executing commands. It supports bug reporting, feature requests, and task management within repositories.

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.

Delegate bounded coding tasks to the Kimi Code CLI, then review and land the diff yourself. The orchestrator writes a brief, dispatches the headless Kimi implementer, awaits completion, verifies the resulting changes, and commits only after gates pass.

Lambda is a compact, machine-native communication protocol specifically designed for agent-to-agent (A2A) messaging. It functions as a shared, unambiguous vocabulary built from 'atoms' (2-character codes), completely bypassing the need for human natural language interpretation. It is ideal for orchestrators, task delegation, and logging structured coordination signals (like heartbeats or state changes) in multi-agent systems. Crucially, Lambda is intended only for machine communication, not for user-facing dialogue.

Manage tasks with the YYLO Ledger CLI: create, list, search, get, mark, update, archive and merge tasks with dependency tracking, ready ordering, cold archive packs and opt-in cross-project routing.

Automates Linear issues, projects, cycles, labels, comments, and GraphQL workflows through Rube MCP’s Composio toolkit so teams can manage states, tasks, and custom queries without juggling direct APIs.

Automate LinkedIn tasks via CLI: fetch profiles, search people and companies, send messages, manage connections, create posts, react, and comment. Ideal for integrating LinkedIn workflows into automated pipelines.

Master core Linux administration tasks including package management, process control, filesystem handling, and scheduling. Essential for managing production servers, troubleshooting system issues, and maintaining infrastructure across Debian and RHEL distributions.

This skill provides production-ready shell script templates for common Linux system administration tasks such as backups, monitoring, user management, and log analysis. It serves as a foundation for security operations and penetration testing environments, requiring basic bash knowledge and appropriate system permissions.