Skill UI

A comprehensive workflow for systematically reviewing medical evidence. It allows users to search databases for clinical studies, build curated citation collections, grade evidence using established frameworks like GRADE, and generate professionally formatted, structured reports in academic citation styles (e.g., AMA). Ideal for conducting literature reviews and supporting clinical research. This tool helps transform raw medical data into actionable, structured knowledge.

A specialized skill designed for agents to proactively identify, analyze, and strategize high-impact contributions within trending Open Source repositories. It systematically performs repository discovery, extracts targeted issues (like 'help wanted' or 'good first issue'), and conducts deep feasibility analysis (including mergeability and complexity). Finally, it generates a structured 'Contribution Dossier' with actionable plans, significantly accelerating the process of becoming a top-tier OSS contributor.

This skill enables the coordination of multiple specialized AI agents within a single session. It is designed for complex, multi-domain tasks such as comprehensive code reviews, security audits, or full-stack feature implementations. It coordinates expertise across various domains (backend, frontend, testing, architecture) to provide holistic analysis and actionable recommendations.

A sophisticated AI tool that coordinates multiple specialized agents (e.g., Security, Architecture, Performance) to provide comprehensive, multi-perspective code assessments. It goes beyond single-point reviews by managing context, running hybrid execution workflows, resolving conflicts, and synthesizing unified, actionable reports for high-quality code assurance.

Automates web application penetration testing by leveraging the penetration-tester plugin to scan OWASP Top 10 threats, suggest exploitation techniques, and produce actionable vulnerability reports for pentest or vulnerability assessment requests.

Conducts in-depth security audits across code, infrastructure, and configurations using the security-pro-pack toolkit to surface vulnerabilities, compliance gaps, and cryptographic weaknesses along with actionable remediation guidance.

This skill provides a rigorous framework for tackling complex software development tasks. It guides users to break down large features, refactoring efforts, or bug fixes into small, actionable, and independently verifiable steps. By focusing on clear outcomes, dependencies, and specific verification criteria, it ensures that the implementation process is structured, manageable, and traceable from start to finish.

Build single-file HTML playgrounds with controls, live preview, and prompt output so users can explore large visual or structural spaces and copy actionable prompts without leaving the browser.

This comprehensive guide teaches the best practices for writing effective, blameless postmortem reports following technical incidents. It provides a structured approach to documenting timelines, conducting root cause analysis (RCA), identifying systemic failures, and creating actionable follow-up items. Mastering this skill is crucial for fostering organizational learning and preventing future service disruptions.

A comprehensive collection of battle-tested, structured prompts designed to elevate interactions with Large Language Models (LLMs). Covers advanced use cases including expert coding reviews, system architecture design, performance analysis, technical writing, and creative brainstorming, ensuring high-quality, actionable AI output.

A comprehensive guide for diagnosing and resolving common technical errors in Retell AI voice agents. Covers issues such as 401 Unauthorized API keys, call failure formatting, function call timeouts, webhook event failures, and voice quality problems, providing actionable fixes and best practices for smooth implementation.

An advanced workflow orchestrator designed to perform multi-phase, deep-dive schema optimization on large datasets (e.g., BigQuery exports). It systematically analyzes schema structure, identifies unused or redundant fields, assesses potential impact, and generates a comprehensive, actionable report with recommended optimization strategies and estimated savings.