Skill UI

This Python SDK enables hierarchical file system operations for Azure Data Lake Storage Gen2. It supports file and directory management, data upload/download, access control, and async processing for big data analytics workloads. Ideal for developers managing cloud storage infrastructure.

This Python SDK enables management of Azure Storage File Shares for SMB scenarios. It supports creating, listing, and deleting shares, directories, and files. Features include upload, download, copy, and snapshot operations with both sync and async clients. Ideal for cloud-native applications requiring secure file access via Entra ID or connection strings.

Python SDK for Azure Queue Storage, supporting reliable message queuing, task distribution, asynchronous processing, authentication, and queue message operations.

Orchestrate comprehensive backend feature development from requirements gathering to production deployment. This workflow coordinates multi-phase delivery across teams, managing architecture, implementation, testing, and rollout strategies. It supports various methodologies like TDD and DDD, ensuring quality and consistency throughout the lifecycle. Ideal for complex projects involving multiple services and deployment strategies.

Extract text and data from many files at once with shared config, per-file overrides, bounded parallelism, and error recovery. Supports PDFs, DOCX, XLSX, and more, with JSON or text output for LLM ingestion.

This skill enables modeling agent mental states using BDI architecture. It transforms RDF context into beliefs, desires, and intentions, supporting cognitive reasoning and explainability in multi-agent systems. It facilitates formal cognitive structures for LLMs and tracks temporal evolution of mental states through ontology patterns.

Extract structured domain knowledge from AI models in-session or via Ollama, with quality scoring, search, export, and local model support. No API key needed for closed models.

This skill provides a methodical approach to system performance troubleshooting and root-cause analysis using Brendan Gregg's USE and TSA methodologies. It guides users through evidence-backed investigation steps, from initial triage to detailed thread state analysis, ensuring every claim is supported by metrics. Ideal for SREs and DevOps engineers debugging latency, CPU, memory, or network issues on Linux systems, culminating in structured RCA reports or postmortems.

Drive an existing authenticated browser via CDP for visual, interactive, and JavaScript-heavy web automation, with screenshots, clicks, tabs, and remote browser support.

This skill runs Bumblebee scans on macOS/Linux to detect compromised packages, extensions, and configurations. It supports baseline, project, and deep scan profiles to identify supply-chain vulnerabilities and incident response needs without modifying the system.

This skill specializes in creating comprehensive C4 code-level documentation for software projects. It analyzes code directories to generate detailed function signatures, arguments, dependencies, and structural information. It supports various programming paradigms including Object-Oriented, Functional, and Procedural code by producing appropriate Mermaid diagrams like class diagrams and flowcharts. Use this when you need to document internal code structures, visualize component relationships, or establish best practices for code-level documentation within a specific directory.

A multi-CLI job-search command center designed to streamline the recruitment process. Users can evaluate offers, scan portals, tailor CVs, track applications, and prepare for interviews. Supports modes for offer analysis, interview practice, cover letter generation, and regional calibration. Ideal for professionals seeking efficient career management and automation.