Skill UI

Skillshare is a powerful CLI tool designed to centrally manage and synchronize AI skills and agents across dozens of diverse AI tools (e.g., Claude, Cursor, Windsurf). It provides a single source of truth for configuring complex AI workflows. Use it to initialize, install, sync, and audit skills and associated extras (rules, commands) both globally and per-project. It supports advanced features like content transformation (extensions) and CI/CD auditing pipelines.

Guides creating, altering, and validating Snowflake semantic views via the Snowflake CLI, covering connection setup, star-schema modeling, metadata comments/synonyms, temporary validation steps, and post-validation querying for reliable semantic layer delivery.

Provides an expert Spring Boot 4 testing guide that explains the test pyramid, slice annotations, AssertJ-centric assertions, MockMvcTester, RestTestClient, Testcontainers, and practical coverage goals.

A comprehensive CLI for managing the entire lifecycle of Windows applications. It handles initialization, building, packaging into MSIX, signing, debugging, and advanced UI automation via Microsoft UI Automation. Supports multiple modern frameworks including .NET, C++, Electron, Rust, and Flutter, streamlining the deployment process to the Microsoft Store.

Guides Copilot through the WorkIQ CLI/MCP server to fetch live Microsoft 365 data—emails, meetings, docs, Teams chatter, and people info—providing context, summaries, blockers, and follow-up recommendations for planning or action.

Acontext serves as a robust memory layer for production-grade AI agents. It provides persistent sessions, disk-based storage, and sophisticated learning spaces that distill complex conversations into reusable, structured skills. Users can manage the entire system—from project setup and login to skill uploading—via a powerful Command Line Interface (CLI) and API, significantly enhancing agents' contextual understanding and long-term knowledge retention.

A powerful utility for performing semantic searches across a large knowledge base of 105K+ skill cards. It allows users to find the most relevant skills based on natural language queries, supporting both Python API integration and Command Line Interface (CLI). This tool is zero-dependency and highly efficient for skill discovery and knowledge retrieval in development workflows.

A specialized toolkit designed for generating and validating research-only artifacts for Clinical Decision Support (CDS) systems. It supports evidence-profile generation, cohort analysis, survival modeling, biomarker evaluation, and governance documentation. IMPORTANT: This skill is strictly for aggregate research and documentation; it must never be used for patient care, diagnosis, or live clinical operations.

This skill generates safety-bounded draft structures and deterministic checks for various clinical, safety, and aggregate research reports (e.g., CSR, aggregate safety tables). It requires verified, de-identified, or synthetic source data, ensuring every generated claim is traceable to a source-fact manifest. IMPORTANT: This skill only creates drafts and checks internal consistency; it cannot diagnose, recommend treatment, or provide medical advice. All outputs are non-clinical and require qualified human review and sign-off.

An autonomous research agent that plans complex investigations using Directed Acyclic Graphs (DAGs). It executes sub-questions in parallel, performs gap analysis, and iteratively refines findings before synthesizing a comprehensive, structured report. Ideal for deep market analysis, academic literature reviews, or complex problem-solving requiring multiple data sources.

A comprehensive skill for building, operating, and automating complex, reproducible genomics workloads on the DNAnexus platform. It provides deep integration with the `dx` CLI, `dxpy` Python SDK, and workflow languages like Nextflow and WDL. Use it for data transfer, job monitoring, project automation, and ensuring secure, efficient execution of large-scale biological computations.

This skill provides a comprehensive framework for building, registering, debugging, and operating complex bioinformatics workflows on the Latch platform. It supports multiple industry-standard pipelines (Nextflow, Snakemake) and utilizes the Python SDK, CLI, and Latch Data/Registry. Use this when developing, deploying, or managing robust, data-intensive computational pipelines in a controlled environment.