Skill UI

This skill provides guidance for implementing tasks using structured workflow patterns, specifically following Conductor's TDD (Test-Driven Development) workflow. It helps manage phase checkpoints, organize git commits, and execute rigorous verification protocols. Use it when adhering to a defined development plan, ensuring quality gates are passed, and managing the entire lifecycle from initial planning to final validation.

A comprehensive directory designed for discovering, researching, and comparing autonomous AI agents, frameworks, and tools across diverse ecosystems. This skill helps users map the current AI agent landscape, identify existing solutions, gather best practices, and pinpoint market gaps before initiating custom development or workflow design.

Denario orchestrates a multi-agent AI to automate research workflows, covering idea generation, methodology development, computational experiments, and LaTeX publication output.

This skill provides complete, programmatic integration with the protocols.io API v3, enabling advanced management of scientific protocols. Use it for the entire protocol lifecycle, including discovery by DOI or keywords, creating new protocols, managing steps and materials, coordinating collaborative development, organizing workspaces, and tracking experiments. It covers authentication, file handling, and discussion management, making it ideal for automated lab workflows and scientific documentation systems.

This guide provides a comprehensive walkthrough for developing and deploying Apify Actors. Actors are serverless, containerized applications designed for powerful tasks like web scraping, data processing, and complex automation. Learn the mandatory setup, template selection (Python, JS, TS), step-by-step development workflow, and crucial security best practices for building robust, production-ready data pipelines.

A comprehensive guide for managing secrets and environment variables throughout the entire development lifecycle, from local development to production. This skill covers secret leak auditing (detecting committed credentials), implementing robust rotation workflows, and integrating with industry-leading secret stores like HashiCorp Vault, AWS Secrets Manager, and Azure Key Vault. Essential for hardening CI/CD pipelines and ensuring compliance.

This comprehensive guide outlines a rigorous, human-in-the-loop engineering workflow for leveraging advanced AI agents to complete complex implementation tasks. It mandates defining clear completion criteria, decomposing work into manageable units, and strategically routing models (Haiku, Sonnet, Opus) based on task complexity. The workflow emphasizes continuous evaluation, regression testing, security review of invariants and edge cases, and strict cost discipline to ensure robust and reliable software development using AI assistance.

This model provides an engineering operational framework for teams that leverage AI agents to generate large volumes of code. It shifts the focus from simple syntax to process quality, robust architecture design, rigorous testing, and systematic risk control, ensuring the development of highly stable and reliable systems in AI-assisted environments.

Guidance for building infrastructure through the AWS Cloud Development Kit, helping developers define cloud resources in code and automate deployment workflows for CI/CD-friendly stacks.

This command guides the entire lifecycle of major feature development, providing a structured, multi-phase workflow. It helps users move a feature from initial concept (research) through planning, implementation, and progress tracking. Use it when you need to coordinate status, next steps, and phased delivery for complex features.

This skill outlines a comprehensive methodology for designing, building, and deploying robust LLM-powered applications. It covers assessing task-model fit, designing modular pipelines (acquire -> prepare -> process -> parse -> render), and managing state using file systems to ensure scalability and reliability in AI systems.

Varlock provides secure, default environment variable management, ensuring that sensitive secrets (like API keys and passwords) are never exposed in logs, terminal output, or the AI context. It validates environments, reads schemas, and executes commands in a secure manner, promoting best practices for handling secrets in modern development workflows.