Browse skills

Analyzes youth program materials for safety concerns, identifying risks related to supervision, activities, and participant well-being.

Generates robust Java code utilizing generics to ensure type safety and reduce boilerplate in backend applications.

Helps with Azure, AI, Java as part of deploying and managing cloud infrastructure workflows.

Helps with Azure, AI as part of deploying and managing cloud infrastructure workflows.

Helps with Azure, AI as part of deploying and managing cloud infrastructure workflows.

Helps with refactoring, testing as part of developing backend services and APIs workflows.

This skill automatically fixes common TypeScript type errors in your code, boosting development speed and ensuring robust type safety.

This tool automatically verifies if your code adheres to specified security policies and best practices, boosting development safety.

Ensures NASA TypeScript code adheres to strict type safety guidelines, preventing errors and improving reliability.

Ensures Python code using pv-udpv adheres to strict type safety for robust and reliable backend functionality.

Generates, analyzes, and refactors TypeScript code within existing projects, ensuring type safety and best practices.

Retrieve chemical properties, structures, and safety data from the PubChem database using natural language queries.

Enforcing Type Safety — provides AI agent assistance for software development workflows.

This Safety Checker verifies generated content for potentially harmful or inappropriate elements, ensuring safer and more responsible outputs.

Analyzes text reviews to identify potentially unsafe content like threats, hate speech, or illegal activity.

Provides database guidance and assistance for software development workflows.

This tool analyzes nickel concentration data to identify potential risks and ensure safe handling procedures for improved accuracy and safety.

Ensures AI outputs align with Anthropic's safety principles and legal requirements, minimizing risk and promoting responsible use.

Together Evaluations assesses large language model outputs for quality, safety, and alignment, streamlining evaluation workflows & improving LLM performance.

Retrieve chemical properties, structures, and safety data from the PubChem database using compound names or identifiers.

Provides the complete Swift Concurrency Migration Guide. Use when migrating to Swift 6, resolving data-race safety errors, understanding Sendable and actor isolation, or incrementally adopting async/a

Use this skill when designing, generating an MVP blueprint for, auditing, refactoring, or explaining an agentic harness for any domain. Covers provider-neutral agent architecture for OpenAI, Anthropic, and OpenAI-compatible APIs: agent loops, tool design, permissions, system prompts, planning, goals, context compaction, memory, skills, MCP/external connectors, observability, evals, prompt caching, agent-legible environments, feedback loops, and safety.

Reduce defensive writing in drafts and revisions by removing unnecessary caveats, disclaimers, hedges, apology-like framing, negative self-limiting statements, and over-explanations while preserving necessary scope, accuracy, safety, legal, ethical, and methodological limits. Use when drafting or revising academic writing, papers, essays, abstracts, introductions, contribution statements, discussions, conclusions, technical explanations, grant writing, product writing, policy writing, professional reports, or any text the user wants to be clearer, stronger, more direct, more concise, more confident, less verbose, less caveated, less apologetic, or less defensive.

This skill uses MyPy to enforce type hints in your Pytest tests, catching errors early and improving code reliability.