Browse skills

Ensures robust TypeScript code with strict type checking and error prevention, improving backend reliability.

This skill ensures your AI interactions stay on track by controlling both inputs and outputs, preventing irrelevant or harmful responses – boosting safety & focus.

Verifies text aligns with Anthropic's safety guidelines, flagging potential policy violations for review and mitigation.

Evaluates if a language model’s responses stay within defined boundaries, ensuring safety and relevance for reliable outputs.

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

Provides Azure guidance and assistance for software development workflows.

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.

Provides database guidance and assistance for software development workflows.

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.