Browse skills

Assess LLM outputs based on provided criteria like accuracy, relevance, and safety, generating detailed feedback reports.

Enforces developer-defined safety guidelines and ethical boundaries within agent actions to prevent harmful outputs.

MoltGuard proactively identifies and mitigates potential vulnerabilities in your code by analyzing it for common security flaws, enhancing application safety.

This skill audits deep link contracts for compliance and potential risks, ensuring brand safety and accurate attribution tracking.

Provides Python guidance and assistance for software development workflows.

Analyzes Rust code to identify and resolve ownership and borrowing issues, ensuring memory safety and preventing data races.

Analyzes Rust code to identify trait implementations and suggest missing or optimal trait bounds for improved type safety.

This skill teaches you Zig programming, a modern systems language known for its safety and performance, helping you build efficient software.

Creates instant snapshots of macOS nodes for quick backups and restores, ensuring data safety and efficient system recovery.

Analyzes Rust code for linear type usage errors and suggests safe refactoring strategies to prevent memory unsafety.

Safely manages complex Rust unsafe code blocks, minimizing errors and ensuring memory safety within backend systems.

The Guardrails Reviewer analyzes your AI model’s outputs against predefined guardrails, ensuring safety and compliance – crucial for responsible AI deployment.

The Guardrails Writer generates effective AI safety prompts and guidelines, ensuring your models produce helpful and harmless outputs.

Kmp Networking analyzes network traffic patterns to identify potential security threats and optimize performance, boosting digital safety & efficiency.

Analyzes AI systems for potential safety risks, biases, and ethical concerns using jmsktm's proprietary methodology.

Analyzes job descriptions to identify potential occupational hazards and risks, offering valuable insights for safety planning & worker wellbeing.

Helps with Python, best practices as part of developing backend services and APIs workflows.

The Gleam Type System analyzes your code to enforce type safety and improve code clarity within Gleam projects – boosting reliability and maintainability.

This skill automatically hides potentially sensitive or risky "unsafe assertion" messages generated by AI, improving safety and privacy.

This skill prevents AI from generating responses containing potentially sensitive or inferable information about individuals, enhancing privacy and safety.

This skill intelligently handles complex function overloads and type constraints by applying conditional types, streamlining code and improving type safety.

Translates complex JavaScript code into equivalent TypeScript, leveraging advanced ES features for improved type safety and maintainability.

Analyzes Kotlin code to identify potential null pointer exceptions and suggests safe coding practices.

Analyzes Rust code's memory safety properties based on Hoare logic principles to identify potential issues.