Browse skills

Skill Vetter analyzes your AI agent’s outputs to identify potential issues like hallucinations or biases, ensuring more reliable and trustworthy responses.

This Skill Scanner quickly identifies potential issues within your code by analyzing its structure and dependencies, boosting development efficiency.

The Agentic Actions Auditor analyzes agent workflows for inefficiencies and potential issues, optimizing performance and ensuring reliable execution.

This Dynamic Debugger automatically identifies and fixes code issues in real-time, boosting development speed and reliability.

Analyzes code for potential bugs, style issues, and suggests improvements based on established best practices.

Skill Linter analyzes your text for potential issues like style inconsistencies and errors, ensuring cleaner, more professional output.

The MDR 745 Specialist skill provides detailed technical guidance and troubleshooting steps for specific MDR 745 issues, accelerating resolution & minimizing downtime.

Ruvnet's agent-code-review-swarm automatically identifies bugs, security flaws, and style issues in code via collaborative AI review.

The Skill Auditor analyzes your AI agent’s outputs to identify potential issues and areas for improvement, ensuring higher quality responses.

The Skill Auditor analyzes your AI agent’s interactions to identify potential issues and suggest improvements for better performance & user experience.

X402Lint analyzes text for potential issues and inconsistencies, ensuring higher quality content creation and reducing errors.

Analyzes website content & structure to identify SEO issues, accessibility problems, and potential improvements.

Analyzes Claude-generated code for potential issues like bugs and inefficiencies, boosting code quality and developer productivity.

This Escalation Handler automatically routes complex customer issues to specialized teams for rapid resolution and improved support efficiency.

Analyzes CivitAI model descriptions & images to identify potential issues like bias, safety concerns, or inaccurate tagging.

Agentlint analyzes your agents for potential issues like incorrect data types or missing fields, ensuring robust and reliable workflows.

This "Health Checks" skill verifies your AI agent's functionality and performance, ensuring smooth operation and identifying potential issues proactively.

Analyzes code for bugs, vulnerabilities, and style issues using advanced static analysis techniques.

This skill creates a reproducible log harness for debugging issues by systematically capturing and organizing relevant log data.

Analyzes code snippets for Claude, identifying potential issues like inefficiencies or security vulnerabilities to improve your prompts and outputs.

Periodically checks external services & APIs to proactively identify and resolve potential issues impacting agent performance.