Skill UI

This skill enables the configuration and optimization of Windsurf's Supercomplete AI-powered code suggestions. Supercomplete provides intelligent, context-aware suggestions that significantly enhance developer productivity, going far beyond traditional autocomplete. Use this skill when setting up, customizing, or optimizing your code completion environment within the Windsurf IDE.

This skill provides AI-powered assistance for advanced terminal operations within development environments. It helps users execute complex commands, suggests completions, explains cryptic error messages, and generates optimized shell scripts. Use it when you need advanced shell scripting help, command suggestions, or debugging support in your command-line interface (CLI) workflow.

This skill monitors the performance of Claude Code and the local operating system. It diagnoses slowdowns, measures CPU/RAM/Disk usage, checks API latency, and generates detailed system health reports. It helps determine if the bottleneck is local hardware or the remote API connection, providing actionable corrective suggestions to improve the development workflow.

This skill is designed to retrieve and display detailed usage metrics for GitHub Copilot within organizations and enterprises. Users can analyze adoption rates, total suggestions, acceptance rates, and chat interactions, broken down either by the entire organization/enterprise or on a per-user basis. It supports querying data for specific historical dates using GitHub CLI and REST API.

Use this skill to easily submit feedback, report bugs, or provide suggestions for the Nexu platform. Simply use `/feedback <message>` in the chat. The system automatically gathers the conversation history and any attached images, ensuring comprehensive and convenient reporting without manual copying or pasting.

This skill implements comprehensive observability (metrics, logging, and alerting) for Grammarly API integrations. It monitors critical performance indicators such as text check latency (p95), API error rates, suggestion acceptance rates, and token consumption. Use this setup when establishing robust monitoring systems, tracking real-time API performance degradation, or implementing proactive alerting to ensure consistent, high-quality user experiences in writing and editing flows.

This skill provides comprehensive analysis and improvement suggestions for plugin prompts, skill definitions, and command instructions. It evaluates content across five dimensions—clarity, safety, effectiveness, completeness, and conciseness—providing a detailed score card and concrete, actionable rewrites to ensure compliance and optimal AI performance.

This skill provides comprehensive code reviews, helping users assess code quality, identify various potential issues (syntax, logic, security, performance), and receive actionable suggestions for improvement. It generates a detailed, structured report covering a summary, found issues, and quality metrics.

This skill is designed to assist developers in debugging complex code issues. It analyzes detailed error messages, stack traces, and common error types (like TypeError or ReferenceError) to accurately pinpoint the root cause of bugs. It provides a structured, step-by-step report including specific fix suggestions and proactive prevention strategies.

Generate professional, ATS-optimized CVs and resumes by consolidating data from multiple sources (LinkedIn, GitHub, Portfolio). This skill tailors your content to specific Job Descriptions (JD), adapts tone based on seniority, and outputs paste-ready plain text optimized for tools like FlowCV or Canva. It also provides a detailed ATS flaw report and actionable improvement suggestions.

This skill reviews code changes against accepted Architecture Decision Records (ADRs) to detect violations, drift, and non-compliance. It helps ensure that code modifications respect the architectural decisions agreed upon by the team. Use it before merging PRs or during periodic compliance checks. The process involves analyzing diffs, searching for relevant ADRs, checking constraints, and generating a compliance report with suggestions for violations.

This skill reviews a single Markdown troubleshooting note to assess its clarity and completeness. It is designed to identify unclear steps, missing prerequisites, or unverifiable claims within a provided note. Use it when a user asks for feedback to improve an existing troubleshooting document. It provides concise, actionable rewrite suggestions without making any external changes or edits.