consultant
Consults external AI models (100+ via LiteLLM) for complex analysis. Use for architectural review, security audit, deep code understanding, or when extended reasoning is needed. Runs async with session manageme...
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Consults external AI models (100+ via LiteLLM) for complex analysis. Use for architectural review, security audit, deep code understanding, or when extended reasoning is needed. Runs async with session manageme...
Investigates and fixes bugs systematically with root cause analysis. Use when asked to debug, troubleshoot, fix a bug, investigate an issue, or find why something is broken. Creates reproduction tests and verif...
Deep bug investigation using consultant agent. Identifies root causes and fix suggestions.
Analyze Claude Code sessions to learn what went right/wrong and suggest high-confidence improvements to skills. Use when asked to analyze a session, learn from a session, or review workflow effectiveness.
Deep code analysis using consultant agent. Identifies technical debt, risks, and improvement opportunities.
Provides comprehensive code review feedback based on best practices, style guides, and potential bug detection. Use when the user requests a code review, asks for improvements to code, or needs to ensure code q...
Analyzes React/Next.js code for performance bottlenecks, focusing on waterfalls, bundle size, and rendering efficiency.
A comprehensive guide and rule set for writing clean, performant, and maintainable React code.
Get the current observation from the OSWorld environment. Returns screenshot (base64 PNG) and accessibility tree (JSON).
Systematic debugging framework for any bug, test failure, or unexpected behavior. Use BEFORE proposing fixes. Triggers: "bug", "test failure", "flaky test", "debugging", "root cause", "investigate", "why is thi...
Query and explore logs in Grafana Loki via the logcli command-line tool. Use when a user asks to pull logs for analysis.
Query and explore distributed traces in Grafana Tempo. Use when a user asks to pull tracing data for analysis.
Comprehensive codebase audit with specialized reviewers. Generates actionable reports. Use when asked to "audit the codebase", "review code quality", "check for issues", "security review", or "performance audit...
Measures code structure metrics (coupling, cohesion, complexity, call graph). Use when analyzing code quality quantitatively, checking architectural health, or reviewing structural changes.
This skill should be used when the user asks to "review React hooks", "check useEffect usage", "optimize hooks performance", "design custom hooks", "refactor to use hooks", "remove unnecessary useEffect", "simp...
Use this skill when you need external perspective for code analysis, architecture advice, debugging guidance, or when stuck on complex problems. Executes Codex CLI in read-only mode for rapid consultation and s...
Production-grade observability stack with Prometheus metrics, Grafana dashboards, PromQL query language, alerting rules, and AI-powered anomaly detection for modern cloud-native applications
Analyze Entity Component System implementations for performance bottlenecks including entity iteration efficiency, system priority ordering, memory allocation patterns in hot paths (OnUpdate, rendering loops),...
Audit resource management including IDisposable pattern implementation, proper cleanup of OpenGL resources (buffers, textures, shaders, framebuffers), memory leak detection, resource lifetime management, and GP...
Ensure code quality using Luacheck linting and StyLua formatting. Covers common warnings, style rules, and auto-formatting. Use when checking code quality, fixing style issues, or preparing code for review. Tri...
Diagnose and fix bugs using evidence-based investigation. Requires runtime evidence before fixes—never guess based on code alone. Covers hypothesis-driven debugging, instrumentation logging, Lua errors, taint i...
Comprehensive quality analysis for WoW addons. Combines security, complexity, deprecation, and dead code analysis into a single audit workflow. Triggers: audit, quality, analysis, review, check, scan.
Setup Sentry Metrics in any project. Use when asked to add custom metrics, track counters/gauges/distributions, or instrument application performance. Supports JavaScript and Python.
Find and fix issues from Sentry using MCP. Use when asked to fix Sentry errors, debug production issues, investigate exceptions, or resolve bugs reported in Sentry. Methodically analyzes stack traces, breadcrum...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.