backend-testing
バックエンド(Rust/Tauri)のテスト実装とデバッグを行います。Rustのテスト作成、cargo testの実行、テストエラーの修正、Repository/Service/Facadeレイヤーのテストなどのバックエンドテスト関連タスクに使用します。
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バックエンド(Rust/Tauri)のテスト実装とデバッグを行います。Rustのテスト作成、cargo testの実行、テストエラーの修正、Repository/Service/Facadeレイヤーのテストなどのバックエンドテスト関連タスクに使用します。
PowerShell build automation tool for creating task-based build scripts. Use when Claude needs to create, modify, or troubleshoot psake build scripts (psakefile.ps1), automate builds for .NET/Node.js/Docker proj...
Start tmux sessions, send prompts to the CLI, capture output, and verify behavior using helper scripts. Use when testing the CLI, interactive mode, TUI components, or when the user mentions tmux sessions.
Generate and edit images using AI models (Gemini, OpenAI, BFL FLUX, or Poe). Use this skill when you need to create images from text prompts, edit existing images, or generate variations. Supports multiple prov...
Correlate content attributes with performance metrics across GA4, GSC, and SE Ranking. Identify what drives performance and build optimization hypotheses.
⚡ PRIMARY TOOL for: 'what's tested', 'find test coverage', 'audit test quality', 'missing tests', 'edge cases', 'test patterns'. Uses claudemem v0.3.0 AST with callers analysis for test discovery. GREP/FIND/GL...
⚡ PRIMARY TOOL for semantic code search AND structural analysis. NEW: AST tree navigation with map, symbol, callers, callees, context commands. PageRank ranking. ANTI-PATTERNS: Reading files without mapping, G...
Run multiple AI models in parallel for 3-5x speedup with ENFORCED performance statistics tracking. Use when validating with Grok, Gemini, GPT-5, DeepSeek, or Claudish proxy for code review, consensus analysis,...
Multi-agent code analysis orchestration using claudemem. Share claudemem output across parallel agents. Enables parallel investigation, consensus analysis, and role-based command mapping.
This skill should be used when the user asks about "Workers AI", "AI models", "text generation", "embeddings", "semantic search", "RAG", "Retrieval Augmented Generation", "AI inference", "LLaMA", "Llama", "bge...
⚡ PRIMARY TOOL for: 'why is X broken', 'find bug source', 'root cause analysis', 'trace error', 'debug issue', 'find where X fails'. Uses claudemem v0.3.0 AST with context command for call chain analysis. GREP...
⚡ PRIMARY TOOL for: 'what's the architecture', 'system design', 'how are layers organized', 'find design patterns', 'audit structure', 'map dependencies'. Uses claudemem v0.3.0 AST structural analysis with Pag...
Common patterns for extracting and combining analytics data from GA4, GSC, and SE Ranking. Includes API patterns, rate limiting, caching, and error handling.
⛔ INTERCEPT TRIGGER: Automatically invoked BEFORE Read 3+ files OR Glob with broad patterns. Validates whether bulk file operations should be replaced with semantic search. Prevents token waste from sequential...
⚡ AUTO-INVOKE when user asks: 'audit', 'investigate', 'how does X work', 'find all', 'where is', 'trace', 'understand', 'map the codebase', 'comprehensive'. MUST run BEFORE Read/Glob when planning to read 3+ f...
⚡ PRIMARY TOOL for: 'how does X work', 'find implementation of', 'trace data flow', 'where is X defined', 'audit integrations', 'find all usages'. Uses claudemem v0.3.0 AST with callers/callees analysis. GREP/...
Interpret GA4, GSC, and SE Ranking data for content optimization. Provides benchmarks, status indicators, and actionable insights.
⚡ PRIMARY TOOL for: 'comprehensive audit', 'deep analysis', 'full codebase review', 'multi-perspective investigation', 'complex questions'. Combines ALL detective perspectives (architect+developer+tester+debug...
Reference guide for using PROXY_MODE with external AI models. Use when running multi-model reviews, understanding which agents support PROXY_MODE, or debugging external model integration issues.
Intelligently debug and fix bugs with a repro-first approach. Use when the user reports a bug, unexpected behavior, or asks to fix an issue. Establishes reproducible test cases before fixing.
Read project documentation from ./docs with access logging. Use when you need to consult documentation, understand architecture, or learn about project components. Tracks doc usage and helpfulness.
Provides guidelines and principles for bridging the gap between simulated robotics environments and real-world hardware deployment in Physical AI.
Generate working Python/rclpy code examples for Physical AI & Humanoid Robotics textbook with tier-specific variants (Simulation/Jetson/Robot).
Vision-Language-Action model integration patterns for cognitive robotics with ROS 2.
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.