coverage
Generate a code coverage report for the Pinhole Rust project. Use this when the user asks for coverage analysis, test coverage metrics, or wants to see which code is tested. Automatically runs tests with instru...
发现 data ai debugging 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Generate a code coverage report for the Pinhole Rust project. Use this when the user asks for coverage analysis, test coverage metrics, or wants to see which code is tested. Automatically runs tests with instru...
This skill should be used when users need to capture screenshots of web pages. It supports full-page screenshots, viewport-specific captures, responsive screenshots across multiple device sizes, and element-spe...
Use when analyzing code for performance bottlenecks, optimizing slow queries, reducing memory usage, or improving application speed. Identifies N+1 queries, inefficient algorithms, and caching opportunities.
Execute tests with coverage analysis using bmad-commands, identify coverage gaps, and suggest missing tests. This skill should be used for test execution and quality validation.
Multi-agent parallel investigation for complex JUCE problems. Use when troubleshooting fails after Level 3, problems require novel research, or user requests /research command.
Automatically applies when profiling Python performance. Ensures proper use of profiling tools, async profiling, benchmarking, memory analysis, and optimization strategies.
Use when investigating an issue whose origin is unclear, especially when symptoms appear far from the cause. Trigger cues - "bug", "unexpected behavior", "traceback", "why is this happening", "non-deterministic...
Use the Databuddy Node.js SDK for server-side tracking with batching, middleware, and deduplication. Use when implementing analytics in Node.js servers, API routes, serverless functions, or when you need server...
.NET static analysis and code quality tools. Use when configuring analyzers, fixing warnings, or enforcing code standards.
Analyze code quality, detect code smells, identify bugs, and provide improvement recommendations. Use when reviewing code, checking quality, analyzing complexity, or when user mentions code review, refactoring...
Perform in-depth codebase exploration at the start of a coding session. Builds comprehensive understanding of project structure, architecture, key components, and patterns.
Interactive guided tour of codebase
Integration guide for using detective skills across plugins. Maps agent roles from frontend, bun, and other plugins to appropriate detective skills. Developer agents should use developer-detective, architect ag...
Mobile game performance optimizer for canvas-based games. Analyzes game files for performance bottlenecks and applies cutting-edge 2024-2025 optimization patterns. - MANDATORY TRIGGERS: optimize, performance, F...
Consult Oracle (GPT-5 Pro) for complex debugging, architecture questions, or code review. Use when stuck on a problem, need a second opinion, or want deep analysis of code. Invoked when user says "ask the oracl...
Inline orchestration workflow for automated bug detection and fixing with Beads integration. Provides step-by-step phases for bug-hunter detection, priority-based fixing with bug-fixer, and verification cycles.
Inline orchestration workflow for code review with Beads integration. Provides comprehensive analysis of issues (bugs) AND improvements (recommendations), issue creation, priority-based fixing, and verification...
Inline orchestration workflow for code duplication detection and consolidation with Beads integration. Provides step-by-step phases for reuse-hunter detection, priority-based consolidation with reuse-fixer, and...
Inline orchestration workflow for dead code detection and removal with Beads integration. Provides step-by-step phases for dead-code-hunter detection, priority-based cleanup with dead-code-remover, and verifica...
MEMORY FIRST - Query memory BEFORE scanning any codebase. Use when encountering ANY problem, error, or task. Call "recall" FIRST, then scan codebase only if nothing found. Triggers: "check memory", "recall", "h...
Meta-skill for internal codebase exploration at varying depths (quick/deep/architecture)
Analyze runtime behavior, process boundaries, and IPC mechanisms to detect protocol drift risks and process lifecycle issues.
Use Databuddy feature flags for React, Node.js, and Vue applications. Use when implementing feature flags, A/B testing, gradual rollouts, or user-targeted feature toggles.
Performance optimization, accessibility, and security best practices for React apps. Covers code-splitting, React Compiler patterns, asset optimization, a11y testing, and security hardening. Use when optimizing...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。