rca-copilot-agent
AI-powered RCA Copilot for root cause analysis and incident explanation. Use when: (1) Building incident context retrieval from Neptune and DynamoDB, (2) Implementing evidence ranking and root cause candidate g...
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AI-powered RCA Copilot for root cause analysis and incident explanation. Use when: (1) Building incident context retrieval from Neptune and DynamoDB, (2) Implementing evidence ranking and root cause candidate g...
AI-powered PR Author Agent that transforms Observability Diff Plans into Pull Requests. Use when: (1) Generating instrumentation code from Scout Agent output, (2) Creating OTel configuration, correlation header...
AI-powered Telemetry Validator Agent that verifies instrumentation works in sandbox environments. Use when: (1) Validating OTel spans are emitted correctly, (2) Verifying correlation headers in Kafka messages,...
Next.js development tooling via MCP. Inspect routes, components, build info, and debug Next.js apps. Use when working on Next.js applications, debugging routing, or inspecting app structure. NOT for general Rea...
Expert guidance for creating, configuring, and using Claude Code hooks. Use when working with hooks, setting up event listeners, validating commands, automating workflows, adding notifications, or understanding...
Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when standard troubleshooting fails or wh...
Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions.
Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automa...
Systematically trace bugs backward through call stack to find original trigger
Local-first codebase search with lexical-first BM25 (89.9% Recall@5), multi-hop research, and built-in project memory. Use for architecture analysis, dependency mapping, code research, and finding patterns acro...
Comprehensive inclusion analysis of code, examining language, internationalization, assumptions, and who might be excluded. Thorough review for releases or major features.
Copilot agent that assists with bug investigation, root cause analysis, and fix generation for efficient debugging and issue resolution Trigger terms: bug fix, debug, troubleshoot, root cause analysis, error i...
Copilot agent that assists with performance analysis, bottleneck detection, optimization strategies, and benchmarking Trigger terms: performance optimization, performance tuning, profiling, benchmark, bottlene...
Copilot agent that assists with comprehensive code review focusing on code quality, SOLID principles, security, performance, and best practices Trigger terms: code review, review code, code quality, best pract...
Core development standards, patterns, and best practices for React and React Native projects. Use this when users need guidance on code quality (Biome, TypeScript), testing (Jest), project structure (Domain-Dri...
Grep/wc replacement for .runs artifacts. Use for: count, extract, Machine Summary, receipt reading, marker counts. Null-safe counting (REQ/NFR/QID/RSK markers), YAML block parsing, BDD scenario counting. Determ...
Expert guidance for debugging Next.js, React, and Playwright applications with modern tools and best practices.
This skill should be used when investigating .NET project dependencies, understanding why packages are included, listing references, or auditing for outdated/vulnerable packages.
Guide for debugging and performance optimization of EDS blocks including error handling, FOUC prevention, Core Web Vitals optimization, and debugging workflows for Adobe Edge Delivery Services.
Automated code review for quality, security, and best practices. Use when user asks for code review, quality analysis, or wants feedback on their code.
Expert UI/UX Next.js v16 với MiniMax M2.1 + MCP (understand_image, Chrome DevTools). Phân tích UI, redesign Shadcn/Tailwind, responsive, accessibility.
Deterministically compare wf_cycle runs as a Proof of Invariance step: compute metrics, score the double-run, and write canonical compare artifacts for the result_core outputs.
Validate and demonstrate Hackathon Zero Bronze tier end-to-end (Perception → Reasoning → Write-back) using a filesystem watcher + Obsidian vault + Claude Code skills. This skill should be used when the user ask...
Generate intelligent Python project documentation with UML class diagrams, architecture diagrams, and code analysis. Analyzes codebase structure to recommend and create appropriate visualizations for project ov...
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。