Skills
97,222 packaged capabilities and playbooks for agents. Install any of them with one command.
Testing & quality
Deep code audit skill for OpenHarmony/Chromium - focused on thread safety, lifetime management and logic flaws. Based on rigorous systems-level programming experience, deeply reviews C/C++ source code for: - thread safety issues (data races, deadlocks, cross-sequence access) - lifetime issues (UAF, dangling pointers, WeakPtr misuse) - OpenHarmony/Chromium-specific pattern risks - high-order security risks that static analysis tools cannot find. Core features: - extremely rigorous review style - follows 14 strict user-defined rules - generates structured JSON and Markdown reports - divides issues by team ownership
OWASP security guidelines and Top 10 vulnerabilities USE WHEN: user mentions "OWASP", "security audit", "vulnerability scan", asks about "injection", "XSS", "CSRF", "access control", "authentication security" DO NOT USE FOR: OWASP Top 10:2025 specific - use `owasp-top-10` instead
Guide performance profiling for Apple platform apps with Instruments, Xcode diagnostics, and MetricKit. Use when investigating app hangs, stutters, high CPU, memory leaks, memory growth, OOM crashes, slow launch, battery drain, thermal issues, App Store performance readiness, or when adding os_signpost and measurement hooks
Perform a rigorous, multi-agent code review with architecture-compliance, parallel quality/security analysis, finding validation, and severity audit. Use when the user asks for a structured, deep, thorough, multi-pass, or multi-agent code review — or a review that includes architecture/pattern compliance, confidence-scored findings, or a severity audit. Use when the user asks for a code review across a commit range, time window, or N most recent commits in a locally checked-out repo.
Pre-commit hooks framework for multi-language code quality automation. USE WHEN setting up pre-commit OR configuring git hooks OR adding linting OR code formatting OR security scanning OR Terraform validation OR Kubernetes manifests OR Helm charts OR Python linting OR JavaScript formatting. Manages .pre-commit-config.yaml, hook installation, and CI integration.
Onboard prek (Rust-powered pre-commit) into any project and suggest hooks tailored to the language/framework. Use when the user says "add prek", "set up pre-commit hooks", "configure prek", "what hooks should I use", or when you notice a project without a prek.toml that would benefit from pre-commit checks. Also trigger when the user wants to add new hooks to an existing prek.toml, audit their hook config, or migrate from pre-commit to prek. Covers Rust, Python, TypeScript/JavaScript, Go, Ruby, and Shell projects. Do NOT use for husky, lint-staged, or CI pipeline hook configuration — this skill is specifically for prek.
Reviews Rails pull requests, focusing on controller/model conventions, migration safety, query performance, and Rails Way compliance. Covers routing, ActiveRecord, security, caching, and background jobs. Use when reviewing existing Rails code for quality, conducting a PR review, or doing a code review on Ruby on Rails (RoR) code.
Read-only R code review protocol for `.R` scripts. Checks code quality, reproducibility, domain correctness, tidyverse idioms, and professional standards; produces a report without editing. Use when user says "review this R script", "check the R code", "audit the analysis code", "code review on the R", or when an R file is touched as part of a paper submission. NOT for running the code — pair with `/audit-reproducibility` for numeric verification.
Use when developing, editing, or testing a Roblox (Luau) game — the disk + Rojo + selene + Studio-MCP dev loop, the sync cycle, how to test with execute_luau/screenshots, and the engine gotchas that waste hours (200-local ceiling, stale-code syncs, duplicate-instance drift). Load at the start of any Roblox coding/testing task.
SDD step 5. Reviews the implemented feature code against language and framework best practices, checks for code duplication, security vulnerabilities, performance issues, test coverage, and alignment with feature.md acceptance criteria. Use after /sdd-implement or on any existing feature implementation.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Test engineer skill, responsible for software quality assurance and testing work. Applies to the following scenarios: (1) writing test cases and test plans (2) executing functional and regression tests (3) filing defects and tracking fixes (4) performing API testing and automated testing (5) executing user experience testing (6) analysing test results and quality assessment
AI-assisted debugging specialist with deep knowledge of modern debugging tools, observability platforms, and automated root cause analysis. Implements Cursor Debug Mode methodology — structured hypothesis ranking, targeted code instrumentation, human-in-the-loop reproduction gate, log-confirmed root cause, and mandatory cleanup.
Every task that touches a project—implementing, refactoring, diagnosing failed checks, running a project command, or writing a pull request body. The baseline discipline underneath specialized skills: keep changes scoped, run the format and lint loop, map what the change puts at risk, and find out how the project is actually run. Applies even when the request never mentions formatting, linting, comments, dependencies, docs, or descriptions, and when you need one of the project's operations—tests, dev server, build, lint, deploy—and must find it documented or ask. Change-loop practices own progression after results; the conduct baseline applies when a session touches nothing.
Expert guidance for Swift Testing: test structure, #expect/#require macros, traits and tags, parameterized tests, test plans, parallel execution, async waiting patterns, and XCTest migration. Use when writing new Swift tests, modernizing XCTest suites, debugging flaky tests, or improving test quality and maintainability in Apple-platform or Swift server projects.
Automatically suggest tests for new functions and components. Use when new code is written, functions added, or user mentions testing. Creates test scaffolding with Jest, Vitest, Pytest patterns. Triggers on new functions, components, test requests, testing mentions.
Automated web QA skill: analyzes a website or project, generates end-user use cases, derives a structured test plan, executes tests via Playwright browser automation, and produces a full HTML/Markdown QA report with screenshots and pass/fail results. TRIGGER this skill whenever the user asks to: test a website, run QA on a web app, check if a site works, find bugs on a site, validate a web project, create a test plan for a website, run functional tests, check a landing page, audit a web app for issues, test user flows — or any variation of \"проверить сайт\", \"протестировать сайт\", \"QA сайта\", \"тест веб-приложения\", \"найти баги на сайте\". Even if the user just says \"посмотри работает ли всё нормально на сайте\" — use this skill.
WordPress Playground review and development guidance. Use when reviewing Blueprints, Playground JSON setup flows, `@wp-playground/cli` usage, embedded Playground demos, reproducible bug repros, docs examples, or when user mentions "WordPress Playground", "Blueprint", "playground.json", "run-blueprint", "build-snapshot", "embed Playground", or "zero-setup repro". Helps review Blueprint design, local Playground workflows, demo reliability, and reproducible WordPress environments.
Use when creating new skills, editing existing skills, auditing skill quality, converting skills to markdown conventions, or verifying skills before deployment. Triggers include skill authoring requests, skill review needs, or "the skill doesn't work" complaints.
Use this skill when building or reviewing frontend components for accessibility compliance. Covers WCAG 2.2 AA standards including semantic HTML, keyboard navigation, ARIA patterns, focus management, screen reader support, and form accessibility. Apply when creating new UI components, fixing accessibility bugs, adding skip links or focus traps, or ensuring inclusive markup — even if the user doesn't explicitly mention "a11y" or "WCAG."
Alibaba Cloud content moderation and AI guardrails automated testing. Tests sample content against moderation APIs, compares multiple services, tracks requestId/traceId, supports manual annotation, deep false-negative analysis, cross-batch comparison, AI guardrails testing (prompt injection, sensitive data, jailbreak), and generates alignment reports. Use when user asks about content safety, moderation testing, moderation strategy, label configuration, content review, batch safety checks, miss analysis, AI guardrails, prompt injection detection, or safety guardrails testing.
Shared analysis-stage methodology for PDCA fix workflows: temporary-change permission and rollback gate, red-capable reproduction loop before hypothesis lists (user-pasted evidence excluded), instrumentation-debug with runtime-evidence-debug as default entry, analysis step skeleton (existence → research routing → phenomenon/locate/root-cause/upstream-eval/impact), mandatory analysis gate output block, and debug-verify loop. Parameterizes the post-analysis exit as {next-stage}. Referenced by PDCA hosts via frontmatter dependencies. Triggers — 「分析阶段核心」「分析核心」「临时改动门控」「红环门控」「打点调试门控」「调试验证闭环」「分析门控」 / analysis stage core, red-capable loop gate, temp-change gate, instrumentation debug gate, analysis gate output block, debug-verify loop.
Shared review framework that every domain reviewer (pci, oracle, gov, edtech, healthcare, mlops, etc.) MUST follow. Defines the output artifact (TM-{slug}.md), mandatory sections, severity scale, verdict format, the workflow scaffold (when-invoked, Step-0 read-inputs, HANDOFF), and the "domain heuristic vs generic check" boundary. Eliminates duplication across the ~30 reviewer prompts.
Audit a website or digital experience against its supplied source references for originality and plagiarism risk. Use when Codex must compare current or historical site output with reference pages, capture packs, screenshots, copy, brands, numbers, images, assets, videos, layouts, motion, or code; raise evidence-backed red flags; distinguish common visual grammar from distinctive copying; and propose concrete fixes without making unsupported legal claims.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.
