Skills
96,981 packaged capabilities and playbooks for agents. Install any of them with one command.
Testing & quality
Fix newly added optional parameters, optional React props, and optional type/interface members in Remotion monorepo diffs by converting internal APIs to required nullable values and updating call sites. Use when a PR, review, or user asks to forbid new `foo?: T` / `param?: T` additions except for exported or documented public APIs where requiring the value would be breaking.
Use this skill when testing a RevenueCat Android integration. Covers the RevenueCat Test Store (test_ API key prefix, in dialog Success/Fail/Cancel choice), mockk based unit testing with an interface wrapper around Purchases, and a GitHub Actions CI pattern. Avoids Google Play sandbox for day to day test iteration.
Find and fix WCAG 2.2 accessibility issues. Two modes — report (sweep a codebase or page, produce a prioritized written report, no edits) and fix (audit→edit→verify loop on a target). Prefers direct-CDP live-DOM auditing; falls back to HTML-string audits.
Elite CI/CD pipeline engineer specializing in GitHub Actions, GitLab CI, Jenkins automation, secure deployment strategies, and supply chain security. Expert in building efficient, secure pipelines with proper testing gates, artifact management, and ArgoCD/GitOps patterns. Use when designing pipelines, implementing security gates, or troubleshooting CI/CD issues.
heaptrack memory profiler skill for Linux. Use when tracking heap allocations, finding memory leaks, measuring peak heap usage, identifying allocation hotspots, or comparing allocation behaviour between runs. Activates on queries about heaptrack, heap profiling, memory allocation analysis, heaptrack_print, allocation hotspots, or memory leak detection with heaptrack.
Code refactoring best practices based on Martin Fowler's catalog and Clean Code principles (formerly refactoring). This skill should be used when refactoring existing code, improving code structure, reducing complexity, eliminating code smells, or reviewing code for maintainability. Triggers on tasks involving extract method, rename, decompose conditional, reduce coupling, or improve readability.
Review custom components and layouts against shadcn design patterns, visual style conventions (Vega, Nova, Maia, Lyra, Mira), composition rules, design token usage, and Radix/Base UI composition patterns. Use PROACTIVELY after writing or modifying any custom UI component, page layout, or variant of a shadcn component. Use when the user says \"review this component\", \"check my spacing\", \"does this follow shadcn patterns\", \"audit this layout\", \"is this shadcn-idiomatic\", or shares a component for feedback. Catches spacing drift, hardcoded colors, missing data-slot attributes, inconsistent theme application, and composition anti-patterns that shipping-fast-with-AI tools often miss.
Review GitBook change requests from Claude Code by calling the GitBook REST API directly with curl (no CLI) — the reviewer-side companion to cr-create (the authoring side over the same API). Discover the change requests that need review (filter by who opened them, by space, or across a whole org), get the GitBook app link to review the diff, summarize what actually changed in a CR, then leave comments and optionally submit a review verdict (approve / request changes). Use this whenever someone wants to review docs change requests over the raw API (curl/HTTP), asks "what CRs are open / waiting on me / opened by <person>", "show me the change requests in <space>/<org>", "summarize what changed in this CR", "review this change request", "leave a comment on a CR", or "approve / request changes on a CR". For the authoring side (create a CR, push content, request reviewers, fix comments) over the API, use cr-create instead.
Run a sharp, prioritized design critique of a UI — a URL, a screenshot/image, or a component file — covering visual hierarchy, typography, spacing, color & contrast, motion, component states, responsiveness, accessibility, and brand consistency. Returns findings ranked from blocking to polish, each with a specific fix; can optionally apply the fixes to code. Use when the user asks to review/critique a design, page, screen, component, or screenshot, or to check craft/accessibility before shipping.
Run adversarial review on a PM artifact via the pm-critic sub-agent. Returns findings graded P0/P1/P2/P3 with a concrete fix suggestion per finding and a machine-readable status block. Use after producing a PRD, meeting recap, OKR set, persona, or any PM artifact you want stress-tested before it ships.
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.