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Found 3,026 Skills
Find composition and state-lifting refactor opportunities in a React codebase. Audits for boolean-prop bloat, monolith components with variant explosion, sibling clusters that should share lego-brick subcomponents, render-prop slots that can't reach outside the box, and state synced between siblings via useEffect. Use when the user wants to improve react code, audit react components, find react refactor opportunities, run a react composition review, or asks "improve react", "audit react", "react architecture review".
Map, analyze, and redesign the systems behind product experiences. Part of the Intent design strategy system. Creates service blueprints, ecosystem maps, process architecture, and dependency diagrams. Understands how services, teams, tools, and data flows connect to produce (or fail to produce) user outcomes. Proposes structural changes to how products and services are organized. Trigger on: service blueprints, system maps, process architecture, actor/role mapping, dependency analysis, cross-functional workflows, operational design, "how does this system work?", "what breaks when X happens?", "map out the service", "where are the dependencies?", or any question about the structural machinery behind a product experience. Use this skill broadly — whenever someone needs to understand or redesign how a system works, not just what a user sees.
Use for tasks that may need brief clarification before implementation but don't warrant a full plan. If clear, dispatches an implementer immediately; if unclear, asks 1-3 questions, proposes an approach, gets approval, then dispatches. No plan file — lighter and faster than nash + stoudemire.
Run a comprehensive technical SEO audit covering crawlability, indexability, rendering, site architecture, structured data, page experience, security, and internationalization. Use this skill whenever the user asks about technical SEO, crawl issues, indexing problems, sitemaps, robots.txt, canonical tags, schema markup, page speed, Core Web Vitals, hreflang, redirects, or site-wide search performance. Triggers on technical SEO, site audit, crawlability, indexability, sitemap, robots.txt, canonical, redirect chain, schema, JSON-LD, Core Web Vitals, page speed, hreflang, mobile usability, HTTPS, security headers, render-blocking, JavaScript SEO. Also triggers when a site has indexing problems, traffic drops, or migration concerns, even if 'technical SEO' is not said explicitly.
Initialize evo for the current repository by exploring the codebase, proposing unexplored optimization dimensions, constructing the benchmark inside a baseline worktree, and running the first experiment. Use when the user invokes /evo:discover, mentions setting up evo, wants to instrument a codebase for autonomous optimization, or asks to start a new evo run on a project.
Leverage the traffic keyword reverse lookup capability of SellerSprite to query indicators such as keyword traffic sources, traffic proportion types, conversion types, organic positions, and ad positions by ASIN. It supports historical months and multi-dimensional sorting. This skill is triggered when users mention terms like ASIN reverse lookup traffic keywords, traffic keyword lists, keyword traffic structure, organic/ad keyword analysis, keyword conversion types, SellerSprite traffic keyword, Amazon traffic keywords, or reverse ASIN keywords. Even if users do not explicitly mention "SellerSprite", this skill should be triggered as long as the requirement is to view the keyword traffic sources and keyword list of a specific ASIN.
Comprehensive testing doctrine for software and AI systems — covers positive patterns, anti-patterns, gates for coding agents writing tests, CI discipline, and an LLM/agent evaluation primer. Use when authoring or reviewing tests, adding mocks, deciding test placement, generating tests via agents, debugging flaky CI, designing eval suites for LLM features, or rebuilding a brittle test suite. Contains 12 positive patterns (selector hierarchy, table-driven, builders, real-system gates), 25 anti-patterns across Brittleness, Flakiness, Mock-misuse, Process, and AI-specific families, 7 mandatory gates for agents writing tests, flaky-test taxonomy with quarantine workflow, contract / property / mutation testing patterns, and an oracle-ladder primer for LLM-as-judge and agent eval. Language-agnostic — pseudo-code only. Don't use for general code review, library-specific debugging unrelated to tests, non-testing CI pipeline design, or production observability.
Controls a running iOS, iPad, or Apple Watch Simulator via the serve-sim CLI (npx serve-sim) and streams it into the host agent's preview pane. Use whenever the user wants an AI agent to view or drive an Apple Simulator — streaming to preview, taps at normalized coordinates, multi-touch gestures, hardware buttons, rotation, memory warnings, CoreAnimation debug, synthetic camera injection, media drag-drop, or managing app privacy permissions. Triggers include "serve-sim", "iOS simulator", "Apple simulator", "iPad simulator", "Apple Watch simulator", "stream the simulator", "show the simulator in preview", "view the simulator here", "open simulator in preview", "simulator gestures", "tap on the simulator", "rotate the simulator", "inject camera feed", "grant simulator permissions", "allow push notifications in the simulator", or any request to drive or display an Apple Simulator visually. Do NOT use for Android emulators, building/installing an iOS app (use xcodebuild), booting a simulator from scratch (use xcrun simctl boot), in-app React Native runtime debugging (use rn-debugger), or real iOS hardware.
Use when building micro-interactions between 100-200ms - tooltips appearing, dropdown opens, small feedback animations that feel quick but perceptible
Configures the rollout shape of a PostHog experiment — the variant split (50/50, 80/20, A/B/C ratios), the overall rollout percentage that gates how many users enter the experiment, and the disambiguation when a percentage like "roll out to 25%" could mean either. Use when the user mentions a rollout percentage, variant split, or traffic distribution; gives a ratio like 60/40, 70/30, or 80/20; asks "who sees the test variant?"; wants to increase, decrease, or change the rollout or split on a draft or running experiment; weighs equal vs uneven splits; or proposes a mid-experiment split change (often an anti-pattern that needs reset or end-and-restart).
Query PubChem, search by name/CID/SMILES, retrieve properties, similarity/substructure searches, bioactivity, for cheminformatics. Use when a user asks about a specific chemical, drug, or molecule.
Guides advanced short-term actuarial mathematics aligned with SOA ASTAM and P&C/health-adjacent modeling—severity and frequency distributions, aggregate and compound loss models, Bühlmann and Bühlmann-Straub credibility, ratemaking and experience rating, short-term reserving at the math level, MLE and goodness-of-fit, and risk measures (VaR, TVaR). Tool-agnostic and concept-first. Use when the user mentions advanced short-term actuarial mathematics, ASTAM, severity model, frequency model, aggregate loss, compound distribution, Bühlmann credibility, experience rating, ratemaking, pure premium, negative binomial frequency, tail factor, TVaR, or short-term actuarial models—not life contingencies (life-health-insurance), Excel workpapers only (actuarial-analyst), appointed actuary sign-off (actuary, appointed-chief-actuary), assumption governance (assumption-setting), P&C legal/operations depth (property-casualty-insurance), or general ML (data-scientist, quantitative-researcher).