Loading...
Loading...
Found 1,718 Skills
Spring Boot 3 Java framework with enterprise patterns. Covers REST controllers, services, repositories, JPA entities, MapStruct mappers, Lombok, JWT security, Flyway migrations, and global exception handling. USE WHEN: user mentions "Spring Boot", "REST API", "enterprise Java", asks about "controller patterns", "service layer", "repository", "DTO mapping", "JWT auth", "Flyway", "MapStruct" DO NOT USE FOR: Spring Data JPA (use `spring-data-jpa`), Spring Security (use `spring-security`), Spring WebFlux (use `spring-webflux`), Spring WebSocket (use `spring-websocket`)
Flutter state management patterns — decision tree for setState, Provider, Riverpod, and BLoC with concrete examples and testing strategies
SERP-based semantic topic clustering for content architecture planning. Groups keywords by actual Google SERP overlap (not text similarity), designs hub-and-spoke content clusters with internal link matrices, and generates interactive visualizations. Optionally executes content creation if claude-blog is installed. Use when user says "topic cluster", "content cluster", "semantic clustering", "pillar page", "hub and spoke", "content architecture", "keyword grouping", or "cluster plan".
Search Experience Optimization: reads Google SERPs backwards to detect page-type mismatches, derives user stories from search intent signals, and scores pages from multiple persona perspectives. Identifies why well-optimized pages fail to rank by analyzing what Google rewards for each keyword. Use when user says "SXO", "search experience", "page type mismatch", "SERP analysis", "user story", "persona scoring", "why isn't my page ranking", "intent mismatch", or "wireframe".
The ultimate YouTube creator skill. Covers channel audits, video SEO, retention-engineered scripts, hook writing, thumbnail briefs, content strategy, content calendars, Shorts optimisation, analytics interpretation, monetisation planning, competitor research, cross-platform repurposing, upload metadata packages, and data-driven video idea generation. Triggers on: "youtube", "channel", "video", "views", "subscribers", "watch time", "shorts", "thumbnail", "CTR", "retention", "monetize", "script", "hook", "upload", "youtube audit", "video ideas", "content calendar", "competitor analysis", "repurpose video", "youtube seo", "youtube strategy", "youtube analytics".
Hyperliquid DEX — trade perps & spot, deposit from Arbitrum, withdraw to Arbitrum, transfer between perp and spot accounts, manage gas on HyperEVM.
Query HTX USDT-M perpetual futures market data — contract info, funding rates, OI, klines, depth, liquidations, sentiment. Mostly public; 6 endpoints require read-permission API key.
8-Bit Orbit — Pixel-art neon arcade aesthetic on a deep navy void. Anything that should feel like a CRT screen at 2am: cyberpunk, gaming, web3, indie dev tools, hackathon demos.
End-to-end epidemiological data analysis — from research question to statistical report. Covers study design assessment, dataset discovery and download, data wrangling, confounder adjustment, regression modeling, sensitivity analysis, visualization, and biological interpretation. Integrates ToolUniverse tools for dataset discovery, literature search, and biological context with Python code execution for data analysis. Use whenever users ask to analyze health data, study disease risk factors, assess exposure-outcome relationships, or conduct observational epidemiology. Also use when users want to run regression on clinical/survey data, calculate odds ratios or hazard ratios from a dataset, adjust for confounders, or produce a Table 1. If the task involves downloading a health dataset and running statistical analysis on it, this is the right skill.
Teaches reasoning strategies for organic chemistry problems — reaction product prediction, spectroscopy interpretation, stereochemistry, and quantitative calculations. Use when users ask about reaction products, spectra, mechanisms, stereochemistry, or molecular formulas.
How to read experiment results without fooling yourself. Confidence intervals, p-values, multiple testing, sequential testing, CUPED, heterogeneous treatment effects, ratio metrics, network effects, dashboard reconciliation, and the interpretation failures that produce confidently wrong shipping decisions.
Explain what an existing SigNoz dashboard shows in plain operational language — the panels, queries, variables, and what to watch for on each. Make sure to use this skill whenever the user asks "explain this dashboard", "what does my [X] dashboard show", "walk me through the panels", "what should I watch for on this dashboard", or "help me understand this dashboard", or otherwise asks for an interpretation of a dashboard's contents — even if they don't say "explain" explicitly. Also use it when someone is onboarding to a service and wants to understand what its existing observability looks like.