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Found 989 Skills
Adversarial due-diligence on a benchmark you envy — a founder, KOL, company, or product whose claimed success you suspect is inflated. Inline four-phase orchestration — fan-out collection, adversarial verification grading every claim L1-L4 to split marketing bubble from real signal, attribution weighting (product vs timing vs IP vs luck, what's replicable), then mapping the validated playbook onto the user's own resources. Use whenever the user wants to 尽调/对标/拆解 a competitor or role-model, 抄/偷师 someone's playbook, suspects 水分/泡沫 in their claims (Product Hunt
Invoke the `groundcover` Go CLI to manage Groundcover resources (dashboards, monitors, silences, connected apps, notification routes, API keys, policies, integrations, pipelines, workflows) AND to answer production observability questions by querying logs, traces, metrics, k8s inventory, and k8s events. Use whenever a task needs an authenticated call against the Groundcover API or whenever the user is debugging a prod issue and asks things like "why is X erroring in prod", "show me logs for service Y", "what's the p99 latency on Z", "what pods are crashlooping", "search traces for slow requests", "any k8s events for namespace N", "is service S receiving traffic", "list groundcover monitors", "create a silence", "update notification route", "hit a groundcover endpoint". Covers required env vars, the SDK-backed vs raw command split, and concrete request-body templates for logs/traces/metrics/k8s so the CLI can be driven from anywhere.
Focused pattern for fetching data using URL parameters in Next.js. Covers creating dynamic routes ([id], [slug]) and accessing route parameters in server components to fetch data from APIs. Use when building pages that display individual items (product pages, blog posts, user profiles) based on a URL parameter. Complements nextjs-dynamic-routes-params with a simplified, common-case pattern.
Use when user says "send to Ray," "show in Ray," "debug in Ray," "log to Ray," "display in Ray," or wants to visualize data, debug output, or show diagrams in the Ray desktop application.
Apple HIG guidance for status and progress UI components including progress indicators, status bars, and activity rings. Use this skill when asked about: "progress indicator", "progress bar", "loading spinner", "status bar", "activity ring", "progress display", determinate vs indeterminate progress, loading states, or fitness tracking rings. Also use when the user says "how do I show loading state," "should I use a spinner or progress bar," "what goes in the status bar," or asks about activity indicators. Cross-references: hig-components-system for widgets and complications, hig-inputs for gesture-driven progress controls, hig-technologies for HealthKit and activity ring data integration.
Expert embedded Rust development for ESP32 microcontrollers using no-std, Embassy async framework, and the ESP-RS ecosystem (esp-hal, esp-rtos, esp-radio). Use when building, debugging, flashing, or adding features to ESP32 projects. Covers sensor integration (ADC, GPIO, I2C, SPI), power management (deep sleep, RTC memory), WiFi networking, MQTT clients, display drivers, async task patterns, memory allocation, error handling, and dependency management. Ideal for LilyGO boards, Espressif chips (ESP32, ESP32-S3, ESP32-C3), and any no-std Xtensa/RISC-V embedded development.
ALWAYS `render inertia: { key: data }` to pass data as props — instance variables are NOT auto-passed (only alba-inertia does that). Rails controller patterns for Inertia.js: render inertia, prop types (defer, optional, merge, scroll), shared data, flash, PRG redirects, validation errors. Use when writing controllers that load data, display records, or serve Inertia responses. CRITICAL: external URLs (Stripe/OAuth) MUST use inertia_location, NEVER redirect_to.
Detailed report for individual stocks. Generate a financial analysis report by specifying a ticker symbol. Displays valuation, undervaluation judgment, and shareholder return ratio (dividends + share repurchases).
Enables Claude Code to collaborate with OpenAI Codex CLI on Windows. Use this skill when the user wants to get a second opinion from Codex, compare approaches between Claude and Codex, or leverage both AI assistants for collaborative problem-solving. This skill supports both non-interactive mode (automatic response retrieval) and interactive mode (visual pane splitting with tmux).
Create and launch Solana tokens gasless on pump.fun via ClawPump. Swap SPL tokens via Jupiter, scan cross-DEX arbitrage on Raydium/Orca/Meteora, check agent fee earnings, view token leaderboard, search domains, and upload token images. Full Solana DeFi toolkit for AI agents — no gas, no wallet funding needed.
Creates and configures Home Assistant graph visualizations using history-graph, statistics-graph, mini-graph-card, and apexcharts-card with time ranges, aggregations, and multi-sensor support. Use when displaying sensor data over time, creating trend charts, comparing historical data, or building energy/climate/air quality dashboards.
Native UI integration for Electrobun desktop applications including ApplicationMenu, ContextMenu, system Tray, native dialogs, keyboard shortcuts, and platform-specific UI patterns. This skill covers creating application menus with submenus and accelerators, context menus triggered by right-click, system tray icons with menus, file/folder dialogs, message boxes, notification systems, global keyboard shortcuts, menu item roles, dynamic menu updates, platform-specific menu conventions (macOS menu bar, Windows system menu), drag-and-drop integration, and native theming. Use when implementing application menus, adding system tray functionality, creating context menus, showing file pickers, implementing keyboard shortcuts, displaying notifications or dialogs, or building platform-native UI experiences. Triggers include "menu", "tray icon", "context menu", "file dialog", "shortcuts", "accelerator", "native dialog", "system tray", "notification", "menu bar", or "right-click menu".