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Found 1,945 Skills
Name a business, product, or service and secure a matching domain. Use when brainstorming names, evaluating name quality, checking domain availability, choosing between name candidates, or planning a domain strategy. Covers naming frameworks, name-quality criteria, trademark basics, domain extensions, and the full name-to-domain pipeline. Trigger on "help me name my business", "name ideas", "find a domain", "business name", "product name", "domain name", "what should I call it", "naming strategy", "check domain availability".
Operate the Prelude Security platform CLI for continuous security testing (Detect) and endpoint posture monitoring (SCM). Manages endpoints, schedules tests, evaluates security control policies, integrates with EDR/XDR partners, and generates reports. Use when working with the `prelude` CLI or managing security infrastructure.
Skill for real-time traffic query and optimal self-driving route planning based on Amap. It provides real-time congestion information and fastest route recommendations by leveraging Amap Traffic Situation API and Route Planning API.
Use when "Dask", "parallel computing", "distributed computing", "larger than memory", or asking about "parallel pandas", "parallel numpy", "out-of-core", "multi-file processing", "cluster computing", "lazy evaluation dataframe"
Generate Arduino/embedded C++ code snippets and patterns on demand for UNO/ESP32/RP2040. Use when users request Arduino code for sensors, actuators, communication protocols, state machines, non-blocking timers, data logging, or hardware abstraction. Generates production-ready code with proper memory management, timing patterns, and board-specific optimization. Supports DHT22, BME280, buttons, I2C/SPI, EEPROM, SD cards, WiFi, and common peripherals.
Write newsletter subject lines for OpenEd Daily using 15 proven formulas + 10 Commandments evaluation. Generate 10+ options, select best through systematic criteria.
MixSeek Agent Skills collection for AI coding assistants. Provides workspace management, team configuration, evaluation setup, and debugging tools for MixSeek-Core.
Apply preferred toolchain and technology stack defaults: pnpm, Next.js, TypeScript, Convex, Vercel, Tailwind, shadcn/ui, Zustand, TanStack, Vitest. Use when setting up new projects, choosing dependencies, discussing stack decisions, or evaluating alternatives.
Prepare context for new conversations when session is lost or ending. Creates handoff documents that capture current state, progress, and next steps for seamless continuation.
Language-agnostic guidance for selecting and applying Gang of Four (GoF) design patterns to recurring object-oriented design problems. Use when deciding among design alternatives, evaluating applicability and tradeoffs, or refactoring rigid/conditional-heavy designs toward better extensibility and lower coupling. Do not use for trivial bug fixes, framework/tool setup, or tasks with no architectural decision. Any TypeScript examples are illustrative only and must be translated to the project's language and constraints.
Score each creator on a completed campaign across consistency, content quality, engagement rate, and brand alignment, then produce a ranked retention list for future campaigns. This skill should be used when grading creators after a campaign ends, evaluating influencer performance post-campaign, ranking creators by campaign performance, building a retention list of top creators, deciding which creators to rebook for the next campaign, scoring influencer deliverables after a launch, comparing creator performance across a campaign roster, auditing which creators delivered the most value, or tiering creators into re-engage versus one-and-done lists. For calculating engagement rates and benchmarking them by tier, see engagement-rate-calculator-benchmarker. For scoring niche fit before a campaign, see niche-fit-scorer. For building the full campaign report with ROI narrative, see campaign-roi-calculator-narrative-builder.
Evaluates and optimizes agent skills using a DSPy-powered GEPA (Generate/Evaluate/Propose/Apply) loop. Loads scenario YAML files as DSPy datasets, scores outputs with pattern-matching metrics, and optimizes prompts via BootstrapFewShot or MIPROv2 teleprompters. Also generates new scenario YAML files from skill descriptions.