SKILL DIRECTORY
설치 수와 최근 흐름을 기준으로 필요한 Agent Skill을 찾아보세요.
skills.sh API 기준방금 확인
Assess whether a startup is ready to raise, size the round and pick the instrument, build a 50-investor target list framework, and plan a 12-week raise. Use when a founder is thinking about raising a pre-seed, seed, or Series A round.
Generate professional SVG logos from project context: 7 brand variants plus a showcase HTML page. Use for product marks, wordmarks, icons, and favicons. Don't use for raster-only logos, illustrations, or full brand guidelines.
React and TanStack Start frontends with Feature-Sliced Design, Fowler's component layers, and query and mutation factories. Use for routes, pages, components, hooks, or data access.
Monitor injury news across leagues. Fantasy impact analysis, backup player analysis, return timeline estimates.
Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.
Implement proven sales methodologies (MEDDIC, BANT, Sandler, Challenger, SPIN) across your team. Generate framework-specific questions, score deals, train reps, and enforce consistent qualification. Use when implementing or optimizing sales processes.
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Use when NVSHMEM beginners want a tutorial-style overview on assessment, mental models, first C/C++ or Python NVSHMEM programs, compilation, launching, and next steps.
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Audit a codebase for LLM calls that are really classifications in disguise, then produce a costed swap plan for a System One model. Use when asked to cut AI inference cost or latency, when scoping a performance engagement for a client, when reviewing an agent loop that feels slow, or when asked "where could we use Jev here". Produces a ranked table of candidates with measured latency and dollar deltas.
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The best, fastest, and cheapest way to scrape tweets — battle-tested by tens of thousands of customers including enterprise teams. Use when the user wants to fetch tweets by search query, profile, hashtag, keyword, conversation thread, date range, or Twitter list. Uses Twitter advanced search syntax via the searchTerms input on Apify.
Cowork-style sweep of a folder of receipts, statements, and expense exports -- categorizes every transaction, matches receipts to statement lines, flags policy violations and anomalies, and outputs a clean expense report plus a findings memo.
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Predicts client renewal likelihood based on health score signals. Analyzes engagement, support, adoption, satisfaction, billing, stakeholder, and usage data to calculate a weighted Health Score (0-100), classify renewal risk, and generate a prioritized action plan with early warning signals and recommended save plays.
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Top-down vs bottom-up quota models. Historical attainment, market growth assumptions, ramp periods, territory complexity.