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Found 9,307 Skills
Marc Andreessen-mode decision and productivity skill. A blunt, market-first operator that pressure-tests ideas, ventures, features, and career bets through Andreessen's actual frameworks — market dominates team and product; the only milestone that matters is product/market fit; bias to build over deliberate. Use when the user says 'andreessen', 'pmarca mode', 'should I build this', 'is there a market', 'are we at product/market fit', 'pmf check', 'pressure-test this idea', 'be brutal about this venture', 'market-first take', or wants a no-disclaimers, no-hedging, confidence-leveled verdict on whether something is worth pursuing. Also provides the 3x5-card + Anti-Todo personal productivity routine. Runs on a fixed anti-sycophancy operating prompt: leads with the strongest counterargument, never validates premises, uses explicit confidence levels, never apologizes for disagreeing. Not for polite brainstorming — this skill exists to tell you the market is dead when it is.
Guardião da qualidade de stories e critérios de aceite no SynkOS. Use esta skill quando o usuário pedir para validar uma story antes da implementação, revisar critérios de aceite, aprovar ou rejeitar uma story para o sprint, verificar se o "definition of done" foi cumprido, ou fazer perguntas como "a story X está pronta para implementar?", "os critérios de aceite são testáveis?", "o escopo está claro?", "o que está IN e o que está OUT dessa story?". Ative também para refinar stories com escopo ambíguo, garantir rastreabilidade entre story e objetivo de produto, e para revisão pós-implementação contra os critérios originais.
Create high-quality, secure, and performance-optimized Containerfiles (Dockerfiles) following best practices for multi-architecture builds, OpenShift/Kubernetes compatibility, and BuildKit cache optimization. Use when the user wants to: (1) create a new Containerfile or Dockerfile for any project (Python, Rust, Go, Node.js, .NET, or any language), (2) containerize an application with multi-stage builds, (3) optimize an existing Containerfile for security, performance, or image size, (4) review or improve container image build practices, (5) set up BuildKit cache mounts for package managers, (6) create OpenShift-compatible container images with non-root users and arbitrary UID support, (7) write a .dockerignore file, or (8) apply OCI LABEL standards.
HK IPO Subscription Analysis — A "Four-Dimensional Evaluation" framework to diagnose whether Hong Kong new stocks are worth subscribing (Pricing Rationality / Issue Quality / Market Timing / Fundamental Outlook). Outputs three-tier ratings: Recommend / Neutral / Avoid, plus prospectus highlights, risk warnings, and subscription references. It is retail-investor friendly with conclusions upfront. Covers three scenarios: in-depth evaluation of a single new stock, browsing recent IPO subscription calendars, and judging whether to chase newly listed stocks after missing the subscription. Prioritizes data from Longbridge CLI (ipo detail / ipo subscriptions / ipo wait-listing / ipo listed / peer-comparison / news / quote / kline / index-quote, etc.); uses MCP fallback for data missing from CLI; uses WebSearch as a last resort for data still unavailable (prospectus TAM, original cornerstone announcement, claw-back ratio, grey market price, underwriter industry ranking). **The report must end with a fixed "Data Source Details" appendix**, where every figure can be traced to line number + capture time + period. Only covers Hong Kong Main Board and GEM; does not involve US / A-share IPOs; must actively prompt leverage risks when margin financing (孖展) is involved. Triggers: "打新", "港股打新", "新股申购", "新股申購", "新股", "打新分析", "新股分析", "招股", "招股书", "招股書", "基石投资者", "基石投資者", "国际配售", "國際配售", "公开发售", "公開發售", "暗盘", "暗盤", "回拨机制", "回撥機制", "孖展", "新股盈亏", "新股盈虧", "次新股", "破发", "破發", "中签率", "中籤率", "新股几手", "新股幾手", "新股值不值得打", "新股能不能打", "港股 IPO 推荐", "港股 IPO 推薦", "近期港股新股", "HK IPO analysis", "hong kong IPO worth it", "HK new listing", "cornerstone investor", "prospectus highlights", "grey market premium", "subscription ratio", "claw-back", "margin financing IPO", "0700.HK", "09988.HK", "01024.HK"
ZOLOZ product integration and support specialist. Use this skill whenever the user mentions ZOLOZ, eKYC, RealID, Real ID, Connect, Face Capture, Face Compare, ID Recognition, ID Network, NFC Reader, CN Authority, AML screening, Deeper, RealDoc, GeoTrust Locator, or any identity verification / biometric / document recognition product from Ant Group. Also trigger when users mention ZOLOZ-related concepts like gateway signing, transaction IDs, checkresult, initialize API, metaInfo, ZLZFacade, ZLZRequest, or ZOLOZ Portal. This skill covers product questions, technical integration, API troubleshooting, SDK issues, Portal operations, and pricing — use it broadly for anything ZOLOZ-related.
Redis security guidance covering authentication (requirepass and ACL users), TLS, ACL-based least-privilege access control, restricting network exposure via bind and protected-mode, firewall rules, and disabling dangerous commands. Use when deploying Redis to production, defining ACL users for an application, configuring TLS connections, locking down a Redis instance behind a firewall, or auditing a Redis deployment for security hardening.
Professional resume builder with PDF export, ATS optimization, and analysis capabilities. Use when users need to (1) Create new resumes from scratch, (2) Customize/tailor existing resumes for specific roles, (3) Analyze resumes and provide improvement recommendations, (4) Convert resumes to ATS-friendly PDF format. Supports chronological, functional, and combination resume formats.
Implements and customize Syncfusion .NET MAUI DataGrid (SfDataGrid) for displaying tabular data. Use when working with MAUI data grids, SfDataGrid, tabular data display, data binding to grids, or column configuration. Covers editing cells, sorting, filtering, grouping, paging, exporting to Excel/PDF, row operations, selection, and summaries.
Build agentic UIs using AG-UI protocol with Pydantic AI (Python backend) and CopilotKit (React/Next.js frontend). Use when creating AI-powered applications that need bidirectional agent-UI communication, shared state between frontend and backend, human-in-the-loop workflows, tool-based generative UI, or predictive state updates. Triggers on requests involving CopilotKit hooks (useCoAgent, useCopilotAction, useCoAgentStateRender), pydantic_ai with ag_ui adapters, or building chat interfaces with backend AI agents.
Community skill for applying the Geist design system to Vercel-inspired UI across React, Next.js, Vite, Astro, Svelte, Vue, HTML/CSS, Tailwind, shadcn, and Radix surfaces. Use it for typography, spacing, color tokens, material treatment, component styling, app shells, dashboards, forms, tables, dialogs, empty/loading/error states, responsive layouts, and UI polish. This is a community-authored skill, not an official Vercel skill. Trigger when the user asks for Geist, Vercel-style UI, or generic clean, modern, premium, beautiful, polished SaaS/developer-product visual design where no other final visual system, brand direction, or art direction is requested. Do not trigger for non-visual frontend work such as bug fixes, data wiring, analytics, tests, build tooling, API/state changes, or behavior-only accessibility fixes unless the task also creates or materially changes rendered UI.
SOP for Vehicle Entry/Exit Operation Process of AIKE Smart Parking Open Platform (End-to-end Orchestration for Entry/Exit). This skill is applicable when users want to complete the full entry/exit of a vehicle, simulate the real physical entry/exit process, run through the entire link of 'Supplement/Capture Entry → Correction' or 'Exit Capture → Correction → Fee Inquiry → Payment', or ask questions like 'How does a vehicle enter/exits the parking lot?', 'Entry/exit process', 'Entry/exit SOP', 'How to move a vehicle into/out of the parking lot', 'Simulate vehicle entry/exit', or encounter stuck/debugging issues during entry/exit (e.g., vehicle fails to enter after capture or correction, capture returns error code 908, unsure how to proceed to the next step). This skill is a cross-domain orchestration layer that connects multiple commands from parking (supplement/correction/inventory), device (capture), and trade (fee inquiry/payment), and clarifies cross-command hard constraints (paired exit, capture device, channel release mode, token validity) and failure handling. Boundary: For querying a single record, checking on-site vehicles, locking vehicles, or calling a single command, please directly use the corresponding domain skills openydt-record / openydt-device / openydt-billing instead of this process skill.
Use when planning and synthesizing product/user research as a method-and-repository discipline — selecting the right method for the goal (generative interviews vs usability test vs concept test vs validation), computing method-based saturation/sample size with an explicit confidence level, or synthesizing coded observations into insights while flagging single-source anecdotes. Never fabricates user insight; an insight requires recurrence across independent participants. Distinct from product-team/ux-researcher-designer (persona/journey artifacts), product-discovery (discovery-sprint planning), and experiment-designer (live A/B) — this is the research-ops method + insight-repository layer.