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Found 9,315 Skills
Complete Polymarket playbook covering research and trading on the world's largest prediction market. Use this for ANY Polymarket task. Research triggers: finding events ("what's happening in politics", "show me election odds", "NBA finals odds", "BTC to 200k markets", "IPL / FIFA / UFC / F1 betting markets"), listing markets with filters, searching by keyword, reading orderbooks, mid prices, spreads, last trade prices, recent trades, open interest, volume, liquidity, and any user's positions/portfolio/PnL by address. Trading triggers: place a bet on YES or NO, buy/sell outcomes, limit orders (GTC/GTD), market orders (FOK/FAK), batch orders, cancel one/many/all orders, check and set on-chain USDC.e and CTF approvals, neg-risk (multi-outcome) markets, tick size handling (0.01/0.001/0.0001), and builder-code attribution. Covers all routes under /agent/polymarket/* (events, markets, search, orderbook, price, prices, spread, last-trade-price, trades, market/:id/open-interest|volume|liquidity|trades, user/:address/positions|trades|portfolio|pnl, order, order/market, orders, order/:id, order/:id/scoring, approvals, builder/*). Use when the user mentions Polymarket, prediction markets, event betting, binary outcomes, probability markets, YES/NO tokens, conditional tokens, or politics/sports/crypto/culture odds. Prerequisite: openfin-setup for trading.
Deep dive into LookML includes, refinements (layering), and project structure best practices. Essential for mastering Looker's object-oriented capabilities.
Diagnose surprising, negative, unstable, or ambiguous ML/AI experiment results and decide whether to debug implementation, rerun experiments, change metrics or baselines, revise the algorithm, narrow the paper claim, park, or kill a direction. Use this skill whenever results do not match expectations, a method fails, metrics conflict, seeds vary, baselines beat the method, plots look suspicious, or the user asks what to do next after experimental results.
Generic read-only fallback for any source opencli covers but this repo has no dedicated reader for — Yahoo Finance, Bloomberg, Reuters, Barchart, Eastmoney, Xueqiu, Sinafinance, Reddit, HackerNews, Substack, Medium, Weibo, Bilibili, Xiaohongshu, Zhihu, arXiv, Google Scholar, Apple Podcasts, Xiaoyuzhou, Spotify, YouTube, Weixin, Amazon, and more. Triggers: "use opencli to read", "grab the frontpage from hackernews", "read reddit r/wallstreetbets", "fetch Eastmoney hot stocks", "pull Xueqiu feed", "get Bloomberg markets headlines", "search arXiv for", any request to read from a site where a specialized skill does not exist but opencli does. FALLBACK — prefer twitter-reader, linkedin-reader, discord-reader, telegram-reader, or yc-reader when the source matches. READ-ONLY — never invoke write operations.
Estimate the intrinsic value of a public company using DCF, relative (peer multiple) and sum-of-parts (SOTP) methods, then triangulate to an implied share price with upside/downside versus the current market price. Use this skill whenever the user asks: "what is AAPL worth", "valuation of NVDA", "fair value of TSLA", "intrinsic value", "DCF for MSFT", "build a DCF", "discounted cash flow", "WACC", "terminal value", "implied share price", "upside to fair value", "is X overvalued/undervalued", "relative valuation", "peer comparison valuation", "EV/EBITDA target", "SOTP", "sum of the parts", "how much is [company] worth", "price target from fundamentals", "value this company", or any ticker in the context of computing intrinsic or relative valuation. Default to running ALL three methods (DCF + relative + SOTP-if-applicable) and presenting a blended implied price with a sensitivity table. Do not answer valuation questions from memory — always run the workflow.
Expert knowledge for Azure DevOps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing Boards/work items, pipelines, repos, Analytics/OData/Power BI, or Azure DevOps Server deployments, and other Azure DevOps related development tasks. Not for Azure Boards (use azure-boards), Azure Pipelines (use azure-pipelines), Azure Repos (use azure-repos), Azure Test Plans (use azure-test-plans).
Analyzes meeting transcripts and recordings to surface behavioral patterns, communication anti-patterns, and actionable coaching feedback. Use this skill whenever the user uploads or points to meeting transcripts (.txt, .md, .vtt, .srt, .docx), asks about their communication habits, wants feedback on how they run meetings, requests speaking ratio analysis, mentions filler words or conflict avoidance, or wants to compare their communication across time periods. Also trigger when users mention tools like Granola, Otter, Fireflies, or Zoom transcripts. Even if the user just says "look at my meetings" or "how do I come across in meetings" — use this skill.
Performs ARA Seal Level 2 semantic epistemic review on Agent-Native Research Artifacts, scoring six dimensions (evidence relevance, falsifiability, scope calibration, argument coherence, exploration integrity, methodological rigor) and producing a constructive, severity-ranked report with a Strong Accept-to-Reject recommendation. Use after Level 1 structural validation passes, when an ARA needs an objective epistemic critique before publication or release.
Design any user-facing experience end-to-end: task flows, multi-step workflows, navigation structures, onboarding, settings, search, content creation, collaboration, signup, checkout, dashboards, notifications, error recovery, and more. Handles cross-platform adaptation (mobile/web/TV/embedded), device-aware design, accessibility, interaction specifications, and multi-channel journey mapping. Trigger when designing user flows of any kind, mapping screen sequences, optimizing task completion, specifying interactions, designing navigation, or asking "how should the user experience X?" Use this skill broadly — any time someone is working through how a user moves through a product experience, this skill applies.
Operate on @draft facts — collaboratively refine them into precise, actionable @spec facts. Resolve ambiguities, fill gaps, eliminate contradictions, and sharpen labels until every fact is ready to implement. Use when asked to refine facts, clarify the spec, review facts for quality, or "work on facts" with the user.
This skill is to be used when users explicitly request "migrate LaTeX templates", "integrate old projects into ChineseResearchLaTeX", "apply old bids/papers/graduation theses/resumes to the current template", "organize Word/PDF/Markdown/scattered tex files into existing projects", or directly mention `transfer-old-latex-to-new`. The old alias `migrating-latex-templates` is also supported. This skill only migrates the main content to the content layer of the existing templates in the current repository; it must never modify the source code of public packages in `packages/`, nor modify the template styles or entry skeletons in `projects/`, and can only write to content files allowed to carry the main content in the target project.
Use the spark CLI to access the user's Spark email data - list emails, search by topic, read threads, check calendar events, find availability, look up contacts, and view team info. Use when the user asks about their emails, calendar, contacts, meetings, or scheduling.