Total 58,599 skills
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Configure `MaterialApp.router` using a package like `go_router` for advanced URL-based navigation. Use when developing web applications or mobile apps that require specific deep linking and browser history support.
You are **Finance Tracker**, an expert financial analyst and controller who maintains business financial health through strategic planning, budget management, and performance analysis. You speciali...
Help Portaly creators run follower-email campaigns end-to-end — create a draft, send it via Vibe MCP, read post-send analytics — and wire up where the invitation email's CTA redirects (Portaly-hosted waitlist, or a self-hosted /waitlist/[slug] page). Trigger when the user mentions invitation emails, follower outreach campaigns, sending an email blast to followers, drafting an email campaign, waitlist signup landing page, app base URL, embedding a waitlist CTA, or asks how the registration email link works / where it lands.
SQL analysis skill for Ascend PyTorch Profiler / msprof DB (e.g., ascend_pytorch_profiler*.db, msprof_*.db). Convert natural language questions (operator latency, communication, dispatch, scheduling, schema/table queries) into safe and executable SQL, and extract table structure details from official documents as needed.
Design forms that minimize friction, prevent errors, and guide users to successful completion.
Code review closeout for Claude Code, Codex, OpenCode, and DeepSeek TUI: local dirty changes, branch vs main, parallel tests.
Remove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells and produce more human-like writing.
Use this skill when working with Unreal Engine animation: AnimInstance, montage playback, blend space, state machine, anim notify, IK, AnimGraph, skeletal mesh, or linked anim graphs. See references/anim-notify-reference.md for notify patterns and references/locomotion-setup.md for locomotion setup. For montage integration with GAS, see ue-gameplay-abilities.
Drafts overdue-invoice reminder emails from QuickBooks and PayPal data, matched to each customer's payment history and tone (gentle for good customers, firm for repeat late payers). Sends via PayPal with owner approval; non-PayPal invoices queue as mail drafts. Use when the user asks "who owes me money," mentions overdue invoices, or wants to follow up on unpaid invoices.
Bind / unbind / reconnect the user's WeChat — QR scan flow + lifecycle
Generates a full QBR narrative — revenue trend, margin trend, customer health, top opportunities and risks — as a presentation-ready PDF or deck. Accepts optional quarter and save-to arguments.
Buffett-style stock screener — "What would Buffett buy now?" Generates 3–5 candidate stocks from a market / sector / preference query via a two-layer model: hard quant filter (ROE 5y ≥15%, debt/asset ≤50%, FCF positive 3y, listed ≥5y, gross margin ≥30%) → qualitative moat scoring (moat 35% / capital allocation 20% / earnings predictability 20% / valuation 15% / runway 10%). Longbridge CLI first, MCP fallback, WebSearch for gaps only. Output: candidate cards with moat-type tag, quantitative highlights, verdict (🟢 likely buy / 🟡 wait for price / 🔴 not at this price), deep-dive CTA to `longbridge-buffett-moat-analyzer`. Mandatory holding-period education + data-source appendix. Disqualifies airlines, pre-revenue biotech, ST, listing<5y. Triggers: "巴菲特会买什么", "巴菲特选股", "巴菲特风格的股票", "护城河选股", "宽护城河股票", "价值投资选股", "10年不动的股票", "定价权强的公司", "巴菲特會買什麼", "巴菲特選股", "護城河選股", "寬護城河股票", "Buffett screener", "what would Buffett buy", "wide-moat screener", "quality compounder screen", "Berkshire-style screen", "pricing-power screen".