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Found 8,970 Skills
Use this skill any time the user wants to build a website or landing page. This includes: product pages, portfolio sites, event pages, coming soon pages, pricing pages, company intro sites, personal blogs, signup pages, app download pages, and campaign pages. Also trigger when: user says 做个网站, 建个落地页, 做个产品页, 做个活动页, 做个个人主页. If a website or web page needs to be created, use this skill.
Use context-mode tools (ctx_execute, ctx_execute_file) instead of Bash/cat when processing large outputs. Triggers: "analyze logs", "summarize output", "process data", "parse JSON", "filter results", "extract errors", "check build output", "analyze dependencies", "process API response", "large file analysis", "page snapshot", "browser snapshot", "DOM structure", "inspect page", "accessibility tree", "Playwright snapshot", "run tests", "test output", "coverage report", "git log", "recent commits", "diff between branches", "list containers", "pod status", "disk usage", "fetch docs", "API reference", "index documentation", "call API", "check response", "query results", "find TODOs", "count lines", "codebase statistics", "security audit", "outdated packages", "dependency tree", "cloud resources", "CI/CD output". Also triggers on ANY MCP tool output that may exceed 20 lines. Subagent routing is handled automatically via PreToolUse hook.
Create accessibility testing plans covering assistive technologies and WCAG criteria.
Front-end development expert for this project. Responsible for handling all code writing, component modification, page construction and consulting tasks. **Please check if this Skill is loaded first** before handling related tasks; if not loaded, you **must** call it first. This Skill has built-in project-specific environment detection logic that automatically identifies the KWC LWC architecture (checks for .kd directory, etc.) and enforces mandatory development specifications (i.e., rule.md in this Skill's directory). Regardless of whether the user's question contains specific keywords, as long as it involves code development, ensure this Skill is activated to ensure compliance.
AI-assisted video editing workflows for cutting, structuring, and augmenting real footage. Covers the full pipeline from raw capture through FFmpeg, Remotion, ElevenLabs, fal.ai, and final polish in Descript or CapCut. Use when the user wants to edit video, cut footage, create vlogs, or build video content.
React Three Fiber 3D renderer for json-render. Use when working with @json-render/react-three-fiber, building 3D scenes from JSON specs, rendering meshes/lights/models/environments, or integrating Three.js with json-render catalogs.
Use when a migration is already known to stay on the LangChain agent side, including agent setup, tools, structured output, retrieval, and short-term memory.
Use when the user wants tool use, MCP access, HTTP or streaming API exposure, auto-function helpers, or wait-for-key behavior through Agently-native extension surfaces rather than custom wrappers first.
Integrate Circle Gateway to hold a unified USDC balance across multiple blockchains and transfer USDC instantly (<500ms) via permissionless deposit, burn, and mint workflows. Available on 11 EVM chains + Solana (mainnet and testnet), plus Arc testnet. Use when: enabling chain-agnostic user experiences, low-latency or instant next-block finality is required, capital needs to be pooled across chains for greater capital efficiency, or building apps with consolidated crosschain balances. Triggers on: Gateway, unified balance, crosschain USDC, instant transfer, chain abstraction, Gateway Wallet, Gateway Minter, gatewayMint, burn intent, crosschain liquidity, payment routing, capital efficiency, permissionless transfer.
Report a bug in the compound-engineering plugin
Structured debugging session — reproduce, isolate, diagnose, and fix. Trigger with an error message or stack trace, "this works in staging but not prod", "something broke after the deploy", or when behavior diverges from expected and the cause isn't obvious.
Fetch financial and market data using the yfinance Python library. Use this skill whenever the user asks for stock prices, historical data, financial statements, options chains, dividends, earnings, analyst recommendations, or any market data. Triggers include: any mention of stock price, ticker symbol (AAPL, MSFT, TSLA, etc.), "get me the financials", "show earnings", "what's the price of", "download stock data", "options chain", "dividend history", "balance sheet", "income statement", "cash flow", "analyst targets", "institutional holders", "compare stocks", "screen for stocks", or any request involving Yahoo Finance data. Always use this skill even if the user only provides a ticker — infer intent from context.