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Found 1,410 Skills
Analyze inbound leads (form fills, demo requests) and score based on ICP fit, intent, and urgency. Auto-generates qualification questions, routes to right rep, and suggests personalized first touch. Use for qualifying and routing inbound leads at scale.
Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.
Use this skill for smart-money/whale/KOL/大户 signal/信号 tracking — monitoring what notable wallets are buying across the market. Covers: real-time buy signals from smart money, KOL/influencers, and whales; filtering by wallet type, trade size, market cap, liquidity; listing supported chains for signals. Use when the user asks 'what are smart money/whales/KOLs buying', '大户在买什么', 'show me whale signals', 'smart money alerts', or wants to follow notable wallet activity. Do NOT use for meme/pump.fun token scanning — use okx-dex-trenches. Do NOT use for individual token holder distribution — use okx-dex-token.
Use this skill for meme/打狗/alpha token research on pump.fun and similar launchpads: scanning new token launches, checking developer reputation/开发者信息 and past rug pull history, bundle/sniper detection/捆绑狙击, bonding curve status, finding similar tokens by the same dev, and wallets that co-invested (同车/aped) into a token. Use when the user asks about 'new meme coins', 'pump.fun launches', 'trenches', 'trench', 'scan trenches/扫链', 'check dev reputation', 'bundler analysis', 'who else bought this token', '打狗', '新盘', or '开发者信息'. Do NOT use for market-wide whale/smart-money signals — use okx-dex-signal. Do NOT use for per-token holder distribution or honeypot checks — use okx-dex-token.
Create and scaffold new skills with proper frontmatter, directory structure, and validation. Use when the user asks to build a new capability, integrate a new API, or extend the system with a repeatable workflow.
Use this skill when the user asks to scan a transaction, check transaction safety, is this transaction safe, pre-execution check, security scan, tx risk check, check if this approve is safe, scan this swap tx, is this token safe, check token security, honeypot check, is this URL a scam, check if this dapp is safe, phishing site check, is this signature safe, check this signing request, check my approvals, show risky approvals, revoke approval, token authorization, ERC20 allowance, Permit2, or mentions transaction security scanning, token risk scanning, DApp/URL phishing detection, message signature safety, pre-execution risk analysis, malicious transaction detection, approval safety checks, or token approval management. Covers token-scan (batch token risk detection), dapp-scan (URL/domain phishing detection), tx-scan (EVM + Solana transaction pre-execution), sig-scan (EIP-712/personal_sign message scanning), and approvals (ERC-20 allowance and Permit2 authorization queries). Chinese: 安全扫描, 代币安全, 蜜罐检测, 貔貅盘, 钓鱼网站, 交易安全, 签名安全, 代币风险, 授权管理, 授权查询, 风险授权, 代币授权. Do NOT use for wallet balance, send, or history — use okx-agentic-wallet. Do NOT use for general programming questions about security.
Work with PCB designs in the Zener hardware description language. Use when writing or editing `.zen` files, building schematics, searching for components or Zener packages, reading datasheets with `pcb scan`, or reading/updating KiCad `.kicad_sym` symbol metadata.
This skill should be used when the user encounters an HTTP 402 Payment Required response, wants to pay for a payment-gated API or resource, or mentions 'x402', 'pay for access', '402 payment', 'payment-gated URL', or 'sign x402 payment'. Primary path signs via TEE with a wallet session (JWT); fallback path guides local EIP-3009 signing with the user's own private key if they have no wallet. Returns the payment proof (signature + authorization) that the caller can attach as a payment header to access the resource. Do NOT use for swap or token transfers — use okx-dex-swap instead. Do NOT use for wallet balance or portfolio queries — use okx-agentic-wallet or okx-wallet-portfolio. Do NOT use for security scanning — use okx-security. Do NOT use for transaction broadcasting — use okx-onchain-gateway. Do NOT use for general programming questions.
Explore any codebase from scratch and generate six quality artifacts: a quality constitution (QUALITY.md), spec-traced functional tests, a code review protocol, an integration testing protocol, a multi-model spec audit (Council of Three), and an AI bootstrap file (AGENTS.md). Works with any language (Python, Java, Scala, TypeScript, Go, Rust, etc.). Use this skill whenever the user asks to set up a quality playbook, generate functional tests from specifications, create a quality constitution, build testing protocols, audit code against specs, or establish a repeatable quality system for a project. Also trigger when the user mentions 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', 'coverage theater', or wants to go beyond basic test generation to build a full quality system grounded in their actual codebase.
AI-powered codebase security scanner that reasons about code like a security researcher — tracing data flows, understanding component interactions, and catching vulnerabilities that pattern-matching tools miss. Use this skill when asked to scan code for security vulnerabilities, find bugs, check for SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, access control issues, or any request like "is my code secure?", "review for security issues", "audit this codebase", or "check for vulnerabilities". Covers injection flaws, authentication and access control bugs, secrets exposure, weak cryptography, insecure dependencies, and business logic issues across JavaScript, TypeScript, Python, Java, PHP, Go, Ruby, and Rust.
Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.
Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.