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Found 269 Skills
Fast-track GTM value preview for new users. Runs gtm-analytics-audit and gtm-strategy back to back and outputs the top 5 tracking opportunities with business rationale and effort estimates. No implementation, no DOM changes. Just a clear answer to "what should I track and why". Trigger on - "quickstart", "what should I track", "show me tracking opportunities", "quick GTM overview", "I'm new to GTM", "where do I start".
Validate SKILL.md frontmatter and .feature-radar/ files against format rules. Runs validate.sh, reports errors/warnings, and auto-fixes issues. MUST use this skill after editing any SKILL.md or .feature-radar/ file — catches format bugs like the 1024-char description limit before they break skill registration. Use when: - User says "validate", "check format", "lint skills", "run validation" - You just edited a SKILL.md (description, name, or body) — run proactively - You created or modified files in .feature-radar/ — run proactively - Before committing changes that touch skills/ or .feature-radar/ - User asks "are my skills valid?", "verify skills", "check skill format" IMPORTANT: Use this proactively after ANY edit to skills/ or .feature-radar/ files, even if the user doesn't ask for it. Format validation prevents silent breakage.
Write contextual commits that capture intent, decisions, and constraints alongside code changes. Use when committing code, finishing a task, or when the user asks to commit. Extends Conventional Commits with structured action lines in the commit body that preserve WHY code was written, not just WHAT changed.
This is the main on-chain DeFi skill. Use it for ALL of the following: Strategy discovery: 'how to make money on-chain', 'any profitable strategies', '链上有什么赚钱机会', '有什么盈利机会', '有什么套利机会', '怎么赚钱', '有什么好的策略', '帮我理财', '有什么收益机会', 'yield opportunities', 'how to earn', 'investment strategy', 'DeFi 策略推荐', '有什么自动化策略', 'automated strategies', 'passive income on-chain'. Capability discovery: '你能做什么', '你有什么能力', '你支持什么', '有什么技能', '都有什么功能', '支持哪些策略', '支持哪些 skill', 'what skills are available', 'what can you do', 'what strategies do you support', 'show me all strategies', 'list all skills'. Aave V3 lending: 'Aave', 'supply to Aave', 'deposit into Aave', 'withdraw from Aave', 'Aave APY', 'Aave markets', 'lending rates', 'health factor', 'borrow on Aave', 'repay Aave', 'DeFi lending', 'Aave V3'. Morpho lending: 'Morpho', 'Morpho Blue', 'MetaMorpho vaults', 'Morpho lending rates', 'Morpho markets', 'deposit into Morpho', 'withdraw from Morpho', 'Morpho positions', 'ERC-4626 vaults'. Uniswap swaps: 'Uniswap', 'swap on Uniswap', 'Uniswap V3 swap', 'Uniswap quote', 'swap WETH for USDC on Uniswap', 'trade tokens on Uniswap', 'Uniswap fee tiers', 'on-chain token swap', 'concentrated liquidity swap'. Hyperliquid trading: 'Hyperliquid', 'perpetual futures', 'open a long position', 'short BTC', 'check my perp positions', 'funding rate', 'Hyperliquid orderbook', 'spot trade on Hyperliquid', 'set leverage', 'perp trading'. Ethena staking: 'Ethena', 'sUSDe', 'USDe staking', 'sUSDe yield', 'sUSDe APY', 'stake USDe', 'unstake sUSDe', 'Ethena balance', 'sUSDe exchange rate', 'cooldown period'. Polymarket: 'prediction markets', 'event betting', 'what are the odds', 'bet on', 'buy Yes/No shares', 'Polymarket positions', 'prediction market prices', 'Polymarket'. Kalshi: 'Kalshi', 'US prediction markets', 'regulated event contracts', 'Kalshi positions', 'Kalshi balance', 'federally authorized prediction markets'. Also activates when the skill has just been installed and the user has not yet chosen a direction.
Report-only QA testing. Systematically tests a web application and produces a structured report with health score, screenshots, and repro steps — but never fixes anything. Use when asked to "just report bugs", "qa report only", or "test but don't fix". For the full test-fix-verify loop, use /qa instead.
Post-process raw screen recordings by removing silent segments and applying speed adjustments. Uses FFmpeg-based Python scripts to optimize video pacing automatically.
Enhance portrait photos using each::sense AI. Professional-grade retouching including skin smoothing, teeth whitening, eye enhancement, blemish removal, lighting adjustment, and more.
Use this skill when visual quality and design identity matter for a PDF. CREATE (generate from scratch): "make a PDF", "generate a report", "write a proposal", "create a resume", "beautiful PDF", "professional document", "cover page", "polished PDF", "client-ready document". FILL (complete form fields): "fill in the form", "fill out this PDF", "complete the form fields", "write values into PDF", "what fields does this PDF have". REFORMAT (apply design to an existing doc): "reformat this document", "apply our style", "convert this Markdown/text to PDF", "make this doc look good", "re-style this PDF". This skill uses a token-based design system: color, typography, and spacing are derived from the document type and flow through every page. The output is print-ready. Prefer this skill when appearance matters, not just when any PDF output is needed.
Prevent feature creep when building software, apps, and AI-powered products. Use this skill when planning features, reviewing scope, building MVPs, managing backlogs, or when a user says "just one more feature." Helps developers and AI agents stay focused, ship faster, and avoid bloated products.
Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Covers prompt engineering for products, cost management, rate limiting, and building defensible AI businesses. Use when: AI wrapper, GPT product, AI tool, wrap AI, AI SaaS.
Voice agents represent the frontier of AI interaction - humans speaking naturally with AI systems. The challenge isn't just speech recognition and synthesis, it's achieving natural conversation flow with sub-800ms latency while handling interruptions, background noise, and emotional nuance. This skill covers two architectures: speech-to-speech (OpenAI Realtime API, lowest latency, most natural) and pipeline (STT→LLM→TTS, more control, easier to debug). Key insight: latency is the constraint. Hu
Use when complex problems require systematic step-by-step reasoning with ability to revise thoughts, branch into alternative approaches, or dynamically adjust scope. Ideal for multi-stage analysis, design planning, problem decomposition, or tasks with initially unclear scope.