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Optimises SEO and technical foundations for Next.js App Router apps, covering sitemaps, robots, meta tags, structured data, canonical URLs, redirects, indexing policy, hreflang and internationalisation, Core Web Vitals, programmatic SEO, security headers, privacy/consent, and error-page resilience. Use when asked to "improve SEO", "add a sitemap", "fix meta tags", "add structured data", "set canonical URLs", "set up redirects", "fix soft 404s", "add hreflang", "add security headers", "add cookie consent", "improve Core Web Vitals", "audit SEO", or "build SEO pages at scale". Performs no visual redesigns; for visual direction use ui-design, for page-level UI quality use ui-audit, for writing the article itself use the external ghostwriter skill with platform blog. Does not cover llms.txt or AI-agent readability; research current specs for that work.

Hyperliquid on-chain perpetuals analytics from AiCoin Open API v3 — the primary source for on-chain whale / smart-money / large-fund movement. Use this skill when the user asks about: Hyperliquid whale positions, HL liquidations, HL open interest, HL trader analytics, HL taker flow, HL funding history, AND generic on-chain whale activity — '链上大资金动向', '链上鲸鱼', '聪明钱', '大户在干嘛', 'on-chain whale', 'smart money', 'Hyperliquid大户', 'HL鲸鱼', 'HL持仓', 'HL清算', 'HL持仓量', 'HL交易员', 'HL 资金费率' — because HL is the deepest on-chain perp venue and AiCoin exposes its whale positions / events / liquidations / trader stats without needing any wallet key. For general crypto prices/news use aicoin-market; for DEX swaps / wallets use aicoin-onchain; for CEX trading use aicoin-trading; for Freqtrade use aicoin-freqtrade.

Designs an A/B test or experiment with variants, success metrics, sample size, and duration for an existing hypothesis. Use when planning an experiment to validate a product change or test an assumption you have already framed. To articulate the hypothesis itself first, use define-hypothesis.

College Football (CFB) data via ESPN public endpoints and the NCAA's official endpoints — scores, standings, rosters, schedules, game summaries, play-by-play, rankings, injuries, futures, team/player stats, and news for FBS, plus official FCS scoreboards, NCAA game detail with drive context, and the schools index. Zero config, no API keys. Use when: user asks about college football scores, standings, rankings, team rosters, schedules, game results, play-by-play, injuries, betting futures, team/player statistics, CFB news, or FCS games. Don't use when: user asks about NFL (use nfl-data), college basketball (use cbb-data), or non-sports topics.

Run hypothesis tests, analyze A/B experiment results, calculate sample sizes, and interpret statistical significance with effect sizes. Use when you need to validate whether observed differences are real, size an experiment correctly before launch, or interpret test results with confidence.

Synthesizes user research interviews into actionable insights, patterns, and recommendations. Use after conducting user interviews, customer calls, or usability sessions to extract and communicate findings across participants. Distinct from foundation-meeting-recap, which summarizes one internal meeting for its attendees; this skill aggregates research conversations into evidence-backed findings.