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Discover Instagram creators through search, hashtags, tagged mentions, posts, and Reels, then enrich and rank them into research pools and shortlists.

Create diverse synthetic test inputs for LLM pipeline evaluation using dimension-based tuple generation. Use when bootstrapping an eval dataset, when real user data is sparse, or when stress-testing specific failure hypotheses. Do NOT use when you already have 100+ representative real traces (use stratified sampling instead), or when the task is collecting production logs.

Fetches aggregated trace metrics (token usage, latency, trace counts, quality evaluations) from MLflow tracking servers. Triggers on requests to show metrics, analyze token usage, view LLM costs, check usage trends, or query trace statistics.

Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.

Google Sheets integration. Manage analytics data, records, and workflows. Use when the user wants to interact with Google Sheets data.

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.