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Found 675 Skills
Use this skill for ANY question about CREATING evaluators. Covers creating custom metrics, LLM as Judge evaluators, code-based evaluators, and uploading evaluation logic to LangSmith. Includes basic usage of evaluators to run evaluations.
Track and analyze content performance across Instagram, YouTube, LinkedIn, Twitter/X, and Reddit using anysite MCP server. Measure engagement metrics, analyze post effectiveness, benchmark content strategy, identify top-performing content, and optimize posting strategies. Supports post performance tracking, engagement analysis, content type comparison, and competitive benchmarking. Use when users need to measure content ROI, optimize social strategy, identify viral content patterns, or analyze content engagement across platforms.
Analyze data structures, define metrics, KPIs, and reporting requirements for business dashboards and analytics systems. Use when McKinzie needs to understand what data to track, how to measure performance, or what should be displayed on dashboards across her content sites, Etsy shops, and business portfolio.
Display session efficiency report showing token savings, cache performance, and optimization recommendations. Use when user asks "show my stats", "how efficient am I?", "show session metrics", or wants to see Navigator's impact.
Comprehensive growth hacking strategy including growth loops, AARRR pirate metrics, channel prioritization (Bullseye), viral mechanics (K-factor), ICE experiment scoring, and 90-day experimentation roadmap using Growth Loops, Pirate Metrics, and Traction Bullseye frameworks.
Sales metrics frameworks with leading/lagging indicators, benchmarks, and capacity models.
Compare FinOps metrics across multiple repositories in an organization
Help me troubleshoot service issues based on Prometheus metrics
Write and query high-cardinality event data at scale with SQL. Load when tracking user events, billing metrics, per-tenant analytics, A/B testing, API usage, or custom telemetry. Use writeDataPoint for non-blocking writes and SQL API for aggregations.
This skill generates comprehensive metrics reports for intelligent textbooks built with MkDocs Material, analyzing chapters, concepts, glossary terms, FAQs, quiz questions, diagrams, equations, MicroSims, word counts, and links. Use this skill when working with an intelligent textbook project that needs quantitative analysis of its content, typically after significant content development or for project status reporting. The skill creates two markdown files - book-metrics.md with overall statistics and chapter-metrics.md with per-chapter breakdowns - in the docs/learning-graph/ directory.
Query Mozilla telemetry data directly from BigQuery using the bq CLI. Use when the user wants to run SQL against Firefox telemetry, analyze Windows version distribution, count DAU/MAU/WAU, query Glean metrics, or investigate user populations. Triggers on "bigquery", "bq", "telemetry query", "DAU", "MAU", "Windows distribution", "macOS distribution", "Darwin version", "Linux distribution", "kernel version", "client count", "user count", "Glean metrics query", "baseline_clients".
When the user wants to set up product analytics -- including event taxonomy, tracking plans, funnel analysis, or tool selection (Mixpanel, Amplitude, PostHog). Also use when the user says "event tracking," "analytics setup," "tracking plan," "analytics implementation," or "user identification." For PLG metrics, see plg-metrics. For experimentation, see growth-experimentation.