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Found 588 Skills
Detect the full technology stack of any website by URL. Returns framework, UI library, bundler, state management, styling, tables, animations, forms, API patterns, monitoring, analytics, and more. Use when a user asks to analyze a website's tech stack, build something similar to an existing app, or understand what technologies a site uses.
Retention Calculator - Auto-activating skill for Data Analytics. Triggers on: retention calculator, retention calculator Part of the Data Analytics skill category.
Regression Analysis Helper - Auto-activating skill for Data Analytics. Triggers on: regression analysis helper, regression analysis helper Part of the Data Analytics skill category.
Unified portfolio dashboard. Traffic, revenue, errors - all products at a glance. Weekly traction check in 2 minutes. Auto-invoke when: user asks about metrics, traction, analytics, revenue across products.
RevenueCat CLI tool for subscription analytics, MRR tracking, customer management, and offering configuration. Use when analyzing app revenue, checking subscriber status, managing offerings/packages/entitlements, querying chart data, setting up webhooks, or any RevenueCat API interaction via CLI. Triggers on "revcat", "RevenueCat", "MRR", "subscription analytics", "revenue metrics", "offerings", "entitlements", "paywalls", or when the user wants to interact with RevenueCat data.
Normalize messy creator campaign metrics from multiple sources into a single clean table with standardized field names ready to merge into your master tracker. This skill should be used when cleaning up influencer metrics, standardizing campaign data from multiple platforms, normalizing creator performance numbers, merging metrics from Instagram and TikTok and YouTube into one sheet, formatting messy analytics exports, preparing campaign data for a master spreadsheet, converting raw platform stats into a consistent format, combining metrics from different reporting tools, deduplicating creator data from multiple sources, fixing inconsistent column names across exports, or cleaning up a metrics dump before reporting. For calculating engagement rates, see engagement-rate-calculator-benchmarker. For full campaign reports, see campaign-roi-calculator. For parsing a single Story screenshot, see story-metrics-screenshot-parser.
Comprehensive email marketing knowledge base covering strategy, deliverability, list building, segmentation, automation, copywriting, analytics, and platform selection. Use this skill when helping with anything email marketing related: planning campaigns, building automations, writing copy, analysing metrics, setting up authentication, or advising on ESP selection. This skill reflects the opinions and experience of an expert practitioner, not generic best-practice summaries.
Show session analytics, learning patterns, correction trends, heatmaps, and productivity metrics. Use when wanting to understand your coding patterns over time.
Comprehensive guide for Azure Data Explorer (ADX) and Kusto Query Language (KQL); use when writing/optimizing KQL queries, setting up ingestion, building dashboards, doing time-series/ML analysis, configuring management/security, or when users mention Kusto, KQL, ADX, Azure Data Explorer, or log analytics queries.
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
When the user wants to set up, interpret, or improve their app analytics and tracking. Also use when the user mentions "analytics", "tracking", "metrics", "KPIs", "App Store Connect analytics", "install tracking", "funnel", "attribution", or "how is my app performing". For A/B testing, see ab-test-store-listing. For retention metrics, see retention-optimization.
Token analytics — screener, indicators, OHLCV, holders, flows, PnL, DEX trades, flow intelligence. Use when researching a specific token, checking smart money holders, or screening trending tokens.