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Found 621 Skills
Use for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.
End-to-end ETL pipeline for Harvard Art Museums API with SQL analytics and Streamlit visualization
Instagram growth automation — post scheduling, story creation, hashtag strategy, Reel uploads, and engagement analytics.
Use when doing upstream market-research methodology — sizing a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single unsourced number), planning a survey sample size with finite-population correction and per-segment minimums, or scoring candidate market segments against Kotler's measurable/substantial/accessible/differentiable/actionable criteria. Outputs always show the method and the assumptions. For market-research analysts and product-marketing at the sizing/survey/segmentation moment. Distinct from marketing-skill (campaign analytics, attribution, demand-gen) — this is the evidence-building methodology, not live-campaign optimization.
Build and operate a live game using Unity Services. Use when the user needs to implement, connect, or debug backend-driven features — battle passes, achievements, player progression, cloud saves, leaderboards, matchmaking, virtual economies, server-authoritative logic, anti-cheat, player accounts and authentication, remote configuration, feature flags, A/B testing, analytics, or cloud resource deployment. Triggers on live-ops, live service, backend, server authority, cloud code, cloud save, remote config, player data, retention, monetization loop, season pass, ranking, multiplayer sessions, lobbies, or any Unity Services integration.
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.
Monitor Granola usage, analytics, and meeting insights. Use when tracking meeting patterns, analyzing team productivity, or building meeting analytics dashboards. Trigger with phrases like "granola analytics", "granola metrics", "granola monitoring", "meeting insights", "granola observability".
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.
When the user wants to set up, debug, or interpret app install attribution — including SKAdNetwork (SKAN), Apple's AdAttributionKit, Google Play Install Referrer, MMPs (AppsFlyer, Adjust, Singular, Branch, Kochava), deep links, deferred deep links, conversion values, postback windows, or privacy thresholds. Use when the user mentions "SKAdNetwork", "SKAN", "SKAN 4", "AdAttributionKit", "AAK", "MMP", "AppsFlyer", "Adjust", "Singular", "Branch", "attribution", "conversion value", "postback", "Install Referrer", "deferred deep link", "iOS 14.5", "ATT", "App Tracking Transparency", "IDFA", or "I can't measure my ad campaigns". For paid campaign strategy, see ua-campaign and apple-search-ads. For analytics events, see app-analytics.
Twitter/X account analytics, viral patterns, VIP follower discovery, tweet drafting. Use when analyzing a creator's reach, finding hidden-gem followers, or drafting tweets in someone's style (e.g. score @vitalik, draft tweet on AI).
Build ETL pipelines and analytics dashboards for the Harvard Art Museums API using Python, SQL, and Streamlit
Expert-level energy systems, smart grids, renewable energy, power management, and energy analytics