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Found 51 Skills
Required reading before writing any HogQL/SQL or calling execute-sql against PostHog. Use whenever the user wants to search, find, or do complex aggregations PostHog entities (insights, dashboards, cohorts, feature flags, experiments, surveys, hog flows, data warehouse, persons, etc.) and query analytics data (trends, funnels, retention, lifecycle, paths, stickiness, web analytics, error tracking, logs, sessions, LLM traces). Covers HogQL syntax differences from ClickHouse SQL, system table schemas (system.*), available functions, query examples, and the schema-discovery workflow.
Design and launch a product survey and produce a Survey Pack (brief, questionnaire/instrument, analysis plan, launch checklist, reporting outline). Use for customer surveys, onboarding surveys, NPS/CSAT/PMF, cancellation/churn, and feedback surveys.
Use this skill when working with PostHog - product analytics, web analytics, feature flags, A/B testing, experiments, session replay, error tracking, surveys, LLM observability, or data warehouse. Triggers on any PostHog-related task including capturing events, identifying users, evaluating feature flags, creating experiments, setting up surveys, tracking errors, and querying analytics data via the PostHog API or SDKs (posthog-js, posthog-node, posthog-python).
Simplesat integration. Manage Surveys, Users, Teams, Integrations. Use when the user wants to interact with Simplesat data.
Generate complete academic survey papers using multi-LLM parallel outline generation, RAG-based subsection writing, citation validation, and local coherence enhancement. Based on AutoSurvey pipeline. Use for writing comprehensive literature surveys.
Master user research with interviews, surveys, personas, journey mapping, and research synthesis for user-centered design.
Qualtrics XM platform help — CX surveys (NPS/CSAT/CES), Employee Experience (EX) pulse surveys, Strategy & Research, Experience Agents AI, XM Directory, dashboards, REST API v3, MCP servers. Use when surveys aren't getting responses, dashboards won't show the right data, API calls return errors, you're setting up Qualtrics for the first time, confused by XM Directory contact management, need to export response data, comparing Qualtrics vs Medallia, or Qualtrics is too complex and you need guidance. Do NOT use for general NPS/CSAT strategy across tools (use /sales-customer-feedback) or product review collection like Trustpilot or G2 (use /sales-customer-reviews).
Customer feedback, NPS, CSAT, CES, Voice of Customer strategy across platforms — survey design, response rate optimization, closed-loop feedback, text analytics, benchmarking, program governance. Use when NPS scores are stagnant, survey response rates are low, feedback isn't driving action, unsure which CX metric to use, need to design a VoC program, comparing feedback tools (Medallia vs Qualtrics vs SurveyMonkey vs Typeform), or customers feel over-surveyed. Do NOT use for product review collection like Trustpilot or G2 (use /sales-customer-reviews) or in-app message surveys (use /sales-in-app-messaging).
Identify section boundaries and content sequences within a scraped webpage for AEM Edge Delivery Services import. Performs two-level analysis (sections, then sequences per section) and surveys available blocks.
Whatfix platform help — Digital Adoption Platform (DAP), in-app Flows, Smart Tips, Beacons, Task Lists, Self Help widget, Product Analytics (funnels, Sankey charts, cohorts), Mirror sandbox training, NPS/custom surveys, Integration Hub. Use when Whatfix flows aren't triggering, users skip walkthroughs, Self Help widget isn't surfacing right content, product analytics look wrong, Mirror sandbox needs setup, Whatfix surveys have low completion, Integration Hub data isn't syncing, need help with Whatfix API or content tagging, setting up Whatfix for a new enterprise app, or comparing Whatfix to WalkMe or Pendo. Do NOT use for in-app messaging strategy across platforms (use /sales-in-app-messaging) or general customer feedback strategy (use /sales-customer-feedback).
13 deep research & systematic reviews skills. Trigger: systematic reviews, multi-source synthesis, comprehensive literature surveys. Design: multi-step research protocols with quality assessment and evidence grading.
End-to-end user research assistant — qualitative and quantitative. Use this skill whenever the user mentions user research, user interviews, discussion guides, interview guides, research plans, qualitative research, quantitative research, user surveys, survey design, usability studies, participant recruitment, research synthesis, interview transcripts, research reports, running studies with AI, or explicitly mentions Cookiy AI. Also trigger when users want to talk to customers, conduct discovery research, create a study or survey, analyze interview data, run AI-moderated interviews, or collect survey responses. Covers the full lifecycle: planning studies, creating discussion guides, running AI-moderated interviews (real or synthetic) via Cookiy, designing and distributing surveys, and synthesizing results into reports.