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Found 45 Skills
Vitally platform help — Health Scores, Playbooks, Projects, Automation, AI copilot, NPS, Dashboards, REST API. Use when health scores aren't reflecting reality, playbook automations aren't triggering, Salesforce or HubSpot sync is broken, onboarding projects are stalling, NPS surveys aren't reaching users, Vitally AI summaries seem off, custom traits aren't updating via API, or dashboards show stale data. Do NOT use for general customer success strategy (use /sales-customer-success) or survey design methodology (use /sales-customer-feedback).
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).
Birdeye platform help — reviews, listings, social media, messaging, surveys, referrals, payments, and BirdAI for multi-location businesses. Use when review requests not generating responses, Google Business Profile listings out of sync, webchat not converting visitors, survey response rates low, unsure how to set up BirdAI automation, or comparing Birdeye vs Podium vs Yext vs Reputation.com. Do NOT use for ecommerce product review apps like Judge.me or Yotpo (use /sales-customer-reviews) or B2B software reviews on G2 (use /sales-g2).
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.
Use when interpreting Culture Index surveys, CI profiles, behavioral assessments, or personality data. Supports individual interpretation, team composition (gas/brake/glue), burnout detection, profile comparison, hiring profiles, manager coaching, interview transcript analysis for trait prediction, candidate debrief, onboarding planning, and conflict mediation. Handles PDF vision or JSON input.
Multi-route literature expansion + metadata normalization for evidence-first surveys. Produces a large candidate pool (`papers/papers_raw.jsonl`, target ≥1200) with stable IDs and provenance, ready for dedupe/rank + citation generation. **Trigger**: evidence collector, literature engineer, 文献扩充, 多路召回, snowballing, cited by, references, 元信息增强, provenance. **Use when**: 需要把候选文献扩充到 ≥1200 篇并补齐可追溯 meta(survey pipeline 的 Stage C1,写作前置 evidence)。 **Skip if**: 已经有高质量 `papers/papers_raw.jsonl`(≥1200 且每条都有稳定标识+来源记录)。 **Network**: 可离线(靠 imports);雪崩/在线检索需要网络。 **Guardrail**: 不允许编造论文;每条记录必须带稳定标识(arXiv id / DOI / 可信 URL)和 provenance;不写 output/ prose。
Retention and churn prevention specialist covering cancel flow design, proactive health scoring, payment recovery, dunning sequences, and win-back campaigns. Use when the user wants to reduce churn, build cancellation flows, create exit surveys, recover failed payments, set up dunning sequences, identify at-risk customers, run win-back campaigns, or improve customer retention. Also triggers for 'save rate', 'cancel flow', 'churn rate', 'dunning', 'failed payments', 'churned customers', or any customer retention question.
Enables rich interactive UI components in chat responses. When presenting questions that require structured input (multiple choice, true/false, forms), embed interactive blocks that compatible clients render as native UI elements. Use when user asks for quizzes, exercises, surveys, or any structured input scenario.
Expert framework for assessing and achieving product-market fit. Combines PMF measurement methodologies, Sean Ellis survey, retention analysis, segment-specific PMF, and post-PMF scaling strategy. Use when determining if product has PMF, measuring user engagement, running PMF surveys, or deciding whether to scale or keep iterating.
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).
Use this skill when designing engagement surveys, running pulse checks, building retention strategies, or improving culture. Triggers on employee engagement, surveys, pulse checks, retention strategies, culture building, eNPS, team health, and any task requiring engagement measurement or improvement programs.
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).