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Found 588 Skills
Privacy-by-design analytics setup for clients operating under Uganda's Data Protection and Privacy Act 2019, Kenya's Data Protection Act 2019, and international frameworks (GDPR, CCPA). Covers cookie consent implementation, GA4 privacy configuration, data minimisation, and WhatsApp data governance. Invoke when setting up GA4 for a new client, configuring cookie consent banners, advising on analytics data governance, or when a client asks about data protection compliance for their digital channels. Does not replace legal counsel — flags compliance requirements and provides implementation guidance.
Create analytics question files (.question.yml) in Steedos projects. Questions are report/chart definitions stored as YAML seed data files, based on the @steedos-labs/analytics package (Metabase engine). Covers file format, dataset_query structure (MBQL), display types, visualization_settings, result_metadata, and file naming conventions.
Siro platform help — AI field sales coaching via mobile recording, real-time Halftime mid-call coaching, automated CRM data capture, conversation analytics, follow-up draft generation. Use when setting up Siro for a field sales team, configuring Siro CRM integration with Salesforce or HubSpot via Merge, Siro recording quality or battery drain issues on job sites, building a custom integration with Siro's REST API and webhooks, comparing Siro vs Rilla vs SalesAsk for field sales coaching, or Siro coaching prompts feel too generic for your vertical. Do NOT use for virtual/video meeting note-taking (use /sales-note-taker) or building a coaching program (use /sales-coaching).
Tableau platform help — Tableau Desktop, Tableau Cloud, Tableau Server, Tableau Prep, Tableau Pulse, Embedding API, REST API (v3.28, PAT/JWT auth, 300+ endpoints), MCP server, and Tableau+. Use when dashboards are slow with large datasets, LOD expressions or calculated fields aren't working, licensing costs are confusing or spiraling, Tableau won't connect to Salesforce or your data warehouse, embedded analytics aren't rendering, Tableau Prep flows keep failing, or you need help choosing Creator vs Explorer vs Viewer licenses. Do NOT use for general CRM config (use /sales-salesforce) or sales forecasting methodology (use /sales-forecast).
Cloutboost platform help — gaming influencer marketing platform with 1.5M+ creator database across YouTube, Twitch, and TikTok, plus managed agency services. Covers Portal (influencer discovery, 20+ search filters, game-genre filtering), campaign management (outreach, scheduling, content review, approval), automated analytics and reporting, retargeting (repurposing influencer content for paid ads), and PR/media relations for game launches. Use when struggling to find the right gaming creators, Cloutboost campaign not getting enough creator applications, Portal search filters not narrowing results well, campaign reports hard to interpret, or unsure whether to retarget with influencer content. Do NOT use for influencer marketing strategy across platforms (use /sales-influencer-marketing), gaming marketing strategy (use /sales-gaming-marketing), general retargeting strategy (use /sales-retargeting), or PR strategy (use /sales-media-relations).
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).
NeoReach platform help — enterprise influencer marketing SaaS + managed services, 3M+ creator database with 40+ discovery filters, AI recommendation engine, fraud detection, campaign management (contracts, content tracking, payments), analytics (ROI, CPM, CPE, proprietary IMV metric), REST API (400+ data points, sponsorship pricing, audience matching, competitor spend), and optional managed campaign services. Use when NeoReach discovery isn't surfacing relevant creators, fraud scores look suspicious, campaign ROI or IMV numbers seem off, API integration isn't returning data, unsure whether to use managed services or self-serve, or need to compare NeoReach pricing with alternatives. Do NOT use for influencer marketing strategy across platforms (use /sales-influencer-marketing), TikTok marketing strategy (use /sales-tiktok-marketing), or gaming influencer marketing (use /sales-gaming-marketing).
Read.ai platform help — meeting intelligence with engagement/sentiment analytics, Search Copilot across meetings/email/chat, Ada digital twin, REST API (beta) + MCP Server (`api.read.ai/mcp/`), OAuth auth, webhook automations (`meeting_end` events with HMAC signing), CRM sync to Salesforce/HubSpot, Zapier/n8n workflows, 20+ language transcription. Use when setting up Read.ai webhooks or API integration, connecting Read.ai transcripts to a CRM or data warehouse, configuring Read.ai engagement analytics for a sales team, comparing Read.ai pricing tiers, troubleshooting Read.ai auto-joining meetings without permission, or setting up the Read.ai MCP server with Claude or Cursor. Do NOT use for picking between note-takers (use /sales-note-taker) or reviewing a specific call for coaching (use /sales-call-review).
Orchestrate the live-ops team for post-launch content planning: coordinates live-ops-designer, economy-designer, analytics-engineer, community-manager, writer, and narrative-director to design and plan a season, event, or live content update.
Investigate LLM analytics evaluations of both types — `hog` (deterministic code-based) and `llm_judge` (LLM-prompt-based). Find existing evaluations, inspect their configuration, run them against specific generations, query individual pass/fail results, and generate AI-powered summaries of patterns across many runs. Use when the user asks to debug why an evaluation is failing, surface common failure modes, compare results across filters, dry-run a Hog evaluator, prototype a new LLM-judge prompt, or manage the evaluation lifecycle (create, update, enable/disable, delete).
Add PostHog product analytics events to track user behavior. Use after implementing new features or reviewing PRs to ensure meaningful user actions are captured. Also handles initial PostHog SDK setup if not yet installed.
Auto-generates weekly KPI reports from multiple data sources including Supabase analytics, CRM data, financial spreadsheets, and email metrics. Produces executive-ready reports with dashboards, trends, highlights, concerns, and action items.