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Found 590 Skills
Every Render endpoint, plus diff, drift, cost, audit, and orphan analytics no other Render tool ships. Trigger phrases: `diff render env vars`, `promote env vars between render services`, `check render blueprint drift`, `render monthly cost`, `clean up stale render preview environments`, `where is this render env var used`, `render incident timeline`, `render audit log search`, `use render`, `run render-pp-cli`.
Use when the user asks about RevenueCat data, analytics, charts, KPIs
Design data architecture at enterprise and solution levels. Cover data mesh, lakehouse, governance, domain-driven design, conceptual/logical/physical data modeling, platform selection, and compliance frameworks. Produce ADRs, data model diagrams, platform comparison matrices, and governance policy templates. Triggers on "design data platform", "choose data warehouse", "data mesh", "lakehouse architecture", "data governance", "data modeling", "platform selection", "data architecture decision", "compliance framework", or "data strategy". For applied AI solution architecture (RAG data plane, embeddings, vector stores in commercial or enterprise products), use applied-ai-architect-commercial-enterprise. For dbt analytics layers and mart delivery, use analytics-data-engineer—not data-architect.
Build end-to-end ETL pipelines and analytics dashboards using Harvard Art Museums API data with Python, SQL, and Streamlit
Deploy and configure the Dragos Platform for OT network monitoring, leveraging its 600+ industrial protocol parsers, intelligence-driven threat detection analytics, and asset visibility capabilities to protect ICS environments against threat groups like VOLTZITE, GRAPHITE, and BAUXITE.
End-to-end data engineering pipeline for Harvard Art Museums API with ETL, SQL analytics, and Streamlit visualization
Build end-to-end ETL pipelines and analytics dashboards using the Harvard Art Museums API with Python, SQL, and Streamlit
End-to-end data engineering pipeline with Harvard Art Museums API, ETL processing, SQL analytics, and Streamlit visualization
Expert in using ktx, the executable context layer for data and analytics agents that enables accurate querying through MCP with skills, memory and a semantic layer
Context layer for data agents - builds semantic layer, wiki, and warehouse metadata to enable accurate AI-powered analytics queries
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.
Apex - Senior Product Marketing Manager & CSO specializing in B2B/B2C IT Products & SaaS. Use for Go-To-Market strategies, product positioning, growth funnels, IT product copywriting, SEO content strategy, or marketing analytics. Also responds to 'Apex' or /apex command.