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Found 399 Skills
When the user wants to establish or update their developer audience context. Also use when starting any other developer marketing skill to ensure foundational context is loaded. Trigger phrases include "developer persona," "target developers," "who are our developers," "developer profile," "ICP," or "ideal customer profile."
Analyze family medical history, assess genetic risks, identify family health patterns, and provide personalized prevention recommendations
Build a personalized reading profile from your Readwise Reader data, used by triage, quiz, and other skills
Conduct simulated user research with AI personas. Triggers when the user says 'do user research', 'run user research', 'simulate user interviews', or '/user-research'. Three phases: free growth → pain extraction → product collision, with four quality validation checkpoints. Supports single or multi-concept testing.
Multi-step voice content generation with deterministic validation. Orchestrates a 7-phase pipeline: LOAD, GROUND, GENERATE, VALIDATE, REFINE, OUTPUT, CLEANUP. Use when generating content in a specific voice, writing as a persona, or validating existing content against a voice profile. Use for "voice write", "write as", "generate in voice", or "voice content". Do NOT use for creating new voice profiles (use voice-calibrator), analyzing writing samples (use voice_analyzer.py), or general content without a voice target.
User personas, customer journey maps, interview guides, usability testing, and card sorting. Use when building user understanding, mapping customer experiences, planning user research sessions, or defining Jobs-to-Be-Done.
Expert knowledge for Azure AI Personalizer development including troubleshooting, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when tuning exploration/apprentice mode, single vs multi-slot calls, model export, quotas, or local inference SDK, and other Azure AI Personalizer related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Search (use azure-cognitive-search), Azure AI Metrics Advisor (use azure-metrics-advisor), Azure AI Anomaly Detector (use azure-anomaly-detector).
AI-powered comprehensive health analysis system that integrates multi-dimensional health data, identifies abnormal patterns, predicts health risks, and provides personalized recommendations. It supports intelligent Q&A and AI health report generation.
Get a recap from One Horizon across completed, planned, and blocked tasks, with initiatives and open bug/feature sections. Supports personal and team scope. Use for "my recap", "team recap", "team status", "what have I done and what's next", or "what is everyone working on". Requires One Horizon MCP.
Generate standup talking points from One Horizon task data. Supports personal and team scope. Use when asked "prep my standup", "what should I say", "give me my standup update", "team standup summary", or "what should we cover in standup". Requires One Horizon MCP.
Deep persona simulation and skeptical buyer review for cold emails. Builds a full prospect "world" from LinkedIn + company data, defines their professional reality (KPIs, pain points, inbox behavior), then runs a skeptical buyer roast — emotional reaction first, business evaluation second. One prospect at a time, Tier 1 only. Triggers on: "review email", "copy feedback", "email feedback", "would they reply", "persona review", "check this email", "review this draft", "roast this email", "skeptical buyer".
Design enrichment columns that bridge research hypotheses to list enrichment. Two modes: segmentation (columns that score hypothesis fit per company) and personalization (columns for company-specific hooks). Interactive column design with the user. Outputs ready-to-run column_configs for list-enrichment. Triggers on: "data points", "enrichment columns", "column design", "what to research", "data point builder", "build columns", "segmentation columns", "personalization columns".