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Found 454 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
Guide for integrating with the OpenJung (OEJTS) personality test API - a free, open-source alternative to MBTI. Use when building applications that need personality assessment, integrating MBTI-style tests, or working with the OpenJung API endpoints. Covers: (1) Fetching test questions, (2) Submitting answers and calculating results, (3) Understanding the scoring system, (4) Recording test sessions, (5) Retrieving aggregate statistics.
Build a personalized reading profile from your Readwise Reader data, used by triage, quiz, and other skills
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.
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).
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".
Manages TrueFoundry personal access tokens (PATs). List, create, and delete tokens for API auth and CI/CD.
Parent skill. Focuses on researching personal judgment, methodology, system capability and brand equity building in the AI era. Responsible for overall positioning control and task distribution.
Use when the user needs user research methodologies, persona development, journey mapping, usability testing plans, or information architecture analysis. Triggers: user says "user research", "persona", "journey map", "usability test", "card sort", "heuristic evaluation", "information architecture", "user interview", understanding user behavior.