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Plugins
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Dynamics 365 Project Operations via Dataverse Web API — projects, WBS, time and expense tracking, resource assignments, project contracts, and billing
DynamoDB single-table design pipeline: access patterns → table design → query interfaces. Three-step guided workflow for designing and documenting production-ready DynamoDB schemas.
Analyze recent commits, navigate affected UI routes in Chrome, take screenshots, check console logs and network requests, and produce a structured issues report. Works with any web framework.
Always use in any git repository. Auto-saves and syncs meaningful progress as work completes, manages .gitignore, opens worktrees for new features, translates Git output into plain language, and blocks dangerous operations.
Generate human-quality content with automatic AI detection scoring and self-improvement loop. Generate, score, fix, verify.
Feedback synthesis — cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise, and produce an actionable insight report. Use when asked to "synthesize this feedback", "analyze support tickets", "what are users complaining about", "NPS analysis", "churn feedback synthesis", or "what's the feedback telling us".
Run a user interview — produce an interview guide and synthesize the output into an actionable insight report. Use when asked to "run a user interview", "synthesize these interview notes", "what do users actually want", "build a persona from this feedback", "find the JTBD in these transcripts", or "analyze this interview data".
Jobs-to-Be-Done analysis — given a product, user descriptions, transcripts, or tickets, produce a JTBD job map with switching forces analysis and opportunity ranking. Use when asked to "find the JTBD", "what jobs are users hiring us for", "job mapping", "what are users really trying to do", "JTBD framework", or "why are users switching".
User research reconnaissance — survey existing personas, research docs, interview notes, and feedback artifacts to establish what is already known about users. Use when asked to "what research exists", "review existing personas", "what do we know about our users", or before starting new research or synthesis work.
User segmentation and persona creation from mixed data sources — analytics, CRM, support tickets, reviews, or any combination. Use when asked to "build personas", "who are our users", "segment our users", "create user profiles", "define user archetypes", or "who is the target user".