Interactive AI coach for Databricks labs with Socratic questioning, real-time debugging support, and transfer learning reflection for field engineers
0 on GitHubby Field Engineering Technical Enablementv2.4.0updated 7 months agoenablement
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Plugin fe-lab-coaching from marketplace fe-vibe in sarah-hord-db/vibe. Commands read from the repo's manifest — 1 month ago.
What it installs
Skills (1)
lab-coaching
Interactive AI coach for Databricks labs that guides field engineers from instruction-following to technical reasoning through Socratic questioning, real-time debugging support, and transfer learning reflection
Common Field Engineering workflows for Aha! Ideas, sizing, documentation, security, support, troubleshooting, TODO management, account transitions, RFP responses, QBR decks, humanizer, SA daily/weekly planning, and showcases
Autonomous TDD pipeline for building features end-to-end. Chains PRD → gate tests → implementation → live validation → remediation in a self-correcting loop. Uses headless Claude sessions via the relentless CLI for multi-phase execution. Includes autoresearch for autonomous skill optimization.
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
53 marketing skills for technical marketers and founders: CRO, copywriting, cold email, prospecting, SEO, AI SEO, paid ads, SMS, ad creative, video production, image generation, co-marketing, churn prevention, pricing, referrals, revenue operations, sales enablement, customer research, site architecture, comprehensive AARRR-structured marketing plans, public relations and earned media, offer design, event marketing and webinars, and more
Transform Claude into an Azure expert. This plugin integrates the Azure MCP server and specialized Azure skills to move beyond generic advice. It enables Claude to perform real-world tasks: listing resources, validating deployments, diagnosing infrastructure issues, and optimizing costs across 50+ Azure services.
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