fe-databricks-tools
claudeComplete Databricks workflow tools: authentication, queries, deployments, workspace setup, and demos
15 skills · 1 agent
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
Plugin fe-workflows from marketplace fe-vibe in sarah-hord-db/vibe. Commands read from the repo's manifest — 1 month ago.
account-review-deckCreate QBR/EBC account review slide decks for customer quarterly business reviews. Use this skill when the user says 'QBR', 'quarterly business review', 'account review deck', 'EBC deck', 'executive business review', 'customer review deck', or wants to create a slide presentation reviewing a custome
aha-workflowGuided Aha! workflows - smart search from meeting notes, guided creation, contextual voting, and linking Aha ideas to UCOs as blockers. Use this skill when the user wants to link an Aha idea to a UCO, search for Aha ideas from meeting notes, or create new Aha ideas with guided workflows.
competitive-analysisCompetitive analysis comparing Databricks to competitors like Snowflake, Redshift, Fabric, Polaris, Purview. Use for "compare", "vs", "why Databricks over X", "competitive", "battlecard" questions. Fast mode (default) for quick answers using registry differentiators. Comprehensive mode when user req
customer-release-briefGenerate a customer-specific Databricks product update brief filtered to features the customer actively uses. Use when the user says "what's new for <customer>", "product updates for <customer>", "release notes for <customer>", "what should I tell <customer> about new features", "recent Databricks u
databricks-learning-assistantUse this skill whenever the user says teach me, learn, train me, walk me through, tutorial, study, help me understand, show me how to use, or master — for ANY Databricks feature, Vibe workflow, or Claude Code topic. This is the dedicated learning and teaching skill. It researches the topic live, giv
databricks-sizingGet Databricks cost estimates using Quicksizer (broad sizing) or Lakemeter (precise per-SKU costs). Sizes ETL, Data Warehousing, ML, Interactive, Lakebase, Lakeflow Connect, Apps, Model Serving, FMAPI, Vector Search, and more. Use when the user asks for cost estimation, pricing, DBU calculations, or
databricks-troubleshootingSystematic troubleshooting guide for common Databricks issues and errors
draft-rcaDraft Root Cause Analysis documents for incidents using Salesforce, JIRA, Slack, and email sources
fe-account-tap-mapComplete TAP (TAM, Architecture, Powerbase) mapping for Databricks customer accounts. Builds on tam-sizing to add incumbent tools, champions, and DBRX penetration by workload area. Generates a comprehensive Google Doc ready for SFDC Account Plan writeback.
fe-account-transitionCreate comprehensive account transition documents for new Account Executives and Solution Architects taking over accounts. Gathers data from Salesforce, Logfood, Glean, and JIRA.
fe-answer-customer-questionsDraft responses to customer questions from Slack, email, or Google Docs. Researches answers using multiple sources and creates a combined Q&A document with references. Use this skill when anyone mentions "customer questions", "product", "roadmap", "draft responses
fe-architecture-diagramGenerate professional architecture diagrams with vendor icons (Databricks, AWS, GCP, Snowflake, Kafka) using mingrammer/diagrams or Mermaid. Features visual feedback-driven refinement via Chrome DevTools.
fe-customer-coursesGenerate customer-specific training course recommendations or training plans based on Salesforce use cases, Google Drive research, and the Databricks course catalog. Creates a customer-facing Google Doc with personalized course suggestions. Use this when the user asks for training recommendations, t
fe-databricks-feature-testerActually test whether Databricks features work by running real tests. Use this to try out features, verify they work in practice, check if something actually works, or validate feature behavior hands-on. Provisions infrastructure, executes test code, and documents results. Use this when you want to
fe-gap-analysisGenerate customer-specific product heatmaps with tiered opportunity scoring across the Databricks portfolio. Pulls data from Logfood, Salesforce UCOs, Google Drive, Slack, and JIRA ES tickets to produce a structured Google Sheet with MRR data, adoption status, and End Analysis scoring.
fe-poc-docCreate and maintain Proof of Concept documentation for customer engagements
fe-poc-postmortemGenerate comprehensive post-mortem retrospectives for competitive POCs that we didn't win
fe-rfpAnswer RFP (Request for Proposal) questions using the RFP Response Assistant. Use this skill when a user needs help responding to RFPs, vendor questionnaires, or technical capability assessments. Handles both product/technical questions and security/compliance (SQRC) questions. Supports single quest
feature-preview-lookupLook up what phase a Databricks feature preview is in (Private Preview, Beta, Public Preview, GA) and check if a customer workspace is enrolled/enabled. Cross-references with workspace ring to explain feature availability. Use when asked about preview status, feature rollout stage, whether a custome
hackathon-in-a-boxGenerate a tailored hackathon planning kit for customer organizers. Produces an organizer guide, agenda, participant guide, invite emails, use case prompts, judging rubric, and logistics checklist — all personalized to the customer's industry and goals.
humanizeRewrite AI-generated text to sound like a real human wrote it. Uses your personal voice profile (~/.vibe/voice_profile.yaml) for tone, style, and banned-phrase enforcement. Run with --setup to build or edit your voice profile.
interview-post-processPost-process a Design & Architecture interview scorecard. On first use, copies a template scribble sheet to the user's GDrive. On subsequent uses, duplicates the template tab for a new candidate. Reads rough notes, cross-references the playbook and appropriate leveling cheat sheet (SA or DSA), and w
interview-prepPrepare a structured interview plan for the Databricks SA/DSA Design & Architecture interview. Analyzes a candidate's resume and generates a tailored scenario, discovery questions, probing questions by phase, spike-specific deep dives, and a scoring rubric. Use this when preparing to interview a can
lakebase-usageAnalyze Lakebase usage for a specific customer account. Use ONLY when a Field Engineering employee (SA/DSA) asks about Lakebase adoption, consumption, instances, databases, data sync pipelines, or trends for a named customer. Do NOT use for general Lakebase questions, creating Lakebase instances, La
performance-tuningOptimize Databricks workload performance through systematic tuning and analysis. Use this skill when a customer has slow Spark jobs, slow SQL queries, high costs, data skew, shuffle/spill problems, streaming latency issues, or needs help reading Spark UI / Query Profile output. Covers Spark code, Sp
private-preview-enrollEnroll a customer workspace or account into a Databricks feature preview. Guides SAs/DSAs through the nomination process by collecting the required information (customer, preview, cloud, workspace IDs, use case) and creating the SFDC enrollment records. Use when asked to enroll, nominate, sign up, o
product-question-researchResearch and answer Databricks product questions for customers. Use this skill when asked about feature support, capabilities, limitations, or whether something is supported. Triggers on "does [feature] support", "is [feature] supported", "can [feature] do", "do materialized views support", or any q
renewal-risk-analyzerProactive renewal risk detection using multi-signal scoring (consumption, contract commitment, UCO health, support burden, engagement). Use weekly before renewal discussions or when Providence-style hidden risks (strong consumption but contract underburning) need detection.
sa-plannerDaily or weekly todo list and planning for SAs. Use when the user says "todo list", "create a todo list", "weekly todo list", "daily planner", "weekly plan", "what's on my plate", "what do I need to do today", "what do I need to do this week", "start my day", "morning brief", "what should I work on"
security-questionnaireComplete security questionnaires, assessments, and compliance documentation for customer procurement
showcaseDocument and share a Vibe session as a showcase writeup. Creates a Google Doc in the shared Vibe Showcases folder. Use this skill when the user says "showcase", "writeup", "document this session", or wants to share what they accomplished with Vibe.
support-escalationCreate and manage support escalations for critical customer support cases
workspace-ring-lookupLook up what deployment ring a customer workspace is in. Rings determine feature rollout order and preview availability. Use when asked about workspace ring, stage, deployment tier, or feature rollout eligibility.
account-review-deckcustomer-courses-generatorcustomer-question-answererdatabricks-feature-test-executorfe-poc-doclearning-work-checkerpoc-postmortemproduct-question-researcherrca-docslack-discovery-agentsqrc-questionnairesqrc-validatorComplete Databricks workflow tools: authentication, queries, deployments, workspace setup, and demos
15 skills · 1 agent
Internal Databricks tools: Aha! Ideas and eng blocker search, GTM data queries, Genie Rooms, Confluence, Glean search, Slack messaging, and AWS authentication
12 skills · 1 agent
Google Docs, Sheets, Slides, Drive, Gmail, Calendar, Tasks, and Forms with professional formatting, charts, formulas, and hyperlinks
10 skills · 1 agent
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.
9 skills
Setup, configuration, and validation for the vibe environment
7 skills · 1 agent
Databricks AI development toolkit (for FE and customers) with skills for data engineering, ML, and AI agents plus MCP tools for direct Databricks operations
6 skills · hooks
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
15 skills · hooks
Talk like caveman. Cut filler. Keep technical details explicit.
22 skills · 1 command · 3 agents · hooks
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
tasteskill 2.5.1: professional company websites at the figma.com and x.ai level, with one section per screen, real photographs, real product UI, effects kept for tech and gaming pages, and a real-browser checker and finish gate.
1 skill
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
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