claude

fe-workflows

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

0 on GitHubby Databricks Field Engineeringv1.4.7updated 7 months agoproductivity
/

Plugin fe-workflows from marketplace fe-vibe in sarah-hord-db/vibe. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (33)

  • account-review-deck

    Create 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-workflow

    Guided 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-analysis

    Competitive 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-brief

    Generate 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-assistant

    Use 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-sizing

    Get 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-troubleshooting

    Systematic troubleshooting guide for common Databricks issues and errors

  • draft-rca

    Draft Root Cause Analysis documents for incidents using Salesforce, JIRA, Slack, and email sources

  • fe-account-tap-map

    Complete 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-transition

    Create 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-questions

    Draft 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-diagram

    Generate 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-courses

    Generate 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-tester

    Actually 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-analysis

    Generate 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-doc

    Create and maintain Proof of Concept documentation for customer engagements

  • fe-poc-postmortem

    Generate comprehensive post-mortem retrospectives for competitive POCs that we didn't win

  • fe-rfp

    Answer 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-lookup

    Look 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-box

    Generate 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.

  • humanize

    Rewrite 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-process

    Post-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-prep

    Prepare 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-usage

    Analyze 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-tuning

    Optimize 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-enroll

    Enroll 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-research

    Research 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-analyzer

    Proactive 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-planner

    Daily 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-questionnaire

    Complete security questionnaires, assessments, and compliance documentation for customer procurement

  • showcase

    Document 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-escalation

    Create and manage support escalations for critical customer support cases

  • workspace-ring-lookup

    Look 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.

Subagents (12)

  • account-review-deck
  • customer-courses-generator
  • customer-question-answerer
  • databricks-feature-test-executor
  • fe-poc-doc
  • learning-work-checker
  • poc-postmortem
  • product-question-researcher
  • rca-doc
  • slack-discovery-agent
  • sqrc-questionnaire
  • sqrc-validator
View source on GitHub

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