claude

microsoft-fabric

Microsoft Fabric specialist team — agents (fabric-architect, lakehouse-engineer, warehouse-engineer, data-factory-engineer, realtime-intelligence-engineer, fabric-semantic-model-engineer, fabric-admin) covering OneLake, Lakehouse (Spark/Delta/medallion/materialized lake views), Warehouse (T-SQL/ACID), Data Factory (mirroring/copy-job/dataflow-gen2/pipelines), Real-Time Intelligence (Eventstream/Eventhouse/KQL/Activator), Direct Lake semantic models, and platform admin (capacity FinOps, OneLake security, domains, Purview, ALM). citation-grounded knowledge bank (two Mermaid decision trees + a dated 2026 capability map), templates, an advisory hook (house opinions). Seams: enterprise Microsoft/Fabric here vs non-Microsoft/SMB embedded to data-platform; Fabric storage + Direct Lake here vs standalone Power BI/.pbix to power-platform/power-bi-engineer. Requires ravenclaude-core@>=0.7.0.

9 on GitHubby Matt Corbettv0.8.12MITupdated today
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Plugin microsoft-fabric from marketplace ravenclaude in mcorbett51090/RavenClaude. Commands read from the repo's manifest — today.

This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.

What it installs

Skills (5)

  • capacity-sizing-and-isolation

    Playbook for sizing Fabric capacity SKUs, isolating noisy workloads across capacities, configuring surge protection and smoothing, and diagnosing throttling — the FinOps and operations companion to the capacity-finops knowledge file.

  • direct-lake-gold-shaping

    Playbook for shaping OneLake gold Delta tables to serve a Direct Lake semantic model efficiently — covers framing prerequisites, column naming rules, fallback prevention, and the on-OneLake vs on-SQL mode selection.

  • fabric-alm-promotion

    Playbook for promoting Fabric workspace items from dev to test to prod using Git integration, deployment pipelines, and the Fabric CLI — covers branch strategy, metadata-only deploys, and the pre-promotion checklist.

  • fabric-ingestion-method-selection

    Decision playbook for choosing the right Fabric data ingestion method — Mirroring, Copy job, pipeline Copy activity, Dataflow Gen2, or Eventstream — based on source type, latency, cost, and CDC requirements.

  • medallion-layer-design

    Playbook for designing bronze/silver/gold medallion layers on OneLake — per-layer V-Order, file-size targeting, partitioning vs Liquid Clustering, deletion vectors, and materialized lake view decisions.

Slash commands (5)

  • /microsoft-fabric:build-medallion-lakehouse

    Build a medallion lakehouse on OneLake — bronze raw/immutable, silver conformed, gold business-ready — with each layer's own write pattern, V-Order and file-shape tuned per layer, and gold shaped to the Direct Lake contract.

  • /microsoft-fabric:design-fabric-topology

    Design a Microsoft Fabric topology — traverse the store-selection tree (lakehouse / warehouse / eventhouse), decide shortcut vs mirror vs copy, lay out the medallion across workspaces, and place workloads on the right capacity.

  • /microsoft-fabric:model-direct-lake-semantic

    Model a Direct Lake semantic model on Fabric — name the mode (on-OneLake vs on-SQL) first, build a star schema over conformed gold, declare relationships, and design gold to that mode's failure shape so framing never errors or falls back.

  • /microsoft-fabric:review-capacity-and-cost

    Review a Fabric capacity for cost and throttling — measure smoothed usage over days with the Capacity Metrics app, right-size to average not peak, isolate noisy workloads from interactive BI, and tune surge-protection thresholds.

  • /microsoft-fabric:scaffold-ingestion-pipeline

    Scaffold a Fabric data-ingestion pipeline — pick the movement method from the decision tree (mirror / copy job / pipeline), make the load incremental and idempotent with a watermark control table and MERGE-on-key, and reframe Direct Lake as the final step.

Subagents (7)

  • data-factory-engineer

    Use this agent to get data INTO Fabric — traverses the data-movement decision tree (Mirroring / Copy job / pipelines / Eventstream / Dataflow Gen2) and designs the ingestion: NOT for transforms once data lands (lakehouse-engineer) or store selection (architect).

  • fabric-admin

    Use this agent for Fabric platform administration — capacity & FinOps (SKU sizing, CU, throttling, isolation), OneLake security (workspace roles vs RLS/CLS/OLS), Purview, and ALM/CI-CD. NOT for building data artifacts (the workload engineers); auth/secret/PII changes route through security-reviewer.

  • fabric-architect

    Use for Microsoft Fabric architecture decisions — workspace/domain topology, capacity sizing & SKU choice, store-selection (lakehouse / warehouse / eventhouse / SQL DB / Cosmos / shortcut), shortcut-vs-mirror, and medallion layout. NOT for building artifacts, standalone Power BI, or non-Fabric work.

  • fabric-semantic-model-engineer

    Use this agent for Power BI semantic models ON Fabric — Direct Lake (on-OneLake vs on-SQL), framing, storage-mode choice, PBIP/TMDL git-deployable models, and everyday Direct Lake measure correctness. NOT for advanced DAX or .pbix report craft (power-platform/power-bi-engineer).

  • lakehouse-engineer

    Use this agent to build the Fabric Lakehouse + Spark/Python data-engineering layer — medallion bronze/silver/gold, Delta with V-Order, notebook authoring, and gold shaping for Direct Lake.

  • realtime-intelligence-engineer

    Use for Fabric Real-Time Intelligence — Eventstream ingestion/routing, Eventhouse + KQL databases, KQL queries, Real-Time dashboards, Activator alerts/triggers, and streaming anomaly detection. NOT for batch ingestion (data-factory-engineer), warehouse/lakehouse modeling, or ML (data-engineer).

  • warehouse-engineer

    Use to build and optimize the Fabric Data Warehouse — T-SQL ELT, star-schema modeling, multi-table ACID, the SQL analytics endpoint, and SQL-native security (RLS/CLS/masking/OLS).

MCP servers (1)

  • microsoft-learn

    connects to: https://learn.microsoft.com/api/mcp

Hooks (1)

  • PreToolUse

    /usr/bin/env -u BASH_ENV -u ENV -u SHELLOPTS -u BASHOPTS -u LD_PRELOAD -u LD_LIBRARY_PATH -u LD_AUDIT -u DYLD_INSERT_LIBRARIES -u DYLD_LIBRARY_PATH -u PYTHONPATH -u PYTHONSTARTUP PATH=/usr/local/bin:/

View source on GitHub mcorbett51090.github.io

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Power Platform specialist team — agents (incl. power-platform-tester, power-bi-engineer) and skills, with strong ALM/git coverage for solutions, flows, and PBIP. A house-opinions hook flags 8 §3/§4 violations; the knowledge bank carries production decision trees (PA-flow recovery, Dataverse token-acquisition, PCF React surface, PBI deploy/refresh, custom-connector build-path, PBIR Enhanced infinite-spinner debug + full build reference, DAX silent-zero scoring via the `Domain` pattern, sempy.fabric notebook reference, Power BI Copilot report-readiness, Code Apps connector gotchas, PBIP deployment variables + #839, PBIR reference enrichment, PBIP report fast-solve triage router [MCP-optional], main-forms-are-Web-API-authorable grounding) plus a real-engagement scenarios bank. Bundles the community pbix-mcp server (d0nk3yhm/pbix-mcp, MIT) for .pbix/.pbit read/write/DAX-eval (`pip install pbix-mcp`); documents (not bundles) the official Microsoft Dataverse MCP (CLAUDE.md §9a). Extends ravenclaude-core.

24 skills · 8 commands · 11 agents · 1 MCP server · hooks

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finance

claude

Corporate finance & FP&A specialist team — FP&A analyst (budgets, forecasts, variance commentary), financial modeler (3-statement, DCF, scenarios), controller (close, JEs, reconciliations), treasury analyst (cash, covenants, FX), valuation analyst (DCF + comps + precedent), audit-prep specialist (PBC, walkthroughs, SOC1/2 narratives), and board-pack composer. skills incl. a gold-standard NetSuite close (OAuth2 M2M + SuiteQL BS/IS trial balance, layperson runbook), templates, a knowledge bank (ASC 805 / 718 / 740, accrual-cutoff, WACC, cost accounting, FP&A operating model + decision support, NetSuite integration landscape), advisory hooks (hardcoded rates / plaintext PII / missing Sources / Assumptions; secrets-PII scan). Inherits ravenclaude-core protocols.

23 skills · 7 commands · 7 agents · hooks

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Web design & build specialist team — web architect (IA, stack, hosting), UX designer (wireframes, flows, conversion), visual designer (brand, typography, tokens), frontend implementer (HTML/CSS/JS, React, Astro, Next), content strategist (copy, microcopy, SEO content), accessibility auditor (WCAG 2.2 AA/AAA), and performance engineer (Core Web Vitals, image/font optimization). skills (the gold-standard-website-pipeline gated build pipeline, static-site build, design-system audit, card/tile UI, accessibility review, Core Web Vitals tuning, technical SEO audit, information architecture, conversion design, content audit, design-tokens scaffolding, third-party hygiene, Fluent UI v9 + React implementation), templates, an advisory hook, and a knowledge bank seeded with a curated 2026 reference set of "cutting edge yet simple" marketing-site donors — the design agents carry compact inline priors plus a pointer to the full brief. Inherits ravenclaude-core protocols.

19 skills · 7 commands · 7 agents · hooks · LSP

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EdTech-flavored Partner Success Manager team — specialist agents anchored on the PSM lane, with skills, templates, an advisory hook, a knowledge bank with Mermaid decision trees, a engagement bank, and a stdlib psm_calc.py calculator (seat-utilization / renewal-NRR-forecast / time-to-value). Covers QBRs, success plans, health scores, a self-contained Power-BI-style partner-health report, onboarding, touchpoint logs, adoption sequencing, 90-day implementation arcs, train-the-trainer curricula, advocacy/reference pipelines, renewal decision memos, and the integration contract for a centralized CS dashboard (Planhat + Salesforce + Snowflake + Zapier + Granola). Team growth ships as skills + knowledge + templates, not parallel agents. Primary-source citations with retrieval dates. Vertical-explicit but segment-agnostic — fits K-12, higher-ed, corporate L&D, or mixed EdTech books. Inherits ravenclaude-core protocols including the alternate-methods Capability Grounding Protocol.

17 skills · 5 commands · 6 agents · hooks

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Financial-regulatory & compliance specialist team — function agents (AML/KYC, regulatory-reporting, risk-and-controls, policy & procedure, examination-prep, Bermuda-insurance) PLUS jurisdiction/regulator specialists: BMA financial-institutions (banking, trust, corporate-services, fund-admin, investment-business, money-service, digital-assets — the primary build-out, with deep AML/ATF + supervision/fees + licensing-classification trees), CIMA (Cayman), Bahamas, Channel Islands (Jersey JFSC + Guernsey GFSC), UK PRA, and US federal+state. primary-source-cited regulator knowledge files, best-practice rules, skills, templates, a defensive PreToolUse hook (PII scrub — SSN/IBAN/credit-card/Bermuda TIN/wire instructions). Positioning reflects field experience inside a Tier-1 financial regulator (BMA). Inherits ravenclaude-core protocols.

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