claude

data-orchestration

Data-orchestration team — agents (orchestration-architect, pipeline-orchestration-engineer) for the layer that RUNS and SCHEDULES data pipelines: orchestrator selection (Airflow, Dagster, Prefect, Mage, Temporal-for-data; cloud-native MWAA/Step Functions, Azure Data Factory, Cloud Composer/Workflows), DAG and software-defined-asset design, scheduling/triggers (cron, sensor, data-aware), backfills and catchup, idempotency and retries with exponential backoff, partitioning, freshness SLAs and alerting, and lineage. skills (choose-orchestrator, design-dag-and-dependencies, handle-backfills-and-retries), a knowledge bank (a Mermaid selection tree + a 2026 patterns reference), and templates. Distinct from data-platform (ELT/warehouse/BI), analytics-engineering (dbt), and data-streaming-engineering (real-time) — this is the scheduling/run layer they plug into. Requires ravenclaude-core@>=0.7.0.

9 on GitHubby Matt Corbettv0.1.2MITupdated today
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Plugin data-orchestration from marketplace ravenclaude in mcorbett51090/RavenClaude. Commands read from the repo's manifest — today.

What it installs

Skills (3)

  • choose-orchestrator

    Pick the right data-pipeline orchestrator for a described workload by traversing the orchestrator-selection decision tree (workload shape → latency → asset-centric vs task-centric → team/ops capacity → cloud lock-in → engine), then return the recommended engine, its scheduling model, its executor/ru

  • design-dag-and-dependencies

    Design a correct, minimal DAG or software-defined-asset graph for a pipeline — derive the real upstream→downstream edges, pick the partition grain, choose the scheduling/triggering model (cron / sensor-deferrable / data-aware-asset), and decide catchup behavior — then capture it in the DAG design do

  • handle-backfills-and-retries

    Make pipeline tasks safe to re-run and plan backfills that don't corrupt state — prove idempotency (deterministic partition keys, overwrite-by-partition), then add bounded retries with exponential backoff + jitter, and run a controlled backfill (partition strategy, catchup config, concurrency caps,

Subagents (2)

  • orchestration-architect

    Use to choose and shape the data-pipeline orchestration layer — 'Airflow vs Dagster vs Prefect?', 'cron vs sensor vs asset-based scheduling?', 'self-host or MWAA/Composer/ADF?'. Picks the orchestrator + scheduling model + executor for the workload. NOT for dbt transforms (analytics-engineering).

  • pipeline-orchestration-engineer

    Use to BUILD orchestration on a chosen engine — DAG/asset design, dependencies, scheduling/sensors, backfills + catchup, idempotent retries with backoff, partitioning, freshness SLAs + alerting, lineage. Airflow/Dagster/Prefect-fluent. NOT for engine selection (orchestration-architect).

View source on GitHub mcorbett51090.github.io

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

9

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

9

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

9

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

9

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.

11 skills · 5 commands · 12 agents · hooks

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