Power Platform specialist team — 11 agents (incl. power-platform-tester, power-bi-engineer) and 23 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]) 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.
Build a performant canvas app — delegation-first data access (no non-delegable warnings at scale), an OnStart/OnVisible performance budget, named formulas + With() over repeated work, Patch with defaults + IfError, and a clear canvas-vs-model-driven-vs-code-app call.
Build a Copilot Studio agent the right way — route topic vs generative deliberately, select and scope grounding sources, and add escalation + guardrails so the agent hands off cleanly and never answers outside its grounding.
Design a Dataverse table/column schema correctly — choice vs lookup vs customer column, alternate keys for upsert, where to enforce logic (business rule vs rollup vs plug-in), avoiding cascade-on-high-volume-child, least-privilege security roles, and field-level security used sparingly.
Harden Power Platform tenant governance — default-deny DLP policies, environment strategy + isolation, secure the default environment, managed environments + sharing limits, and licensing/capacity awareness. The power-platform-admin's tenant-safety checklist.
Model a Power BI semantic model the right way — star schema not a flat table, measures not calculated columns, deliberate storage mode (Import/DirectQuery/Direct Lake), and row-level security tested as the role. Includes DAX-correctness-as-code.
Use this agent for Copilot Studio (formerly Power Virtual Agents) bot design and AI Builder integration — topics, generative answers, knowledge sources, AI Builder models, AI Credit budgeting, bot channels, and 'Copilot Studio vs Azure OpenAI' decisions. NOT for general flow work (flow-engineer).
Use this agent for Dataverse data modeling, security model design, plug-ins, and business rules. Spawn for 'design these tables', 'model this security', 'should this be a plug-in or a flow', 'audit this schema', or 'migrate this from SharePoint/Excel to Dataverse'.
Use for Power Automate work — cloud flows, desktop flows (RPA), custom connectors, triggers, expressions, error handling. Spawn for flow build/review/troubleshooting or "Power Automate vs Logic Apps vs Function App?". NOT for canvas apps (power-fx-engineer) or data modeling (dataverse-architect).
Use for model-driven app construction — site maps, app modules, forms, views, dashboards, business process flows, command bar customization, JS web resources, and form scripting via Xrm/formContext APIs. NOT for data modeling (dataverse-architect) or canvas-only Power Fx (power-fx-engineer).
Use for Power Apps Component Framework (PCF) custom controls — TypeScript, manifest, lifecycle, build, package, register. Pro-code lane, when canvas / Custom Pages cannot deliver the required UI. NOT for canvas formulas (power-fx-engineer) or model-driven JS web resources (model-driven-engineer).
Design end-to-end ALM pipelines for Power Platform solutions — pac CLI primitives, Azure DevOps multi-stage pipelines, source-control unpacked solutions, env-var + connection-reference promotion across DEV → TEST → UAT → PROD, managed-vs-unmanaged discipline. Used by `solution-alm-engineer` (primary).
Diagnose and fix Power Fx canvas app performance — delegation as a P1 design constraint, lazy-load patterns, Concurrent() vs sequential, ClearCollect vs collection growth, OnStart vs OnVisible, screen-transition cost, control-count budgets per screen, and the connector-call audit via Monitor. Used by `power-fx-engineer` (primary).
Deep code audit that finds dead wiring, silent failures, unfinished features, placeholder stubs, bloated files, and unnecessary complexity. Produces an actionable report with file:line references grouped by severity. Think of it as a senior dev doing a thorough PR review of the entire codebase. Triggers on: "code review", "audit the code", "review the code", "find dead code", "find placeholders", "check for stubs", "prune the code", "code cleanup", "implementation review", "completeness check", "find unused code".
Design Copilot Studio bots — topic vs generative-answers boundaries, knowledge-source hygiene, trigger-phrase design, slot-filling patterns, escalation-to-human criteria, AI Builder vs prompt-flow vs direct Azure OpenAI decisions, and the test-set discipline that catches regressions on every authoring change. Used by `copilot-studio-engineer` (primary).
Validate a Dataverse create/update payload against LIVE entity metadata in ONE pass — before you POST/PATCH — so you never fix-one-field-and-retrigger. Catches nonexistent columns, invalid option-set values, malformed/missing lookup binds, missing required fields, and the owner-not-provided (SPN-create) trap together. Run it on the FIRST create failure, or up front when a human re-fire or long run gates each test.
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
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Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
A private Claude Code plugin marketplace — bundled team rules, specialist agents, dispatch playbooks, and templates that travel with you across projects.
🚀 ▶ See what RavenClaude is (
pitch.html) — the one-page pitch: the value prop, the proof, and the plugin catalog at a glance. Start here. (Or view the raw HTML source, or download and open locally — no server, no build step.)🏠 ▶ Open the landing page (
index.html) rendered in your browser — the front door: a navigable home with the plugin catalog, the specialist roster, and a comfort-posture starter. Regenerated from the manifests on every release.(Or view the raw HTML source, or download and open locally — no server, no build step.)
🎛 ▶ Open the RavenClaude dashboard — point-and-click editor for your
.ravenclaude/comfort-posture.yaml: set per-tool file, network, shell, and package autonomy across three levels (deny → ask → allow) — per layer (user / local / project) and per individual permission — without editing YAML by hand. (That link is the published, read-only preview; to use it for real — where Save & apply writes your repo's config — runrc dashboardfrom your project, the one canonical launcher across Claude Code, Copilot CLI, and a bare terminal.)
🖥 Working on this repo? Launch the functional local dashboard (where Save & apply actually writes this repo's config) with one command:
bash scripts/open-dashboard.sh. It kills any running dashboard server, starts a fresh one, and opens it in your browser automatically. (VS Code users: a.vscode/tasks.jsonwired as the default build task — Ctrl/Cmd+Shift+B — runs the same script;.vscode/is gitignored, so add it locally if you want the keybinding.)
📖 ▶ Open the RavenClaude portal — one self-contained page: browse every plugin, agent, skill, hook, rule, and template in the Marketplace section (with an “I want to…” use-case lookup), tune the comfort-posture Dashboard, and more. Regenerated from the manifests on every release.
(Or view the raw HTML source, or download and open locally — no server, no build step.)
🚀 ▶ First Workflow in 10 Minutes — install → dashboard → one governed multi-agent dispatch →
/wrap. The canonical onboarding walkthrough. Start here if you've never used RavenClaude before.
🌐 ▶ Raven Power ↗ — the consulting front door behind RavenClaude. This marketplace is the proof-of-craft; the website is where the engagements live.
Today this marketplace ships 160 plugins:
ravenclaude-core — domain-neutral Team Lead + 14 specialists (architect, coders, reviewers, designer, documentarian, deep-researcher, project-manager, partner-success-manager, prompt-engineer, data-engineer, etc.), plus dispatch playbooks (with a Cross-plugin dispatch section), gates, 43 skills, 16 hooks, templates, and the cross-project contribution-staging loop.power-platform — 11 Microsoft Power Platform specialists (Power Fx, flows, Power BI, Dataverse, model-driven, PCF, Copilot Studio, Power Pages, admin, ALM, tester), 21 skills, an advisory house-opinions hook covering 8 checks, and the bundled pbix-mcp MCP server.finance — 7 corporate-finance & FP&A specialists (FP&A analyst, financial modeler, controller, treasury, valuation, audit-prep, board-pack composer), 9 skills, templates, advisory anti-pattern hook.regulatory-compliance — 12 financial-regulatory specialists (6 function: AML/KYC, regulatory reporting, risk-and-controls, policy & procedure writer, examination prep, Bermuda-insurance; plus 6 jurisdiction: BMA, CIMA Cayman, Bahamas, Channel Islands, UK PRA, US), 10 skills, templates, defensive PII-scrub hook.web-design — 7 web specialists (web architect, UX, visual, frontend implementer, content strategist, accessibility auditor, performance engineer) with WCAG 2.2 AA/AAA, Core Web Vitals, SEO/AEO, and Fluent + React discipline. 11 skills, templates, advisory web anti-pattern hook.edtech-partner-success — 6 K-12 EdTech partner-success specialists (partner-success manager, success-playbook designer, learning-analytics analyst, QBR composer, partner-profile curator, FERPA comms translator) with 16 skills and a knowledge bank of operating cadences.npx claudepluginhub mcorbett51090/ravenclaude --plugin power-platformAI multimedia for brand & winery sites: a creative brief -> on-brand, web-optimized, license-clean images/video/3D/audio behind a mandatory human curation gate. 4 agents (generation-strategist, web-asset-pipeline-engineer, asset-provenance-guardian, brand-and-accessibility-reviewer) route a brief to the right generator (provider-neutral, Grok-lean for images where competitive; inpaint/outpaint/bg-removal/upscale first-class), turn raw output into AVIF/WebP responsive <picture> markup with LCP/CLS-safe embeds, pin commercial-use licenses (flags the FLUX-dev non-commercial trap; C2PA + a provenance ledger; EU AI Act Art.50 disclosure), and gate every asset on brand-hex/style conformance + WCAG alt text before ship. 6 skills, 4 knowledge docs (Mermaid decision trees; all prices [unverified]), 6 best-practices, 4 commands, 5 templates, 4 scripts. The shared foundation the brand-identity-studio plugin consumes. Declarative fal MCP binding (set FAL_KEY). Requires ravenclaude-core@>=0.7.0.
AI/LLM red-teaming team — 2 agents (ai-redteam-lead, adversarial-testing-engineer) for the layer answering 'can this AI system be made to do harm, leak data, or exceed its authority — and how do we harden it?': threat modeling + rules of engagement, the attack taxonomy (OWASP LLM Top 10 2025 + MITRE ATLAS), direct vs indirect prompt injection, jailbreaks (roleplay/encoding/many-shot/crescendo), data exfiltration & training-data extraction, agentic tool-abuse / excessive agency, multimodal attacks, and defense-in-depth remediation. Fluent in automated red-team harnesses (PyRIT, Garak, Promptfoo red-team, Giskard) and likelihood×impact severity. 3 skills, a 2-doc knowledge bank (attack-taxonomy decision tree + 2026 patterns), and 2 templates. Distinct from llm-evaluation-engineering (quality-regression eval), trust-and-safety (content-moderation / T&S policy), and security-engineering (app/infra pentest) — the adversarial AI-security layer over model- and agent-based systems. Requires ravenclaude-core@>=0.7.0.
Corporate finance & FP&A specialist team — FP&A analyst, financial modeler, controller, treasury analyst, valuation analyst, audit-prep specialist, and board-pack composer. Ships 23 skills including the controller-autopilot: a governed close-to-report cycle (GAAP statements, COA mapping, reconciliation auto-match, review→approve→lock workflow, ELT staging, consolidation, per-entity dashboard, close schedules) plus its live-integration tier (multi-currency remeasurement + CTA, OAuth GL connectors + drill-through lineage, warehouse/RLS dashboard, IdP-backed segregation of duties) and a gold-standard NetSuite close (OAuth2 M2M + SuiteQL BS/IS trial balance, COA-draft, tie-out doctor, changed-after-sign-off drift, layperson runbook). 10 templates, a knowledge bank, and 2 advisory hooks (anti-patterns + secrets/PII scan). Inherits ravenclaude-core protocols (Grounding, Structured Output, Cited-Adjudicator).
Project & delivery management team — four specialists across the predictive (PMBOK/PMP) and agile (Scrum/Kanban) tracks and the hybrid between: delivery-lead (charter, schedule, scope/change control, earned value), scrum-master (backlog, sprints, ceremonies, velocity, impediments), risk-and-raid-analyst (scored qual+quant risk, RAID depth, mitigation/contingency, issue triage), and stakeholder-comms-lead (stakeholder register, comms plan, status/exec reporting, escalation memos, steering packs). Deepens — does NOT replace — ravenclaude-core's domain-neutral project-manager (the lightweight RAID/status-hygiene default every plugin routes to); this is the deep PM craft layer. Knowledge: a predictive-vs-agile-vs-hybrid decision tree + a best-practices library. Seams: prose polish → ravenclaude-core/documentarian; system design → architect. Requires ravenclaude-core@>=0.7.0.
Chaos-engineering & resilience team — 2 agents that make distributed systems survive failure. resilience-architect owns the DESIGN side: failure-mode analysis (FMEA), resilience patterns (timeouts, retries with backoff+jitter, bulkheads, circuit breakers, load shedding, graceful degradation, idempotency), the observability-maturity gate for whether you're ready to run chaos, and redundancy/DR (multi-AZ/region, failover, RTO/RPO). chaos-experiment-engineer owns the EXPERIMENT + VERIFICATION side: hypothesis-driven experiments, blast-radius containment (automatic abort/rollback), game days, fault injection (latency/error/resource/dependency-outage/partition/zone), and verifying the pattern held under load+fault. 3 skills, a 2-doc knowledge bank (decision trees + a dated 2026 patterns reference), 2 templates. Distinct from observability-sre (metrics/SLO/on-call — a hard prerequisite), devops-cicd (progressive delivery), performance-engineering (load), incident-response-dfir. Requires ravenclaude-core@>=0.7.0.
Complete creative writing suite with 10 specialized agents covering the full writing process: research gathering, character development, story architecture, world-building, dialogue coaching, editing/review, outlining, content strategy, believability auditing, and prose style/voice analysis. Includes genre-specific guides, templates, and quality checklists.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
Evidence-gated AI coding workflow: scan → analyze → plan → TDD → execute → fix → verify → review, powered by Codebase Memory MCP >= 0.9.0 with optional Serena LSP intelligence. Includes blast-radius planning, test/cycle gates, independent review, and Windows Git Bash hook auto-resolution.