Claude app-engineering specialist team — 6 agents (claude-solution-architect, prompt-and-context-engineer, mcp-and-server-tools-engineer, agent-sdk-engineer, eval-engineer, claude-app-ops-engineer) for building production applications on the Claude API, the Claude Agent SDK, and MCP. Covers the build-surface decision (Messages API / Agent SDK / Managed Agents), model right-sizing (Opus 4.8 / Sonnet 4.6 / Haiku 4.5, 1M context), prompt caching, tool use + structured output, MCP server authoring + Anthropic-hosted server tools (computer use, code execution, Files API, memory), evals (golden sets, LLM-as-judge), and FinOps + reliability (batch, model routing, backoff, observability). 15-doc dated-and-cited knowledge bank, 6 templates, 1 advisory hook (14 house opinions). Seams: prompt-as-artifact, security, and cross-domain architecture escalate to ravenclaude-core. Requires ravenclaude-core@>=0.7.0.
Lay out a Claude prompt for a high cache-hit rate — stable content (tools, system, static context) above the cache_control breakpoint, volatile content (timestamps, the incoming message, fresh tool results) below, tool defs never mutated per request.
Build an eval harness that gates prompt/model/tool changes — assemble a golden set and graders before the change, report a delta vs prior so 'looks better' becomes a number, and for RAG eval the retriever (recall@k, MRR) separately from the generator.
Choose the build surface and architecture for a Claude-backed feature — traverse the decision tree (Workbench/Messages/Agent SDK/Managed Agents), right-size the model with a routing ladder, and decide RAG vs long-context, measuring cost-per-resolved-task.
Engineer a Claude prompt and its context window — climb the leverage ladder (clear+direct+examples first, multi-agent last), curate the right tokens and compact stale history, force structured output via a tool, and keep thinking config stable and dated.
Decide MCP server vs in-process tool and build it right — MCP for genuine cross-client reuse, in-process for a one-off; expose the fewest idempotent tools, authenticate every request, design the tool as a contract, and return actionable errors.
Use this agent to build agents with the Claude Agent SDK (Python/TypeScript) or Managed Agents — subagents, hooks, skills, slash commands, sessions (resume/fork), permissions/sandboxing, plan mode, MCP wiring, and the prototype-to-Managed-Agents move.
Use for Claude app production ops — token-cost FinOps (cache hit rate, the model routing ladder, Batch API, cost-per-resolved-task), reliability (429/overloaded backoff + jitter, idempotency), and observability. NOT for prompt/caching design (prompt-and-context-engineer); security → core.
Use this agent to decide HOW to build a Claude-backed feature — the build-surface choice (Messages API vs Claude Agent SDK vs Managed Agents vs Workbench), model right-sizing (Opus 4.8 / Sonnet 4.6 / Haiku 4.5, 1M context), the deployment target (Claude API vs Bedrock vs Vertex vs Foundry).
Use this agent to measure Claude app quality — eval design, golden datasets, programmatic + LLM-as-judge grading, regression suites, and the before/after delta that gates a prompt/model/tool change.
Use to connect Claude to external systems — authoring MCP servers (tools/resources/prompts/sampling over stdio / SSE / Streamable HTTP, with auth) and using Anthropic-hosted server tools (computer use, code execution, web search/fetch, Files API, memory). NOT for in-app tool design or the SDK loop.
Playbook for constructing a high-signal golden evaluation set: sampling strategy, input diversity, reference-answer authoring, grader pairing, and the minimum-viable size thresholds that make a delta meaningful. Owned by eval-engineer.
Playbook for designing a cost-optimised model routing ladder: classifying request complexity, wiring the triage→escalate flow, measuring cost-per-resolved-task, and avoiding the common over-provisioning traps. Owned by claude-app-ops-engineer and claude-solution-architect.
Gate-by-gate checklist for shipping a production MCP server: transport selection, tool-schema quality, auth wiring, error-response contract, and the security hand-off items that must escalate to core/security-reviewer. Owned by mcp-and-server-tools-engineer.
Playbook for designing Claude Agent SDK hooks (PreToolUse, PostToolUse, SessionStart, Stop) — selecting the right event, writing the handler contract, deciding advisory vs blocking behaviour, and avoiding the four common hook anti-patterns. Owned by agent-sdk-engineer.
Playbook for allocating a Claude context window across system prompt, retrieved documents, conversation history, and tool results — with token-budget formulas, the retrieve-vs-hold decision, and the compaction triggers that prevent context overflow. Owned by prompt-and-context-engineer.
Modifies files
Hook triggers on file write and edit operations
Uses power tools
Uses Bash, Write, or Edit tools
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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 164 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.AI 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.
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).
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.
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.
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.
npx claudepluginhub mcorbett51090/ravenclaude --plugin claude-app-engineeringHarness-native ECC operator layer - 67 agents, 278 skills, 94 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems
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.
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.
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.
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques