110 boosters for "architecture" — open source, verified from GitHub, ready to install
Backend Architect is an AI agent that provides expert guidance on scalable system design, database architecture, API development, and cloud infrastructure. It's ideal for developers and teams building robust, secure server-side applications and microservices.
A specialized agent that guides users through designing, building, and operating scalable data pipelines and lakehouse architectures. Data engineers, analytics engineers, and platform teams use this to architect reliable ETL/ELT systems and cloud data infrastructure.
Narrative Designer is a story systems architect agent that helps game developers design branching dialogue, lore architecture, and environmental storytelling aligned with their game design documents across all engines. It benefits narrative designers, game designers, and indie devs needing structured dialogue and story systems.
A specialized agent that analyzes search query data to identify optimization opportunities, build negative keyword strategies, and align queries with user intent—enabling paid search managers to reduce wasted spend and capture high-intent traffic. Ideal for PPC professionals, marketing agencies, and e-commerce teams managing large-scale search campaigns.
PPC Campaign Strategist is an AI agent that designs and optimizes large-scale paid search campaigns across Google, Microsoft, and Amazon platforms, helping marketing teams architect scalable account structures and bidding strategies from $10K to $10M+ monthly spend.
An expert Solidity developer agent that guides smart contract architecture, gas optimization, and security-first design for EVM chains. Ideal for blockchain developers building DeFi protocols and production-grade contracts.
Level Designer is a spatial storytelling specialist agent that guides developers through layout theory, pacing, encounter design, and environmental narrative to create cohesive game levels. Game designers, level architects, and narrative designers benefit from its expertise across all major engines.
A specialized agent that designs and debugs conversion tracking infrastructure across major platforms (GTM, GA4, Google Ads, Meta, LinkedIn), helping marketing teams ensure accurate measurement and attribution of paid media spend.
A specialized security expert agent that performs threat modeling, vulnerability assessment, and secure code review to help developers build secure applications and cloud infrastructure. Ideal for security-conscious development teams and engineers seeking expert-level security guidance.
Full-stack agile AI framework with 12+ specialized agents (PM, Architect, Dev, UX) and 34+ workflows. Installs via npx into Claude Code, Cursor, Windsurf — covers the entire dev lifecycle from brainstorming to deployment.
 A comprehensive production-ready system combining 112 specialized AI agents, 16 multi-agent workflow orchestrators, 146 agent skills, and 79 development tools organized into 72 focused, single-purpose plugins
Use when the user wants recent, cross-source evidence from the last 30 days. The runtime is a single v3 pipeline: 3. normalize and dedupe
Generates repository-grounded threat models that identify trust boundaries, assets, attack paths, and mitigations in application code. Ideal for security engineers and developers performing AppSec threat modeling on specific codebases.
A UX-focused design critique skill that evaluates interface effectiveness across visual hierarchy, information architecture, and emotional resonance, providing actionable feedback. Useful for designers and developers seeking structured design feedback within Claude Code.
You are the ZCF Testing Specialist for the ZCF (Zero-Config Code Flow) project.
You are the TypeScript CLI Architecture Specialist for the ZCF (Zero-Config Code Flow) project.
LikeC4 Language Server enables architecture-as-code development with IDE support for the C4 model, allowing software architects and developers to design and visualize system architectures through code.
Claude Code Workflow is a JSON-driven multi-agent development framework that orchestrates AI-powered CLI workflows across multiple LLM providers (Gemini, Qwen, Codex) for automated code development tasks. It benefits developers and teams seeking to automate complex development workflows with intelligent context management and multi-agent coordination.
This booster analyzes Rust codebases and provides prioritized refactoring suggestions to improve clean architecture compliance with actionable code examples. It's valuable for Rust developers and teams seeking to maintain architectural standards and code quality.
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "sentrux-marketplace", "description": "Sentrux — live codebase visualization and structural quality gate for AI-agent-written code",
Use this agent when documentation in the `architecture/` directory needs to be updated or created for a specific file after implementing a feature, fix, refactor, or behavior change. Launch one instance of this agent per file that needs updating. This agent maintains the *contents* of architecture documentation files — it does not decide which files exist or how the directory is organized.\n\nExamples:\n\n- Example 1:\n Context: A developer just finished implementing OPA policy evaluation in the sandbox system.\n user: "I just finished implementing the OPA engine in crates/openshell-sandbox/src/opa.rs. Update architecture/sandbox.md to reflect the new policy evaluation flow."\n assistant: "I'll launch the arch-doc-writer agent to update the sandbox architecture documentation with the new OPA policy evaluation details."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/sandbox.md>\n\n- Example 2:\n Context: A refactor changed how the HTTP CONNECT proxy handles allowlists.\n user: "The proxy allowlist logic was refactored. Please update architecture/proxy.md."\n assistant: "Let me use the arch-doc-writer agent to synchronize the proxy documentation with the refactored allowlist logic."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/proxy.md>\n\n- Example 3:\n Context: After implementing a new CLI command, the assistant proactively updates docs.\n user: "Add a --rego-policy flag to the CLI."\n assistant: "Here is the implementation of the --rego-policy flag."\n <implementation complete>\n assistant: "Now let me launch the arch-doc-writer agent to update the CLI architecture documentation with the new flag."\n <uses Task tool to launch arch-doc-writer with instructions to update architecture/cli.md>\n\n- Example 4:\n Context: A user wants high-level overview documentation for a non-engineering audience.\n user: "Update architecture/overview.md with a non-engineer-friendly explanation of the sandbox system."\n assistant: "I'll launch the arch-doc-writer agent to create an accessible overview of the sandbox system for non-technical readers."\n <uses Task tool to launch arch-doc-writer with audience=non-engineer directive>\n\n- Example 5:\n Context: Multiple files need updating after a large feature lands.\n user: "I just landed the network namespace isolation feature. Update architecture/sandbox.md and architecture/networking.md."\n assistant: "I'll launch two arch-doc-writer agents — one for each file — to update the documentation in parallel."\n <uses Task tool to launch arch-doc-writer for architecture/sandbox.md>\n <uses Task tool to launch arch-doc-writer for architecture/networking.md>
Use this agent to review existing code, audit plans, evaluate product requirements, or get architectural guidance that balances pragmatism, user experience, and security. This includes code reviews, plan audits, architecture reviews, security assessments, or when building engineering and development plans from requirements. Use proactively after significant code changes or before merging.
This booster provides expert guidance for developing, debugging, and optimizing Azure AI Document Intelligence applications, covering architecture, security, best practices, and deployment patterns. Developers building document processing solutions on Azure will benefit from its comprehensive troubleshooting and design pattern knowledge.
"name": "swift-testing-expert", "description": "Expert Swift Testing guidance for test structure, #expect/#require usage, traits and tags, parameterized tests, async waiting patterns, parallel execution, and XCTest migration.", "name": "Antoine van der Lee",
