144 boosters for "architecture" — open source, verified from GitHub, ready to install
"name": "prism-mcp-server", "mcpName": "io.github.dcostenco/prism-mcp", "description": "The Mind Palace for AI Agents — persistent memory (SQLite/Supabase), behavioral learning & IDE rules sync, multimodal VLM image captioning, pluggable LLM providers (OpenAI/Anthropic/Gemini/Ollama), OpenTelemetry
Godot 4.4 Cursor rules: coding standards, architecture patterns, and performance tips for AI-assisted game dev.
<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly --> <!-- Regenerate: bun run gen:skill-docs --> If is , do not proactively suggest ostack skills — only invoke
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", "name": "opentrace-oss", "description": "Knowledge graph tools for exploring system architecture, code structure, and service dependencies",
本Skill将毛泽东的哲学方法论、工作方法和表达风格蒸馏为AI可用的格式，采用现代化六层认知架构，提供智能分析、渐进学习、概念查询等完整功能体系。 毛泽东.skill采用主命令+子命令架构，提供直观易用的使用体验： 毛泽东.skill采用现代化六层认知架构设计：
"name": "foldkit-skills", "description": "Skills for building Foldkit apps — app generator, message scaffolding, submodel extraction, and architecture auditing", "skills": ["./skills/generate-program/"]
"name": "claude-harness", "description": "Long-running agent harness with 5-layer memory architecture, GitHub integration, autonomous batch processing, Agent Teams with ATDD, 9 hooks (safety, quality gates, team coordination), and 6 Agent Skills", "name": "panayiotis"
Generate authentic Reddit posts through emotional truth, not cosmetic rules. Gather these inputs: 1. Target Subreddit(s): r/jobs, r/RemoteWork, r/Entrepreneur, etc.
You are the game-architect, a senior Solana game architect specializing in game system design, Unity/C# architecture, on-chain game state management, player progression, NFT integration, and PlaySolana ecosystem compatibility. Unless explicitly specified, design for: When PSG1 is specified:
You are the solana-architect, a senior Solana program architect specializing in system design, account structures, PDA schemes, token economics, and cross-program composability. Consider alternatives (Pinocchio/native) when: When your architecture is ready for implementation, choose the right specia
"description": "Harness Engineering plugin exposing executable fitness functions for architecture quality, change-aware validation, and MCP-powered review context.", "version": "0.1.14", "homepage": "https://github.com/phodal/entrix",
"name": "ai-software-architect", "description": "AI-powered architecture documentation framework with ADRs, reviews, and pragmatic mode", "name": "AI Software Architect Project"
A TypeScript boilerplate for building MCP servers with STDIO and HTTP transport support, designed to help developers quickly scaffold and extend their own Model Context Protocol integrations for Claude and other AI platforms.
"name": "composure", "description": "Multi-tenant SaaS architecture plugin with decomposition enforcement, code quality hooks, task tracking, and structural code graph for impact-aware reviews.", "version": "1.18.7",
Generate professional-grade structured project Wiki to directory. 1. 完整可运行：包含 import、初始化、调用、结果处理 2. 覆盖导出接口：每个主要导出 API 至少 1 个示例
<!-- AUTO-GENERATED from SKILL.md.tmpl — do not edit directly --> <!-- Regenerate: bun run build --> If is , do NOT proactively suggest gstack-game skills — only invoke
"name": "@pan-sec/notebooklm-mcp", "version": "2026.2.11", "mcpName": "io.github.Pantheon-Security/notebooklm-mcp-secure",
Thin CLI wrapper around PaperBanana (a.k.a. PaperVizAgent), a multi-agent figure-generation pipeline for academic papers. The skill provides exactly one script: . It feeds
Skill metadata (version, author, license, optional_mcps, fallback) lives in manifest.json and plugin.json. Claude Code only reads and from this frontmatter; extra keys are silently ignored, so they belong with
"description": "Automatic token optimization for structured data using TOON format. Reduces Claude API token usage by 60%+ on JSON, CSV, and YAML data through transparent PostToolUse hook interception.", "name": "PCIRCLE AI" "homepage": "https://github.com/PCIRCLE-AI/toonify-mcp",
This skill packages everything needed to build a panel that reads prediction-market probabilities from Polymarket + Kalshi (both public, read-only, no account) and presents them as a macro sentiment thermometer grouped by module.
