Plugins

12 plugins

Google Cloud Well-Architected

For architects evaluating Google Cloud workloads against the Well-Architected Framework pillars: reliability, cost optimization, and operational excellence.

6 skills · plugin

Create Architecture Documentation

Create comprehensive architectural documentation with diagrams and ADRs for a codebase.

7 skills · plugin

Create Architectural Decision Record

Document architectural decisions with context, consequences, and alternatives in a standardized ADR format.

10 skills · plugin

Architecture Documentation with Diagrams

Install this pack to analyze a codebase and produce architectural docs with diagrams, technology stack blueprints, and folder structure blueprints.

9 skills · plugin

Superpowers Sage

Modern WordPress development with Sage, Acorn & Lando. Workflow skills: /architecture-discovery, /plan-generator, /building, /designing, /verifying (+ /architecting compatibility alias), with design tool integration, content modeling, visual verification, and comprehensive hooks.

36 skills · plugin

@alirezarezvani

Engineering Team

32 engineering skills: architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, Playwright (9 sub-skills), self-improving agent, Stripe integration, TDD guide, tech stack evaluator, Google Workspace CLI, a11y audit (WCAG 2.2), Azure cloud architect, GCP cloud architect, security pen testing, Snowflake development, adversarial-reviewer, ai-security, cloud-security,

16 skills · plugin

Create Onboarding Documentation

Generate audience-tailored onboarding guides for a codebase with architecture maps and entry points.

3 skills · plugin

Generate Codebase Documentation

Analyze a codebase and produce architecture docs, onboarding guides, and a README for new contributors.

10 skills · plugin

UX strategy skills: information architecture, content strategy, navigation patterns, user flows, task analysis, and competitive UX audits.

12 skills · plugin

Backend Framework Patterns

For developers building production-grade backends with NestJS, Spring Boot, or Ktor, covering architecture patterns and best practices.

7 skills · plugin

Pocock Engineering

Engineering workflow skills from Matt Pocock's skills repo (triage, to-issues, to-prd, tdd, prototype, diagnose, grill-with-docs, improve-codebase-architecture, zoom-out). Covers issue lifecycle, TDD, prototyping, architectural review, domain grilling, and PRD generation. NOT for: daily development workflow — install individual skills as needed.

7 skills · plugin

Conversational derivation engine — generate agent-native memory architecture from natural conversation. 15 kernel primitives, 26 commands, 17 feature blocks, 3 presets.

10 skills · plugin

Results for “architect”

23 skills

Defines a conceptual standard for autonomous agents, covering cognitive architecture, sensory integration, and tool-use protocols.

Defines the architecture and orchestration primitives for multi-agent teams, covering role allocation, conflict resolution, reward routing, and the operational lifecycle of agent collectives.

ai-first-engineering

Guides teams in adapting engineering processes, architecture, code review, and testing for high-volume AI-assisted code generation.

Design multi-agent system architectures, generate tool schemas for Anthropic and OpenAI formats, and evaluate execution logs for cost, latency, and failure bottlenecks.

20.4k · bundle

project-development

Guides project-level decisions for LLM-powered systems: task-model fit, pipeline architecture, token and cost estimation, and agent-assisted iteration.

16.9k · bundle

orchestra-research

Orchestrates end-to-end autonomous AI research projects using a two-loop architecture for rapid experimentation and synthesis, producing papers and presentations.

10.4k · bundle

More results

code-review-graph

Scopes code-review blast radius and detects architectural hotspots using Tree-sitter AST analysis and GraphRAG, with an MCP server for graph-based analysis.

google-cloud-solution-agentic-ai-bidirectional-streaming

Designs and implements a Google Cloud solution for live, bidirectional multimodal streaming workloads with AI agents, covering requirements discovery, architecture design, and deployment planning.

Build production-ready LLM applications, RAG systems, and intelligent agents with architecture design, model selection, and cost controls.

Guides building production-grade AI features with LLM integration patterns, RAG architecture, prompt engineering, and cost optimization.

leandrobenjaminl

senior-orchestrator

Orquesta el ecosistema de agentes: decide qué modelo o tier usar, delega tareas a sub-agentes especializados y planifica arquitectura técnica.

Build real-time voice and multimodal AI applications using Pipecat and Daily, covering pipeline architecture, AI service integration, and transport options.

Reference for building real-time voice and multimodal AI applications with Daily and Pipecat, covering pipeline architecture, AI service integrations, transports, and client SDKs.

efficient-fable

Orchestrate token-heavy research, coding, and testing by delegating bounded tasks to cheaper subagents while reserving Claude Fable for architecture, synthesis, and final review.

Designs persistent memory architectures for AI agents, covering cross-session knowledge retention, entity tracking, temporal validity, graph/vector retrieval, and memory consolidation.

16.9k · bundle

Configure and optimize .faf files, MCP servers, and bi-directional sync for AI context across multiple platforms, with championship scoring to achieve 85%+ AI-readiness.

context-engineering-collection

Provides structured guidance for building production-grade AI agent systems through context engineering, covering fundamentals, architectural patterns, operational excellence, and evaluation.

16.9k · bundle

bdi-mental-states

Model agent mental states using BDI (Beliefs, Desires, Intentions) ontology patterns, enabling cognitive reasoning, explainability, and semantic interoperability in multi-agent systems.

16.9k · bundle

Provides a reference for building real-time voice and multimodal AI agents with Pipecat, covering pipeline architecture, speech services, LLM integration, transports, and deployment.

Design tool descriptions, schemas, and response formats that agents can reliably route on, including MCP server design, tool-set consolidation, and naming conventions.

16.9k · bundle

Conducts autonomous multi-source research using a planner/executor architecture and an MCP server, with tools for deep research, quick search, report writing, and source retrieval.

Build persistent multi-agent operating systems on Claude Code with kernel architecture, specialist agents, slash commands, file-based memory, and scheduled automation.

sakamoto-family-smile

autonomous-loops

Patterns and architectures for running Claude Code autonomously in loops, from simple sequential pipelines to RFC-driven multi-agent DAG systems.