Plugins
12 pluginscurated
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
curated
Create Architecture Documentation
Create comprehensive architectural documentation with diagrams and ADRs for a codebase.
7 skills · plugin
curated
Create Architectural Decision Record
Document architectural decisions with context, consequences, and alternatives in a standardized ADR format.
10 skills · plugin
curated
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
@hekivo
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
curated
Create Onboarding Documentation
Generate audience-tailored onboarding guides for a codebase with architecture maps and entry points.
3 skills · plugin
curated
Generate Codebase Documentation
Analyze a codebase and produce architecture docs, onboarding guides, and a README for new contributors.
10 skills · plugin
@owl-listener
UX Strategy
UX strategy skills: information architecture, content strategy, navigation patterns, user flows, task analysis, and competitive UX audits.
12 skills · plugin
curated
Backend Framework Patterns
For developers building production-grade backends with NestJS, Spring Boot, or Ktor, covering architecture patterns and best practices.
7 skills · plugin
@samyakjhaveri
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
@micsapp
Arscontexta
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”
209 skills
akillness zoom-out
Get higher-level architectural perspective: maps modules, callers, dependencies using domain vocabulary
42
ziri22 agent-zero-trust
Expert en architecture zero trust (identity-based, micro-segmentation, ZTNA, BeyondCorp)
6
ziri22 agent-event-driven
Expert en architecture événementielle (Kafka, RabbitMQ, event sourcing, CQRS, saga patterns)
6
tinh2 save-tokens
Builds a local knowledge graph of a codebase using tree-sitter and graph algorithms, then answers architecture questions by querying the graph instead of reading many files, saving tokens.
13
google 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.
14.4k
curiositech agentspeak-bdi
Logic-based agent programming language implementing BDI architecture for practical autonomous agent development
10 · bundle
tianhao909 implementing-llms-litgpt
Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational understanding of architectures, or production fine-tuning with LoRA/QLoRA. Single-file implementations, no abstraction layers.
1 · bundle
qcmuu implementing-llms-litgpt
Implements and trains LLMs using Lightning AI's LitGPT with 20+ pretrained architectures (Llama, Gemma, Phi, Qwen, Mistral). Use when need clean model implementations, educational understanding of architectures, or production fine-tuning with LoRA/QLoRA. Single-file implementations, no abstraction layers.
0 · bundle
github diagnose
Performs a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.
36.2k
maros112358 scepticagent-architecture
ScepticAgent internal architecture reference. Use whenever the user asks how the extension works, wants to add a new AI provider, add a new highlight category, debug communication between components, understand the agent loop or streaming, or work with provider routing and the Gemini CORS proxy.
2
curiositech bdi-agency-model
BDI (Beliefs-Desires-Intentions) agency framework for designing autonomous agents with mental state architectures
10 · bundle
curiositech bdi-soft-systems
Integration of BDI agent architecture with soft systems methodology for complex organizational problem-solving
10 · bundle
mesteriis threat-model
Models threats for a service, feature, endpoint, integration, or architecture: assets, attackers, boundaries, flows, and abuse cases.
0 · bundle
danstrem2 agent-memory-mcp
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
2
projectious-work ai-fundamentals
Explain and apply core ML/AI concepts — model types, training pipelines, evaluation metrics, and neural architectures.
0 · bundle
kursku ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
55
sinhoneyy ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
11
jantoniofc ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
6
manu14357 ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
16
desesbraker ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
2
welitonevoc ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
1
diegojcn ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
1
inskillflow ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
1
iamanacarolinarezende ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
0
doriangallo ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
1
mmehdi0606 ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
2
francostino ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
63
bouclem ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
7
arjumaan ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
1
26bb ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
0
sickn33 ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
45.1k
tianhao909 moe-training
Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase. Covers MoE architectures, routing mechanisms, load balancing, expert parallelism, and inference optimization.
1 · bundle
qcmuu moe-training
Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase. Covers MoE architectures, routing mechanisms, load balancing, expert parallelism, and inference optimization.
0 · bundle
mit-network ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
2
ranbot-ai ai-ml
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
6
anantha-236 autonomous-loops
Patterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.
1