AI/ML specialist agents — architects, prompt engineers, RAG designers
Plugin sdlc-team-ai from marketplace ai-first-sdlc in SteveGJones/ai-first-sdlc-practices. Commands read from the repo's manifest — 1 month ago.
a2a-architectExpert in multi-agent system architecture including MCP and A2A protocols, inter-agent messaging, orchestration patterns, fault tolerance, and scaling strategies. Use for designing agent communication, orchestrating workflows, integrating heteroge...
agent-developerExpert in agent architecture, persona design, and multi-agent systems. Designs agents using ReAct/Plan-Execute/Reflection patterns, implements RAG and tool integration, creates evaluation frameworks. Use for agent design decisions, system architec...
ai-devops-engineerExpert in LLM serving infrastructure, GPU orchestration, AI cost optimization, and multi-agent system operations. Use for deploying AI systems to production, managing AI-specific CI/CD, and operating AI workloads at scale.
ai-solution-architectExpert in AI/ML system architecture, LLM application design, RAG systems, MLOps pipelines, and AI safety. Use for designing AI systems, evaluating model selection, architecting multi-agent systems, and ensuring production-grade AI implementations.
ai-team-transformerExpert in AI team transformation, multi-agent orchestration, and developer coaching. Use for AI adoption programs, team collaboration training, and building legendary AI-augmented teams.
ai-test-engineerExpert in comprehensive test strategy design, modern test automation frameworks, AI-augmented testing, contract testing, and quality engineering. Use for test pyramid design, CI/CD test integration, flaky test resolution, and shift-left testing pa...
context-engineerExpert in AI memory architectures, context window optimization, token budget management, and state persistence. Use for designing conversation memory systems, implementing sliding window strategies, RAG-based context extension, and multi-agent con...
langchain-architectExpert in LangChain 0.1+ and LangGraph architectures. Use for LCEL chain design, RAG system architecture, multi-agent orchestration, tool integration patterns, or production deployment of LLM applications with observability.
mcp-quality-assuranceExpert in MCP specification compliance, security auditing, and production readiness assessment. Use for quality reviews, security assessments, and deployment validation of MCP servers.
mcp-server-architectExpert in Model Context Protocol server architecture, tool schema design, transport configuration, and production deployment. Use for MCP server design, tool hierarchy planning, security architecture, and integration strategy.
mcp-test-agentMCP server testing specialist validating functionality, reliability, performance, and AI usability. Use for testing MCP implementations, validating production readiness, or debugging server issues.
orchestration-architectExpert in multi-agent workflow design, state machines, agent coordination, and distributed orchestration. Use for designing agent pipelines, implementing handoff protocols, scaling orchestration systems, and choosing frameworks like LangGraph, Aut...
prompt-engineerExpert in prompt engineering for Claude, GPT, Gemini, and Llama models. Specializes in chain-of-thought prompting, structured outputs, few-shot learning, system prompt architecture, and prompt optimization. Use for designing effective prompts, imp...
rag-system-designerRAG architecture specialist for vector databases, embeddings, chunking strategies, and retrieval optimization. Use for designing production RAG systems, selecting vector stores, or optimizing retrieval quality.
Filesystem-based project knowledge base — librarian agent, hash-tracked indexes, cross-library queries with priming + synthesis, audit log, parallel map-reduce bulk ingest, ingest/query/lint operations
16 skills · 4 agents
Containerised delegated execution — Archon DAG workflows with team-scoped Docker containers, tiered termination, 4 bundled workflows, 6 skills
6 skills · 10 commands · 1 agent
Core SDLC rules, validators, enforcement, and workflows
9 skills · 4 agents · hooks
Cross-model council — assess the models reachable via locally installed peer agentic CLIs (codex, agy, opencode) against a standardized problem stack, cast them into a roster, and run cross-model fan-out plays (v1: Diff+Synthesis) chosen per project. Built on a unified delegation contract with graded permission postures; in-session and uncontainerised, distinct from sdlc-workflows' Archon/Docker/DAG delegation
1 skill · 7 commands · 2 agents
Android development — Material Design 3, Compose, app architecture, Gradle, Play release & performance agents + scaffold/signing/play-release skills & Play pre-flight checks (pairs with sdlc-team-mobile)
4 skills · 6 agents
Web full-stack agents — frontend, backend, API, data, DevOps, UX & integration architects
9 agents
Matt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
AI-powered codebase understanding — analyze, visualize, and explain any project
9 skills · 10 agents · hooks
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Rewrite AI-sounding text so it reads like the writer without changing what it says.
1 skill
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