ml-model-trainer

Multi-agent orchestration system with 51 specialized agents for development workflows, code quality, deployment, research, and more. Built with MCP tools and Claude Code plugin agents.

51 agents

Multi-agent orchestration system with 51 specialized agents for development workflows, code quality, deployment, research, games, and more. Includes orchestrators for checkpoint, deploy, quality, fullstack, research, games, corpus, web, and python workflows.

51 agents

Engineering + Product team — 23 agents as Claude Code specialists. Infrastructure, DevOps, backend, security, ML/AI, mobile, UX, analytics, growth, strategy, and more.

23 skills · 23 agents · hooks

Claude Code skill pack for Shopify (30 skills)

38 skills

LangChain 1.0 + LangGraph 1.0 skill pack for Python. Pain-first skills anchored to a 68-entry pain catalog covering content blocks, streaming token accounting, structured-output, vector stores, checkpointing, HITL, middleware, Deep Agents, and native OTEL. Expanding toward 34 skills across four epics.

33 skills

Claude Code skill pack for building with the Claude API and Anthropic SDK (30 skills)

32 skills

Matt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).

39 skills

Token usage tracking, model cost attribution per agent, budget alerts, and optimization recommendations

24 skills · 1 command · 1 agent · hooks

5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.

5 skills · 16 commands · 4 agents · hooks

Install the "Architecture & Domain Modeling" editorial skill bundle for Claude Code.

13 skills

Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).

1 skill · hooks

Eval-gated LLM fine-tuning lifecycle (LoRA/QLoRA, DPO, GRPO/RLVR, vision SFT, quantized export). Use when fine-tuning an open-weights model end-to-end: building the eval harness first, selecting method and model, preparing data, training with Unsloth or TRL, gating checkpoints, and exporting GGUF/FP8.

10 skills · 2 commands · 3 agents