automl-pipeline-builder

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

Automated code review for pull requests using multiple specialized agents with confidence-based scoring to filter false positives

1 command

Tenant-isolated AI teams that plan work, coordinate tasks, recall approved context, and return evidence-backed results

6 skills · 6 commands · 4 agents · 1 MCP server

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

Reliable automation, in-depth debugging, and performance analysis in Chrome using Chrome DevTools and Puppeteer

8 skills · 1 MCP server

Automates browser interactions for web testing, form filling, screenshots, and data extraction

12 skills

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