Verify development environment is ready

Guides creation, validation, and application of Supabase database migrations with RLS policy checks and type generation. Use when adding tables, modifying schema, or updating database structure.

Guide for creating Claude Code plugins that bundle skills, agents, commands, hooks, and MCP servers for distribution. Covers plugin structure, marketplace.json format, installation, testing, and...

Perform native code review (< 30 seconds) using Claude Code's built-in capabilities without external dependencies. Use for rapid validation checks during development. Triggered by 'quick review',...

Interactive spec-driven development workflow with phase-by-phase confirmation. Each phase waits for user confirmation before proceeding. Trigger phrases include "spec-flow", "spec mode", "need a...

Validate MCP configuration and suggest improvements

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Generate hook script from template

List all available agents (core + expert)

Use when designing prompts for LLMs, optimizing model performance, building evaluation frameworks, or implementing advanced prompting techniques like chain-of-thought, few-shot learning, or...

Half-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets, for fast quantization workflows, or when...

Deploy Claude Code on Cloudflare Sandboxes. Run autonomous AI coding tasks in isolated containers via a simple API.

Marketing and promotion specialist for Claude ecosystem technology - MCP servers, skills, plugins, and agents. Expert in community engagement, registry submissions, content marketing, and...

Quantizes LLMs to 8-bit or 4-bit for 50-75% memory reduction with minimal accuracy loss. Use when GPU memory is limited, need to fit larger models, or want faster inference. Supports INT8, NF4,...

Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision...

Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on limited GPU memory, when you need faster...

Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization...

Install skills from github.com/oaustegard/claude-skills into /mnt/skills/user. Use when user mentions "install skills", "load skills", "add skills", "update skills", "refresh skills", or...

Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to...

Copy Claude Code project context from one directory to another