Operate an RTX 3090 Thunderbolt eGPU and the local models served on it: status, safe drain and power-off, power-up, and model load checks.
Plugin gpu-ops from marketplace mairp in mairp/claude-plugins. Commands read from the repo's manifest — 8 days ago.
gpu-opsOperate and inspect the RTX 3090 eGPU (Thunderbolt-4 enclosure) on the mairp host via the proven scripts in /root/gpu_rtx_3090. Use when asked to "check GPU / eGPU status", "how's the GPU", "free VRAM", "drain the GPU", "safe shutdown / power the GPU down", "detach the eGPU", "power the GPU back up"
local-model-opsHardware-aware guidance for running local Qwen 3.8, Muse, and Nemotron models on the RTX 3090 eGPU (llama-swap on this host) - which model to pick, when to think, when to escalate to gpt-5/claude, and what the serving limits are. Use when asked "which local model should I use", "run this on qwen", "
Fast, free, first-pass security smell test. Point a tiny local LLM (antares-1b, a ~2GB Granite-4.0 fine-tune) at a folder to get cheap vulnerability leads across a codebase in seconds — before a deeper audit. A triage aid, NOT a substitute for Semgrep, CodeQL, or Bandit.
2 skills
Derive a provenance-bound launch contract and an unattended Specstride pipeline from GitHub Spec Kit artifacts. Sources are pinned by SHA-256; editing a spec after derivation blocks the launch until the contract is regenerated.
2 skills
Development governance for coding agents: takes a Spec Kit feature to done, phase by phase, with the tests run by the engine and an independent reviewer that must approve each phase before it is signed and committed.
2 skills
Recall from and write to a shared qmd memory gateway, so every agent in a fleet reads and adds to the same local RAG memory.
1 skill
Run a Spec Kit command (analyze, clarify, plan, ...) over a range of specs on a chosen harness, with the model and reasoning effort pinned per run, sequentially or several features in parallel.
1 skill
Turn videos into Marp slide decks (PPTX, PDF, HTML) with local Whisper, OCR and a fresh agent per video.
1 skill
Install the "AAS DevOps & Cloud" editorial skill bundle for Claude Code.
18 skills
Transform Claude into an Azure expert. This plugin integrates the Azure MCP server and specialized Azure skills to move beyond generic advice. It enables Claude to perform real-world tasks: listing resources, validating deployments, diagnosing infrastructure issues, and optimizing costs across 50+ Azure services.
44 skills · 1 MCP server
Work with incident.io from Claude: respond to and investigate incidents, check on-call schedules and escalations, and author the runbooks, skills and architecture docs that incident.io investigations draw on. Bundles the official incident.io MCP server (OAuth on first use).
11 skills · 1 MCP server
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, incident-response, red-team, threat-detection. v2.8.1 audits senior-fullstack / senior-frontend / senior-backend against karpathy-coder + Matt Pocock — each ships a 7-question forcing-question library, 4 customization profiles (JSON), deterministic decision engine, composition map into POWERFUL specialists, plus cs-fullstack-engineer / cs-frontend-engineer / cs-backend-engineer orchestrator agents (context: fork) + /cs-fullstack-review, /cs-frontend-review, /cs-backend-review, /cs-engineer-grill slash commands.
35 skills · hooks
DevOps, cloud, and deployment specialists - Kubernetes, Terraform, AWS, Azure, GCP, and SRE
Production LLM inference including vLLM, TensorRT-LLM, llama.cpp, and SGLang. Use when deploying models for production inference.
98 skills
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