From nothing to a working AI setup you own. Scans the machine for models that fit, installs and wires up the right app with consent at every download, shares it over a private URL, and rents a cloud GPU when a model is too big. Needs shell access.
Plugin local-ai from marketplace benai-skills in naveedharri/benai-skills. Commands read from the repo's manifest — 1 month ago.
allow-teamPuts a running Open WebUI or Odysseus on a shareable public URL through an ngrok tunnel, so a teammate can sign in and use the local models without installing anything. Use when the user says "share Open WebUI with my team", "share Odysseus with my team", "let my colleague use my local AI", "expose
install-openwebuiInstalls and wires up Open WebUI end to end, so a non-technical user gets a working local AI chat in the browser instead of setup instructions. Use when the user says "install Open WebUI", "set up Open WebUI", "get Open WebUI running", "connect Open WebUI to Ollama", "Open WebUI shows no models", "l
local-ai-setupThe one command that takes someone from nothing to a working local AI setup: scans their machine, asks what they want it for, recommends a model and an app, asks Open WebUI or Odysseus when the pick is browser-based, then installs it with their approval. Use when the user says \"set up local AI\", \
pick-my-harnessAsks a few plain questions about the work, then names the one desktop app to run local AI models in, from LM Studio, Goose, Open WebUI, AnythingLLM, OpenWork or Odysseus. Use when the user asks "which app should I use for local AI", "LM Studio or Ollama", "what is the best local AI interface", "do I
rented-server-setupRuns an open model in the cloud two ways, and makes the user choose with real numbers. Route A is OVHcloud AI Endpoints, an EU-owned per-token API with zero idle cost, for spiky usage and EU jurisdiction. Route B rents one single-tenant RunPod GPU pod in a region the user picks, serving the model on
scan-my-machineScans the user's actual hardware and tells them exactly which local AI models they can run, by name, with expected speed. Use when the user asks "what models can my computer run", "can I run a local LLM", "how much VRAM do I have", "which model should I download", "is my Mac good enough for local AI
Every BenAI skill in one install. All 130 skills across marketing, sales, SEO, ads, design, YouTube, creative, operations, second-brain OS, Baalda OS, Marketing OS, and general productivity. Add this one plugin to get the complete library.
130 skills · 15 agents · 4 MCP servers
Paid ads toolkit (14 skills + 6 audit subagents). Covers Google, Meta, LinkedIn, TikTok, YouTube, and Microsoft Ads. Includes audits, budget allocation (70/20/10), creative + brand context, landing pages, strategic planning, and competitive intel.
14 skills · 6 agents · 2 MCP servers
The BenAI sales OS as skills: lead generation, qualification and research, CRM mining, LinkedIn engagers, email personalization, call prep, one-pagers, pipeline reviews, post-disco proposals, rep grading, win/loss analysis, and sales assets.
14 skills · 4 agents
General-purpose AI productivity toolkit: browser automation, audio transcription, deep research, decision frameworks, fact-checking, file organization, prompt engineering, MCP server building, and more. 17 community skills in one install.
17 skills
Rank higher and grow organic traffic with programmatic SEO, technical audits, and Search Console optimization. Create email sequences that convert, build compelling case studies, and generate professional infographics. Repurpose YouTube content into LinkedIn posts, newsletters, GIFs, and visual diagrams.
13 skills · 3 MCP servers
The Ben AI YouTube pipeline after the edit: Studio wizard to Unlisted, UTM links, Bitly import, chapters and tags, description, then repurposing into LinkedIn, newsletter, Circle post or course, and clips.
14 skills · 2 agents
Precise local semantic code search via MCP. Indexes your codebase with Go AST parsing, embeds with Ollama or LM Studio, and exposes vector search to Claude through an MCP server — no cloud, no npm.
Run AI models locally with Ollama - free alternative to OpenAI, Anthropic, and other paid LLM APIs. Zero-cost, privacy-first AI infrastructure.
1 skill · 1 command
Shows a plain-English rewrite of each Claude Code assistant message, produced by a local LLM (ollama, default), the Anthropic API, or any OpenAI-compatible API. Display-only.
1 skill · 1 command · hooks
Local-first LLM branching & debugging. Treat AI context windows like a Git repo — capture, branch, and regression-test LLM calls as a DAG. Free & local via Ollama, any OpenAI-compatible API, and MCP for agents.
1 skill · 1 command · 1 agent · 1 MCP server
AMD's verified Agent Skills in one plugin: route image/audio through local AI on Ryzen AI, serve LLMs on AMD Instinct GPUs with vLLM, optimize inference throughput with Hyperloom, and analyze GPU kernel and PyTorch trace performance.
1 skill
Local image, video, music-video and Film Crew generation, voice and music, upscaling, LoRA training, Hugging Face model onboarding, agent swarms, local knowledge, code intelligence and supervised outreach, driven from Claude Code through the guaardvark MCP server.
15 skills · 1 MCP server
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