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Found 20 Skills
Answer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests.
Install, audit, repair, and manage a loopback-only CLIProxyAPI bridge that registers subscription-backed Codex, Grok, Antigravity/Gemini, or newly added CLI models in WorkBuddy. Use whenever the user asks to connect a local CLI or agent model to WorkBuddy, install CLIProxyAPI, add or repair a WorkBuddy custom model, preserve image/tool/reasoning/Fast capabilities, onboard another CLI provider, or diagnose a WorkBuddy model that stopped working. This Skill is macOS-first and should be used even when the user names only the model or says their local WorkBuddy API has expired.
UiPath IXP (Document Understanding) via `uip ixp` — create projects (with autopilot taxonomy suggestion, an imported taxonomy file, or empty), upload/download/delete documents, author the taxonomy (field groups, fields, data types, per-field and overall extraction instructions), configure the extraction model and pre-processing, review/confirm/unconfirm predictions, mark fields missing, pull metrics and model versions, publish/tag/roll back model versions, deploy a trained version to an Orchestrator folder and move an existing deployment to another version (`deployments create`/`upgrade`/`list`). DO NOT TRIGGER during .flow / Maestro Flow work — discovering or listing IxP / document-extraction models, extractors, or nodes available to Maestro Flow, and adding or wiring an IxP node, belong to uipath-maestro-flow even when they sound like IXP model management.
Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run compute jobs on HF infrastructure. Covers authentication, file transfers, repository creation, cache operations, and cloud compute.
Command-line interface for Ollama - Local LLM inference and model management via Ollama REST API. Designed for AI agents and power users who need to manage models, generate text, chat, and create embeddings without a GUI.
fal.ai Platform APIs for model management, pricing, usage tracking, and cost estimation. Use when user asks "show pricing", "check usage", "estimate cost", "setup fal", "add API key", or platform management tasks.
Execute Hugging Face Hub operations using the `hf` CLI. Use when the user needs to download models/datasets/spaces, upload files to Hub repositories, create repos, manage local cache, or run comput...
Command-line interface for ComfyUI - AI image generation workflow management via ComfyUI REST API. Designed for AI agents and power users who need to queue workflows, manage models, download generated images, and monitor the generation queue without a GUI.
Platform APIs for model management, pricing, and usage tracking
Ollama API Documentation
Route requests between different LLM providers and models. Configure routing rules, fallback providers, and model-specific parameters inspired by ZeroClaw and OpenClaw model routing systems.
Atlas Cloud API integration skill — quickly call 300+ AI image generation, video generation, and LLM models through a unified API. Use this skill when the user needs to integrate AI image generation (e.g., Flux, Seedream, DALL-E), AI video generation (e.g., Kling, Sora, Seedance), or call LLM APIs (OpenAI-compatible format) into their project. Applicable scenarios include: generating images, generating videos, calling large language models, using Atlas Cloud API, configuring ATLASCLOUD_API_KEY, querying available model lists, searching models by keyword, uploading local images/media files, one-step quick generation, image-to-video, text-to-image, text-to-video, AI content creation tool integration. Even if the user doesn't explicitly mention Atlas Cloud, this skill should be considered whenever AI media generation API integration development is involved.