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Use Copilot Spaces to provide project-specific context to conversations. Use this skill when users mention a "Copilot space", want to load context from a shared knowledge base, discover available spac
OfficialSkillMIT★ 40k in collectionNo key
Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community grant
OfficialSkillApache-2.0★ 11k in collectionNo key
Creates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI. Use when the user needs test data,
OfficialSkillMIT★ 40k in collectionNo key
AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, configuring `python_version` or `requirements.txt` for a ZeroGP
OfficialSkillApache-2.0★ 11k in collectionNo key
Creates and manages annotation configs (categorical, continuous, freeform label schemas) and annotation queues (human review workflows) on Arize. Applies human annotations to project spans via the Pyt
OfficialSkillMIT★ 40k in collectionNo key
Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish a Space, demo, Gradio app, or playground for a LoRA — inclu
OfficialSkillApache-2.0★ 11k in collectionNo key
Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI. Use
OfficialSkillMIT★ 40k in collectionNo key
Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. Supports any LLM provider (e.g. OpenAI, Anthropic, Azure Ope
OfficialSkillMIT★ 40k in collectionNo key
Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and cont
OfficialSkillMIT★ 40k in collectionNo key
Use Hugging Face Hub via MCP server tools. Search models, datasets, Spaces, papers. Get repo details, fetch documentation, run compute jobs, and use Gradio Spaces as AI tools. Available when connected
OfficialSkillApache-2.0★ 11k in collectionNo key
Downloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-ca
OfficialSkillMIT★ 40k in collectionNo key
On-disk layout for packages that expose a contract space (extensions, internal monorepo packages, aggregate-root apps)
OfficialRuleApache-2.0★ 415 in collectionNo key
Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop
OfficialSkillMIT★ 40k in collectionNo key
Inspects Filestore capacity and utilization on Google Cloud, evaluates storage scaling rules, and performs capacity autoscaling (scale UP for low free space or scale DOWN for cost optimization). Use w
OfficialSkillApache-2.0★ 21k in collectionNo key
Use when adding, modifying, optimizing, or debugging CuTile autotuning code. Trigger signals: `exhaustive_search` / `replace_hints` / `hints_fn` / `cuda.tile.tune` in code, `autotune` in filenames, or
OfficialSkillCC-BY-4.0 AND Apache-2.0★ 3.6k in collectionNo key
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). S
OfficialSkillApache-2.0★ 11k in collectionNo key
Experimental (preview) Pester skill for migrating classic Should -Be (v5) assertion syntax to the new Should-* (v6) assertions (note the hyphen, no space), e.g. `Should -Be` -> `Should-Be`, `Should -N
OfficialSkillMIT★ 40k in collectionNo key
Generates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs. Produces clickable URLs for sharing Arize resources with team members.
OfficialSkillMIT★ 40k in collectionNo key
Adds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the use
OfficialSkillMIT★ 40k in collectionNo key
Guides use of the Hugging Face hf CLI to download and manage models, datasets, Spaces, buckets and repos.
OfficialSkillApache-2.0★ 11kNeeds Hugging Face Hub
Used for command-shape or live NV-Reason-CXR chest X-ray reasoning smoke tests. Not for diagnosis or clinical reporting.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. Use when the user sh
OfficialSkillApache-2.0★ 11k in collectionNo key
Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.
OfficialSkillMIT★ 40k in collectionNo key
Two-step image grounding pipeline: extracts referring expressions from (image, caption) pairs and grounds them to pixel-space bounding boxes via a VLM. Use when the user wants to ground captions to bb
OfficialSkillApache-2.0★ 3.6k in collectionNo key
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