MCP servers and skills: search, filter by where they run, and compare.
Nothing matches every word exactly, so these are the closest matches.
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
this is a Mcp server for us weather, I create it for test purposes
PythonMITFew starsNo 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
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
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
Analyze disk space and find cleanable files using AI
SkillMIT★ 9No key
J-Space Cognition Suite — a model-agnostic inference-time control suite for deep reasoning, long-horizon work, verification, and recovery. Based on Anthropic's J-space global workspace research.
SkillApache-2.0★ 3.0kNo key
One consistent interface for 100+ APIs, plugins, CLI, and MCP tools for AI agents.
Node.jsMIT★ 4Few starsNo key
Lint your MCP server before a model chokes on it. Checks MCP tool definitions — names that break function-calling, weak descriptions, invalid input schemas, and the context budget your toolset eats ev
Node.jsMIT★ 1Few starsNo 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
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
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
Claude Code skill for AI filmmaking — shot lists, keyframe & video prompts, with 10 director-style overlays (Spielberg, Kubrick, Wong Kar-wai, Nolan...).
SkillMIT★ 234No key
Agent skill that makes mobile UI look like a shipped app: rules with real numbers, screen recipes and a fast screenshot review, from 2,600 screens of 44 iOS apps. Claude Code, Codex, Cursor, Gemini CL
SkillMIT★ 8No 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
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
Generate stunning procedural night skies, starfields, nebulae, and celestial phenomena in Three.js using WebGPU compute with WebGL2 fallback.
SkillMIT★ 8No key
Space Context for developers and agents: TypeScript SDK, CLI and remote MCP server
Hosted by authorMITFew starsNo key
A local, read-only MCP weather query learning project using Python SDK v2 and stdio.
PythonMITFew starsNo 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
Agent Skills 把 X Space 变成中文干货笔记：下载 → 带说话人转写 → LLM 蒸馏 → 分享图 / Turn X Spaces into distilled Chinese notes with speaker labels & share cards.
SkillMIT★ 8No key
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