Catalog
Every x402, MPP, MCP, and skill listing we've indexed, normalized, and enriched.
arize-link
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. Use when the user wants to link to or open a trace, span, session, dataset, eval
Cloudflare Worker Builder
Claude Skills skill by Jezweb
Before And After
Before And After skill by Vercel Labs
Dotnet Framework 4.8 Expert
Claude Supercode Skills skill by 404kidwiz
Templates
Railway Skills skill by Railwayapp
Tam Sam Som Calculator
Product Manager Skills skill by Deanpeters
Epic Breakdown Advisor
Product Manager Skills skill by Deanpeters
Weekly Prep Brief
Knowledge Work Plugins skill by Anthropics
Second Brain
Second Brain skill by Nicholasspisak
Kimodo Motion Diffusion
Trending Skills skill by Aradotso
arize-dataset
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, evaluation examples, or mentions create dataset, list datasets, export dataset,
Fal Image Edit
Skills skill by Fal Ai Community
arize-experiment
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 when the user mentions create experiment, run experiment, compare models, model
arize-trace
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-cause investigation using the ax CLI. Use when the user wants to look at existing
arize-annotation
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 Python SDK. Use when the user mentions annotation config, annotation queue, label s
arize-ai-provider-integration
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 OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM). Use when the user mentions AI
arize-instrumentation
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 user wants to instrument their app, add tracing from scratch, set up LLM observabil