Catalog
Every x402, MPP, MCP, and skill listing we've indexed, normalized, and enriched.
brand-quill
Brand Quill — Rewrites everyday text into the aesthetic voice of iconic brands. 13 built-in styles: MUJI (restraint), Apple (minimal confidence), Aesop (literary sensory), Patagonia (honest activism), Diptyque (Parisian narrative), Snow Peak (nature craft), IKEA (everyday warmth)
coach
Use when Claude makes repeated mistakes, users correct behavior, tool failures indicate missing knowledge, or managing learning via /coach commands.
univer-cli
Use when solving spreadsheet workbook problems with the `univer` or `unv` CLI as a terminal-native spreadsheet engine: Excel-compatible `.xlsx` handoff, `.univer` or `.unv` packages, workbook inspection, range search, formulas, formatting, charts, rich spreadsheet edits, live pre
sit
Use when a persisted `.univer` or `.unv` workbook needs `.sit` repo workflow: status, commit, history inspection, approval-backed sync, or origin pull recovery after workbook edits are saved.
sheet-git
Use when a persisted `agent-sheet` workspace needs versioning, review-session workflow, or hosted/origin sync through `sheet-git`, rather than direct workbook editing.
agent-sheet
Deprecated legacy alias for `univer-cli`; use only for older prompts or installs that still call `agent-sheet`. Prefer `univer-cli` for current shell-native workbook work.
halo-cli
Use when the task involves Halo CLI, Halo CMS terminal operations, or any command-line interaction with Halo. This includes login, profiles, posts, single pages, search, plugins, themes, attachments, backups, moments, comments, notifications, or shell completion. Trigger this ski
halo-cli-shared
Use when a task involves Halo CLI, Halo CMS command-line operations, or terminal-based Halo management. Also use when you need shared rules for profiles, JSON output, help discovery, config paths, and destructive actions. Trigger this skill whenever the user mentions 'halo', 'Hal
halo-cli-search
Use when searching public content on a Halo site with Halo CLI. This includes keyword search, site URL based search, result limits, or any search that does not require authenticated console access. Trigger this skill whenever the user wants to search a Halo site from the terminal
halo-cli-operations
Use when operating Halo themes, plugins, attachments, backups, or moments from the terminal. This includes install, upgrade, activate, enable, disable, upload, download, create, delete, reload, and batch maintenance flows. Trigger this skill whenever the user mentions Halo themes
halo-cli-moderation-notifications
Use when moderating Halo comments or replies, creating official replies, managing notifications, listing unread notifications, deleting notifications, or marking notifications as read. Trigger this skill whenever the user mentions Halo comments, comment replies, or notifications
halo-cli-content
Use when managing Halo posts, single pages, categories, or tags from the terminal. This includes listing, creating, updating, deleting, exporting, importing, or any content management operation for Halo CMS. Trigger this skill whenever the user mentions Halo posts, pages, categor
halo-cli-auth
Use when working with Halo CLI authentication, login, bearer token or basic auth, profile setup, profile switching, current profile inspection, or fixing missing keyring credentials. Trigger this skill whenever the user needs to log into Halo, manage Halo CLI profiles, switch pro
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-prompt-optimization
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 using the ax CLI. Use when the user mentions optimize prompt, improve prompt, m
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
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
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-evaluator
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 continuous monitoring. Use when the user mentions create evaluator, LLM judge, hallu
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,
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