Control Cli

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). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.

Stream router for Chat, Video, Feeds, and Moderation. Use when the user wants to build a new app with Stream, scaffold a project, add Chat/Video/Feeds/Moderation to an existing app, integrate Stream, audit or migrate an integration, build for Swift/SwiftUI/UIKit/iOS/Xcode/Android/Kotlin/React Native/Expo/Flutter, query Stream data, list channels, list calls, show flagged messages, find users, run getstream CLI commands, install the Stream CLI, set up Stream, configure moderation, search Stream SDK documentation, or look up Stream React/iOS/Android/Node/Flutter/Unity SDK methods. Routes to the right sub-skill based on the task.

Read Discord for financial research using opencli (read-only). Use this skill whenever the user wants to read Discord channels, search for messages in trading servers, view guild/channel info, monitor crypto or market discussion groups, or gather financial sentiment from Discord. Triggers include: "check my Discord", "search Discord for", "read Discord messages", "what's happening in the trading Discord", "show Discord channels", "list my servers", "Discord sentiment on BTC", "what are people saying in Discord about AAPL", "monitor crypto Discord", any mention of Discord in context of reading financial news, market research, or trading community discussions. This skill is READ-ONLY — it does NOT support sending messages, reacting, or any write operations.

Create, triage, advance, and close HubSpot support tickets — pipeline discovery, contact/company association, priority queues, bulk stage moves, resolution close-out.

Platform abstraction decision-making for Amethyst KMP project. Guides when to abstract vs keep platform-specific, source set placement (commonMain, jvmAndroid, platform-specific), expect/actual patterns. Covers primary targets (Android, JVM/Desktop, iOS — all mature) with web/wasm as possible future targets. Integrates with gradle-expert for dependency issues. Triggers on: abstraction decisions ("should I share this?"), source set placement questions, expect/actual creation, build.gradle.kts work, incorrect placement detection, KMP dependency suggestions.

Creates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates. Use when asked to improve a prompt, optimize a system prompt, rewrite an agent prompt, tune prompt wording, make a prompt more reliable, port prompts between OpenAI, Claude, or Gemini, or build prompt evals.