Use when the user wants to manage Valet agents, channels, connectors, organizations, or environment variables (secrets and plain config) via the valet CLI. Handles creation, deployment, linking, teardown, and all multi-step workflows. Also use when asked to "create an agent", "deploy an agent", "design an agent", "build me an agent that...", "create a connector", "set up a webhook", or anything involving the Valet platform or any request to create and deploy AI agents. Also use when asked to "learn from this session", "capture this workflow", "save this as an agent", "make this repeatable", or when writing SOUL.md files.

Use when working with VueUse composables - track mouse position with useMouse, manage localStorage with useStorage, detect network status with useNetwork, debounce values with refDebounced, and access browser APIs reactively. Check VueUse before writing custom composables - most patterns already implemented.

Matter scoping across the full pre-execution arc — organise client data into a structured brief, capture the agreed baseline, or reconstruct scope mid-flight. Use when making sense of client information before a proposal, scoping a new matter, running a kickoff, defining scope, mapping stakeholders, or inheriting a matter mid-flight. Trigger on: 'make sense of this', 'structure this for the proposal', 'scope this matter', 'new matter', 'kickoff', 'what are we doing', 'who are the stakeholders', 'what does success look like', 'matter setup', 'intake', 'I've inherited this matter', 'organise this client data'.

Agent skill for agentic-payments - invoke with $agent-agentic-payments

Creates and updates GitHub pull requests for cloudflare-docs changes. Load when asked to open, create, submit, update, edit, or write a title or description for a PR. Covers title conventions, PR body structure, and the documentation checklist template.

Retrieve Coinbase Design System (CDS) documentation: setup, installation, theming, tokens, and per-component APIs/examples. Use this skill whenever the task involves CDS components, design-system rules, theming, or choosing between web and mobile CDS packages, even if the user only says "use CDS" or names a component. Always start from the docs route index, then fetch only the pages you need to reason and implement correctly. Prefer the CDS MCP server (`list-cds-routes`, `get-cds-doc`); if MCP is unavailable, use curl against https://cds.coinbase.com/llms/....

Explain the Ralph Loop plugin, how it works, and available skills. Use when the user asks for help with ralph loop, wants to understand the technique, or needs usage examples.

Enable Supervisor API background mode for long-running agent tasks. Use when: (1) Agent needs to run tasks longer than HTTP timeout limits, (2) User says 'background mode', 'long-running', 'supervisor api', (3) Converting from streaming to background polling pattern, (4) Agent needs resilience to connection drops during execution.

Add memory capabilities to your agent. Use when: (1) User asks about 'memory', 'state', 'remember', 'conversation history', (2) Want to persist conversations or user preferences, (3) Adding checkpointing or long-term storage.

Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators.

Deploy TypeScript LangChain agent to Databricks. Use when: (1) User wants to deploy, (2) User says 'deploy', 'push to databricks', 'production', (3) After making changes that need deployment.

Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators.

Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators.

Add memory capabilities to your agent. Use when: (1) User asks about 'memory', 'state', 'remember', 'conversation history', (2) Want to persist conversations or user preferences, (3) Adding checkpointing or long-term storage.

Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators.

Enable Supervisor API background mode for long-running agent tasks. Use when: (1) Agent needs to run tasks longer than HTTP timeout limits, (2) User says 'background mode', 'long-running', 'supervisor api', (3) Converting from streaming to background polling pattern, (4) Agent needs resilience to connection drops during execution.

Build, run, and visually iterate on terminal UIs without human screenshots. Captures TUI output as PNG images using a headless terminal renderer. Use when building TUIs, CLI tools with visual output, or any terminal program where you need to see what it looks like. Triggers on "build a TUI", "make a terminal UI", "how does it look", "screenshot the terminal", "visual feedback loop".

Create, modify, validate, publish, and visually review Grafana dashboards. Use when building dashboards, editing panels/variables/links, finding dashboard examples, using gcx, or taking Playwright screenshots of Grafana dashboards.

Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators.

Migrate an MLflow ResponsesAgent from Databricks Model Serving to Databricks Apps. Use when: (1) User wants to migrate from Model Serving to Apps, (2) User has a ResponsesAgent with predict()/predict_stream() methods, (3) User wants to convert to @invoke/@stream decorators.