Golang benchmarking, profiling, and performance measurement. Use when writing, running, or comparing Go benchmarks, profiling hot paths with pprof, interpreting CPU/memory/trace profiles, analyzing results with benchstat, setting up CI benchmark regression detection, or investigating production performance with Prometheus runtime metrics. Also use when the developer needs deep analysis on a specific performance indicator - this skill provides the measurement methodology, while `samber/cc-skills-golang@golang-performance` provides the optimization patterns.

Drive a browser from the command line with the `playwright-cli` binary — open pages, snapshot the accessibility tree, click and type by ref, read network and console, manage sessions, cookies, storage state, tracing and video — and run or debug Node/TypeScript Playwright Test projects (`npx playwright test`, attach-to-paused-page, spec-driven plan/generate/heal). Use for interactive browser work at a prompt: exploring a page, validating a locator before committing it, inspecting element attributes, reproducing a UI bug, or debugging a `.spec.ts` run. NOT for authoring this repository's committed browser tests — this repo contains no `.spec.ts` Playwright specs at all; its browser journeys are pytest + pytest-playwright under tests/stand/ui/, run with uv, and belong to stand-ui-test. For getting an authenticated browser onto an Insight stand and capturing evidence, drive-ui owns the acquisition and this skill owns the commands.

Automate Figma tasks via Rube MCP (Composio): files, components, design tokens, comments, exports. Always search tools first for current schemas.

Audit a design against Dieter Rams' ten "Good design is..." principles, then hand off a /make-plan prompt for one of three outcomes — new design, refine design, or redesign. Use when the user says "audit this design", "design review", "check this UI against Rams", "is this UI good", "critique this design", "design audit", or asks for a critique that should lead to a plan.

Use when writing or reviewing Java code in this repo that calls Deepgram Speech-to-Text v1 (`/v1/listen`) for prerecorded or live transcription. Covers `client.listen().v1().media().transcribeUrl` / `transcribeFile` (REST) and `client.listen().v1().v1WebSocket()` (WebSocket). Use `deepgram-java-audio-intelligence` for analytics overlays, `deepgram-java-conversational-stt` for Flux `/v2/listen`, and `deepgram-java-voice-agent` for full-duplex assistants. Triggers include "transcribe", "speech to text", "STT", "listen v1", "nova-3", "live transcription", and "websocket transcription".

Use when writing or reviewing Python code in this repo that calls Deepgram audio analytics overlays on `/v1/listen` - summarize, topics, intents, sentiment, diarize, redact, detect_language, entity detection. Same endpoint as plain STT but with analytics params. Covers both REST (`client.listen.v1.media.transcribe_url`/`transcribe_file`) and the WSS-supported subset (`client.listen.v1.connect`). Use `deepgram-python-speech-to-text` for plain transcription, `deepgram-python-text-intelligence` for analytics on already-transcribed text. Triggers include "diarize", "summarize audio", "sentiment from audio", "redact PII", "topic detection audio", "audio intelligence", "detect language audio".

Use when writing or reviewing JavaScript/TypeScript in this repo that builds an interactive voice agent via `agent.deepgram.com/v1/agent/converse`. Covers `client.agent.v1.createConnection()` / `connect()`, `sendSettings`, `sendMedia`, runtime updates, event handling, and function-call responses. Use `deepgram-js-text-to-speech` for one-way synthesis, `deepgram-js-speech-to-text` or `deepgram-js-conversational-stt` for transcription only, and `deepgram-js-management-api` for project/model admin rather than live agent runtime. Triggers include "voice agent", "agent converse", "full duplex", "barge-in", "function calling", and "agent.v1".

Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Text-to-Speech v1 (`/v1/speak`) for audio synthesis. Covers one-shot REST via `client.speak.v1.audio.generate` and streaming WebSocket via `client.speak.v1.createConnection()` / `connect()`. Use `deepgram-js-voice-agent` when you need full-duplex STT + LLM + TTS instead of one-way synthesis. Triggers include "TTS", "text to speech", "speak", "aura", "streaming TTS", and "speak.v1".

Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram Speech-to-Text v1 (`/v1/listen`) for prerecorded or live audio transcription. Covers `client.listen.v1.media.transcribeUrl` / `transcribeFile` (REST) plus `client.listen.v1.createConnection()` / `connect()` (WebSocket). Use `deepgram-js-audio-intelligence` for summarize/sentiment/topics/diarize overlays, `deepgram-js-conversational-stt` for Flux turn-taking on `/v2/listen`, and `deepgram-js-voice-agent` for full-duplex assistants. Triggers include "transcribe", "speech to text", "STT", "listen.v1", "nova-3", "live transcription", and "websocket transcription".

Use when writing or reviewing JavaScript/TypeScript in this repo that calls Deepgram audio analytics overlays on `/v1/listen` - summarize, topics, intents, sentiment, diarize, redact, detect_language, and entity detection. Same endpoint as plain STT, different params. Covers REST via `client.listen.v1.media.transcribeUrl` / `transcribeFile` and the WebSocket-supported subset on `client.listen.v1.createConnection()` / `connect()`. Use `deepgram-js-speech-to-text` for plain transcription and `deepgram-js-text-intelligence` for analytics on already-transcribed text. Triggers include "audio intelligence", "summarize audio", "diarize", "sentiment from audio", "redact PII", and "detect language audio".

Inspect JoelClaw Mac fleet harness drift safely. Use for fleet status/diff, role-aware Pi and skill-policy checks, or planning a reviewed fleet change.

Add, debug, and manage webhook providers in the joelclaw webhook gateway. Use when: adding a new webhook integration (GitHub, Stripe, Vercel, etc.), debugging webhook signature failures, checking webhook delivery, testing webhook endpoints, registering webhooks with external services, or reviewing webhook provider implementations. Triggers on: 'add a webhook', 'new webhook provider', 'webhook not working', 'webhook signature failed', 'register webhook', 'webhook debug', 'verify webhook', 'add Vercel/GitHub/Stripe webhook', 'webhook 401', 'test webhook endpoint', or any external service webhook integration task.

Create and maintain Architecture Decision Records (ADRs) optimized for agentic coding workflows. Use when you need to propose, write, update, accept/reject, deprecate, or supersede an ADR; bootstrap an adr folder and index; consult existing ADRs before implementing changes; or enforce ADR conventions. This skill uses Socratic questioning to capture intent before drafting, and validates output against an agent-readiness checklist.

Initiates the purchase process by clicking the buy button once a product and its options have been selected and verified against requirements. Use when you are on a product detail page, all selection criteria (price, features, options) are satisfied, and the user is ready to proceed to checkout. Confirms the final price meets budget constraints before executing click[buy now].

Teleports the agent to a specified room within the ScienceWorld environment. Use when the agent needs to move between different locations to locate objects or access specific facilities. The input is a target room name, and the output is the agent arriving at that room, ready for further interaction.

This skill fills a container with liquid from a source by first placing the container at the source, then activating the source (e.g., turning on a sink), and finally deactivating it. It should be triggered when the agent has an empty or partially filled container and needs to add a liquid component. The skill results in the container containing the liquid, ready for mixing or further use.

Moves a substance or object from one container to another (e.g., moving lead to a metal pot). Use this skill when you need to prepare materials for processing, such as transferring a substance into a heat-resistant container before heating, or reorganizing materials between vessels for mixing or measurement.

Inspects the contents of a container or device using the 'look at' action. Use this skill when you need to verify what is inside a container (e.g., checking if lead is in the blast furnace), monitor the state of contents (e.g., solid vs. liquid phase changes), or confirm that a placement or process step succeeded. Returns a detailed list of contents and their states for process monitoring.

Searches for a suitable empty or appropriately occupied receptacle (like a shelf or table) to place an object. Use when you are holding an object that needs to be stored or placed and must find a receptacle that meets the placement criteria. Examines candidate receptacles by navigating to and inspecting each one until a suitable location is found.

Prepares a household appliance (microwave, oven, toaster, fridge) for use by ensuring it is in the correct open/closed state. Use when the agent needs to heat, cool, or cook an item and must first open or close the appliance before placing an object inside. Takes an appliance identifier as input and outputs a confirmation that the appliance is ready for the next action.