Process images for web development — resize, crop, trim whitespace, convert formats (PNG/WebP/JPG), optimise file size, generate thumbnails, create OG card images. Uses Pillow (Python) — no ImageMagick needed. Trigger with 'resize image', 'convert to webp', 'trim logo', 'optimise images', 'make thumbnail', 'create OG image', 'crop whitespace', 'process image', or 'image too large'.

Receive and verify Bunny Stream webhooks. Use when setting up Bunny Stream webhook handlers, debugging X-BunnyStream-Signature verification, or handling video encoding events like Status 3 (Finished / encoding done), Status 5 (Failed), or captions and title/description generation.

Receive and verify Bridge API webhooks (bridgeapi.io — the open-banking aggregator by Bridge/Bankin', NOT bridge.xyz). Use when setting up Bridge API webhook handlers, debugging BridgeApi-Signature HMAC-SHA256 verification, or handling events like item.created, item.refreshed, item.account.updated, payment.transaction.created, or user.deleted.

Receive and verify AWS SNS (Amazon Simple Notification Service) webhooks over HTTP/HTTPS. Use when setting up an SNS HTTP subscription endpoint, confirming a subscription (SubscriptionConfirmation / SubscribeURL), verifying SNS message signatures (SigningCertURL, SignatureVersion 1 SHA1 / 2 SHA256), or handling Notification and UnsubscribeConfirmation messages.

Receive and verify Attentive webhooks. Use when setting up Attentive webhook handlers, debugging signature verification (x-attentive-hmac-sha256), or handling SMS and email events like sms.subscribed, sms.unsubscribed, email.opened, or custom_attribute.set.

Use when adding, removing, or renaming a Vest validation `test(...)` in this repo's suite.js / *Suite.js files, or when touching a validation error key like "team-members" / "project-officer". Maps the full producer→consumer chain (test → getErrors() → convertCodeForDisplay("validation", key) → error-list render → button gating) so a suite edit updates every dependent label, renderer, and test. Trigger on any Vest suite change.

Use Glean MCP tools to answer questions about company documents, internal wikis, policies, RFCs, design docs, people, teams, meetings, decisions, action items, email, calendar events, internal code, and the user's own work activity. Reach for this whenever the answer lives in enterprise systems rather than the local codebase or public web. Trigger phrases include "find the doc about", "what's our policy on", "where is the spec for", "who works on", "who owns", "find someone who knows", "what was decided in the meeting", "action items from", "search my email", "what did I work on last week", and "find the implementation in our repos". Don't use it for questions answerable from the local working directory, the public web, or generic programming knowledge.

Review Sentry React and TypeScript changes for bug patterns drawn from real production issues. Use when reviewing a frontend diff or PR, checking Warden findings, auditing the current branch, reviewing production-error patterns, or looking for common regressions in `static/`.

Search conversation history and semantic memory to recall previous discussions, decisions, and context. Use when the user asks to "search memory", "what did we discuss", "remember when", "find previous conversation", "check history", or before starting work to recall prior decisions.

Send and receive cryptographically signed messages between AI agents using the Agent Messaging Protocol (AMP). Use when the user asks to "send a message to an agent", "check agent inbox", "message another agent", "reply to a message", "notify an agent", or any inter-agent communication task.

Write contextual commits that capture intent, decisions, and constraints alongside code changes. Use when committing code, finishing a task, or when the user asks to commit. Extends Conventional Commits with structured action lines in the commit body that preserve WHY code was written, not just WHAT changed.

Reference for the standard clauses found in commercial non-disclosure agreements (mutual and one-way) — what each clause does, the surface forms it appears in, and how to recognise it in unfamiliar drafting. Use when reviewing, comparing, or extracting provisions from any confidentiality / NDA / mutual NDA / standstill-and-confidentiality agreement.

Check and fix Apache 2.0 license headers and dependency licenses using skywalking-eyes. Use before submitting a PR.

Set up observability for Groq integrations: latency histograms, token throughput, rate limit gauges, cost tracking, and Prometheus alerts. Use when instrumenting Groq API calls, building a metrics dashboard, or wiring latency/cost/rate-limit alerts. Trigger with phrases like "groq monitoring", "groq metrics", "groq observability", "monitor groq", "groq alerts", "groq dashboard".

Execute Groq incident response: triage, mitigation, fallback, and postmortem. Use when responding to Groq-related outages, investigating errors, or running post-incident reviews for Groq integration failures. Trigger with phrases like "groq incident", "groq outage", "groq down", "groq on-call", "groq emergency", "groq broken".

Freeze outside-the-repo state into one snapshot. Use when the work depends on the current state of a service, database, queue, third party, or live logs.

Migrate Python Selenium/Selene electron tests to TypeScript/Playwright. Use when converting tests from rstudio-ide-automation/rstudio_server_pro/electron-tests/ to rstudio/e2e/rstudio/tests/.

Deploy, invoke, and retire Domino model APIs and registered models via REST. Covers modelServing lifecycle, registered-models v1 vs v2 paths, MLflow tracking vs registry API, inference URLs vs management API, and GenAI endpoint vanity URLs. Use when automating model deployment, predictions, registry updates, or debugging stop/archive/delete behavior.

Convert laboratory instrument output files (PDF, CSV, Excel, TXT) to Allotrope Simple Model (ASM) JSON format or flattened 2D CSV. Use this skill when scientists need to standardize instrument data for LIMS systems, data lakes, or downstream analysis. Supports auto-detection of instrument types. Outputs include full ASM JSON, flattened CSV for easy import, and exportable Python code for data engineers. Common triggers include converting instrument files, standardizing lab data, preparing data for upload to LIMS/ELN systems, or generating parser code for production pipelines.

Plan, deploy, operate, and troubleshoot Azure Local (formerly Azure Stack HCI): sizing and prerequisites, Arc registration, lifecycle updates, workloads (Azure Local VMs, AKS on Azure Local, images, disks, logical networks), SDN and network security, and failure triage — starting read-only and confirming before risky changes. WHEN: Azure Local, Azure Stack HCI, Arc resource bridge, custom location, Azure Local VM, Arc VM, AKS on Azure Local, AKS hybrid, SDN, Lifecycle Manager, Azure Local update, disconnected site.