Investigate one dotnet/machinelearning repository-health finding locally, gather evidence for an issue, pull request, or pipeline problem, determine root cause confidence, and draft a dashboard report. Use when following up a repo-health finding or investigating a specific ML.NET maintenance risk.

Groom the dotnet/machinelearning repo-health dashboard locally by linking investigation results, marking resolved findings, archiving stale entries, and drafting conservative comment minimization. Use when asked to clean, update, or maintain the ML.NET health dashboard.

Triage and classify new issues for the CSC database repository. Use this skill whenever an issue is opened, assigned to you, or needs classification. Trigger on: new issue triage, "classify this issue", "what type of issue is this", labelling requests, issue assignment, data correction reports, data addition requests, bug reports, feature requests, or any time you need to categorise, label, prioritise, or respond to a GitHub issue. Also use when deciding whether an issue can be auto-fixed or needs human intervention.

Creates product search agents with semantic search and RAG on Google Cloud (Vertex AI Vector Search, BigQuery, embeddings). Use when the user wants to "build a product search agent", "create an e-commerce search", "make a shopping assistant", "set up semantic catalog discovery", "ingest products into Vector Search", or "deploy a retail RAG agent". Handles the full pipeline: catalog data ingestion to BigQuery, Vertex AI Vector Search collection setup, ADK agent scaffolding, evaluation, and Cloud Run deployment.

Share structured, evolving state between an AG-UI agent and its client with the AG-UI .NET SDK — the client seeds state on the request, the server reads it, mutates it, and streams the updated state back as snapshots or deltas alongside the chat. USE FOR: sending initial/working state from the client via ChatOptions.RawRepresentationFactory -> RunAgentInput.State; reading inbound state on the server with ChatOptions.TryGetRunAgentInput and RunAgentInput.State; emitting a full state object as a StateSnapshotEvent (or incremental JSON-Patch changes as a StateDeltaEvent) from a DelegatingChatClient via ChatResponseUpdate.RawRepresentation; reading state back on the client from update.RawRepresentation as StateSnapshotEvent. DO NOT USE FOR: passing one-off tool arguments (use agui-dotnet-server-tools); rendering UI components from tool calls (use agui-dotnet-generative-ui); plain chat (use agui-dotnet-streaming-chat); approvals/interrupts, multimodal, or protobuf.

Expose server-side (backend) tools an AG-UI agent can call with the AG-UI .NET SDK — C# functions that run on the server, where the server executes the call and feeds the result back to the model. USE FOR: defining an AIFunction with AIFunctionFactory.Create and registering it on the server's IChatClient via ConfigureOptions + UseFunctionInvocation; making the model call your backend function during a run; AOT-safe tool arguments/results (registering a JsonSerializerContext for complex tool parameter types); parallel/concurrent backend tool calls (AllowConcurrentInvocation); TerminateOnUnknownCalls behavior. DO NOT USE FOR: tools that run in the client/frontend (use agui-dotnet-client-tools); pausing a tool for human approval or input (interrupts / human-in-the-loop); plain streaming chat with no tools (use agui-dotnet-streaming-chat); shared state, generative UI, multimodal, or protobuf.

Send images and other binary/file content to an AG-UI agent with the AG-UI .NET SDK — attach pictures (or audio, PDFs, etc.) to a user message so a multimodal model can see them. USE FOR: building a user ChatMessage with mixed content parts (TextContent plus DataContent for inline bytes, or UriContent for a hosted URL); choosing inline bytes vs a URL reference; setting the correct media type; sending the message through AGUIChatClient so the content parts cross the AG-UI wire to a vision/multimodal model. DO NOT USE FOR: plain text chat (use agui-dotnet-streaming-chat); tool calls (use agui-dotnet-server-tools / agui-dotnet-client-tools); structured shared state (use agui-dotnet-shared-state); reasoning traces, interrupts, generative UI, or protobuf.

Add or modify a wire transport / event-stream encoding in the AG-UI .NET SDK — the protobuf codec, the SSE format, content negotiation, the JsonElement-to-protobuf Value bridge, or a brand new encoding — while preserving Native AOT compatibility and byte-level wire compatibility with @ag-ui/proto. USE FOR: working on AGUI.Formatting / AGUI.Protobuf, IAGUIEventStreamFormatter, transport content negotiation, the JsonElement-to-google.protobuf.Value bridge, SSE or protobuf framing, server formatter registration / AGUIResults.Events negotiation. DO NOT USE FOR: adding a new wire event TYPE (use agui-dotnet-wire-types), writing tests (use agui-dotnet-integration-tests).

Orchestrator/hub for implementing a feature or change in the AG-UI .NET SDK (sdks/dotnet). USE FOR: "what's the workflow", "what order do I do things in", "how do I implement a feature in the .NET SDK", starting any non-trivial AG-UI .NET SDK change, planning the end-to-end steps and definition-of-done (code + AOT serialization + client/server mapping + unit/integration/cross-language tests + docs + PublicAPI + AGENTS.md sync). DO NOT USE FOR: the deep how-to of a single step — this skill ROUTES to focused siblings: adding wire types (agui-dotnet-wire-types), transport/encoding (agui-dotnet-transport), unit tests (agui-dotnet-unit-tests), integration tests (agui-dotnet-integration-tests), cross-language tests (agui-dotnet-cross-language-tests), porting from TS/Python (agui-cross-sdk-parity), adding a GettingStarted sample Step (agui-dotnet-sample-step), SDK docs (agui-dotnet-sdk-docs), AGENTS/Architecture sync (agui-dotnet-agents-sync), the dojo (agui-dojo), review (agui-dotnet-code-review).

Vue adapter for the json-render devtools inspector. Use whenever the user wants to add, configure, or troubleshoot @json-render/devtools-vue in a Vue json-render app, including spec inspection, state editing, action and stream timelines, catalog browsing, or DOM picking.

Svelte 5 adapter for the json-render devtools inspector. Use whenever the user wants to add, configure, or troubleshoot @json-render/devtools-svelte in a Svelte json-render app, including spec inspection, state editing, action and stream timelines, catalog browsing, or DOM picking.

SolidJS adapter for the json-render devtools inspector. Use whenever the user wants to add, configure, or troubleshoot @json-render/devtools-solid in a SolidJS json-render app, including spec inspection, state editing, action and stream timelines, catalog browsing, or DOM picking.

Approve the pull request for the currently checked-out branch. Posts the review from this conversation as an approving review and adds the "QUEUED FOR MERGE" label. Use after review-pr when you decide to approve.

One-time setup of the sandbox prerequisites used by the reproduce-issue skill and the reproduce-verifier agent — Docker, the isolation runtime (gVisor on Linux / Colima on macOS), healthy container networking, and the nx-review-sandbox toolchain image (built from the repo's mise.toml). Idempotent; re-run any time to verify or repair. Use when the user says "set up the review sandbox", "install the sandbox prereqs", "build the sandbox image", or a reproduce-issue preflight reports something MISSING.

Find a GitHub issue in tldraw/tldraw, assign it, implement it, verify it, and open a pull request. Use when the user invokes take, asks to take an issue, implement an issue, work on an issue number or URL, or pick up an issue from a description.

Integrate Mem0 into an existing repository using a goal-driven, TDD pipeline. Detects the repo's language automatically and asks the user to pick between Mem0 Platform (managed) and Mem0 Open Source (self-hosted). Writes failing tests before any implementation. Produces a local feature branch plus `.mem0-integration/` artifacts consumed by the paired verification skill. TRIGGER when: user says "integrate mem0", "add mem0 to this repo", "wire mem0 into <repo>", or asks how to add memory to an existing project. DO NOT TRIGGER when: the user wants general SDK usage (use skill:mem0), CLI usage (use skill:mem0-cli), or Vercel AI SDK (use skill:mem0-vercel-ai-sdk). After success, invoke skill:mem0-test-integration to verify in the same workspace (loose coupling).

Launch OpenAI Codex CLI as a subagent (ChatGPT subscription auth, no API key). Use when delegating a self-contained coding task to Codex from another agent — parallel implementation work, a second opinion, or an independent verification pass.

Write a single-paragraph Deep Research prompt to hand to a human researcher (or a deep-research AI). Use when the user wants a research brief, a "deep research prompt", a one-paragraph task for a researcher, or asks "what should our researcher look for". Produces ONE tight paragraph with full context, numbered sub-questions, and per-finding output format.

GSC-driven content calendar. Pulls real Search Console data, finds the highest click-potential opportunities (striking-distance queries at positions 5-20, unanswered query intent, related-keyword expansions), and produces a dated, prioritized content calendar — ready to hand to /content-writer. Use when the user asks "plan my content", "what should I write next", "content calendar", "content plan", "content roadmap", "editorial calendar", "what topics will rank", "find quick-win SEO topics", "click-potential analysis", or "schedule my SEO content".

Audit, diagnose, plan, and safely operate connected LinkedIn Ads accounts through the NotFair MCP, with an export-based fallback. Use for LinkedIn advertising, sponsored content, lead-generation forms, job-title or company targeting, campaign groups, creatives, conversions, lead quality, budgets, bids, or approved LinkedIn campaign changes.