Locate and modify TypeScript configuration in RedisInsight. Use when adding path aliases, introducing a new TS area, debugging webpack/ts-node/ESLint path resolution, or the user asks about tsconfig, path mappings, or where TypeScript is configured.

Critical safety guardrails for protected branches: never commit, push, or force-push directly to main, latest, or release branches; no destructive history rewrites without explicit user approval. Use before any git operation that touches protected branches, before force-push, reset --hard, history rewrite, or branch deletion, or whenever the user asks about merging, pushing, or release branches.

Use this guide when working on TypeScript changes in the FAST monorepo — authoring Web Components, writing templates and styles, working with the observable/reactive system, and testing.

Use this skill when running or writing tests in the FAST monorepo — local test execution, CI workflows, Playwright fixtures, and WebUI integration testing.

Generates a lightweight `tests/test_runnability.py` for a Python recipe. The test just imports the recipe's agent module and asserts that `root_agent is not None` (and `app is not None` if the module defines one). The skill parses agent.py with `ast` to figure out which import-time side effects need mocking (`vertexai.init`, `google.auth.default`) and which env vars need setting (`GOOGLE_CLOUD_PROJECT`, `INTEGRATION_TEST`), and only emits the boilerplate the recipe actually needs. Runs in dry-run (report + preview) and apply (write to disk) modes. Use when the user wants to "add a runnability test", "generate test_runnability.py", "create a smoke test for the recipe", or fix the missing-required-file failure from `python-validate-recipe.yml`.

Aligns a Python recipe's pyproject.toml with the repo's standards enforced by .github/workflows/python-validate-recipe.yml, plus one critical [build-system] presence check. Scope is pyproject.toml only — standalone ruff.toml / .ruff.toml files (also forbidden in recipes) are caught by the CI workflow instead, not by this skill. Runs in two modes: a read-only --dry-run that reports what needs alignment, and an apply mode that rewrites pyproject.toml (and optionally manifest.yaml) using comment-preserving TOML/YAML editors. Use when the user wants to "align the recipe's pyproject.toml", "fix pyproject to match the repo standard", "check what needs changing in a recipe's pyproject", or clean up a recipe before submitting a PR.

Use when creating docs pages, configuring navigation, adding components, or setting up API references with Mintlify.

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.

Surface a reasoning/thinking model's intermediate thoughts separately from its final answer with the AG-UI .NET SDK — so a client can show the agent "thinking" before it responds, and handle that reasoning trace correctly across turns. USE FOR: distinguishing the model's reasoning trace from its answer on the client by matching TextReasoningContent vs TextContent in each ChatResponseUpdate's Contents; rendering thinking and answer in different ways as they stream; deciding whether to carry the reasoning text into later turns (whether to append/resend the model's reasoning back into conversation history). DO NOT USE FOR: plain text streaming with no reasoning display (use agui-dotnet-streaming-chat); tools, shared state, interrupts, multimodal, generative UI, or protobuf.

Add a GettingStarted sample Step (a Server/Client pair) to the AG-UI .NET SDK that demonstrates one protocol feature the way we want users to write it. USE FOR: adding a new samples/GettingStarted/StepNN_<Name> Server+Client pair, wiring it into AGUI.slnx and the integration-test project, giving it a deterministic FakeChatClient for replay, and registering it in the Step tables in AGENTS.md / docs/architecture.md. DO NOT USE FOR: the replay/Verify integration-test mechanics (use agui-dotnet-integration-tests), the dojo scenarios under samples/AGUIClientServer (use agui-dojo), or protocol/wire changes the sample exercises (use agui-dotnet-wire-types / agui-dotnet-transport).

Write integration tests for the AG-UI .NET SDK. USE FOR: adding a new AG-UI event type and covering it end-to-end, testing SSE or protobuf streaming through the hosting pipeline, verifying AGUIChatClient maps events to ChatResponseUpdate, multi-turn conversation tests, parameterizing a test over Json/Protobuf transports, adding or updating a GettingStarted sample replay/Verify snapshot. Covers: WebApplicationFactory + DelegatingStreamingChatClient setup, IChatClient-based assertions with Assert.Collection, TransportFormat [Theory] (Json/Protobuf), recording/replay capture infrastructure, and the 8-capture-point Verify baselines. DO NOT USE FOR: unit tests of event serialization (use tests/AGUI.Abstractions.UnitTests) or stream-conversion unit tests (use tests/AGUI.Server.UnitTests).

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).

Keep the AG-UI .NET SDK docs (sdks/dotnet/AGENTS.md and docs/architecture.md) in sync with the real code tree after structural changes. USE FOR: "update AGENTS.md / docs/architecture.md", "check the dotnet docs are current", verifying docs after a .NET SDK refactor (package rename, added/removed project, changed endpoint pattern, new/renamed test project, sample step added, new convention). DO NOT USE FOR: writing product code or tests (follow AGENTS.md itself), Python/TypeScript SDK docs, or generic markdown editing unrelated to the dotnet SDK structure.

Drop-in inspector panel for any json-render app. Use when the user wants to debug a generative UI, inspect the spec tree, edit state at runtime, see dispatched actions, follow stream patches live, browse a catalog, or pick DOM elements to find their spec keys. Triggers include "add devtools", "debug json-render", "inspect the spec", "why is this element not rendering", "see the state at runtime", or requests to tap streams / capture action logs for `@json-render/devtools`.

Code review the current PR (or branch diff against main) for bugs, security, and AGENTS.md compliance. MUST use when asked to review code.

Finalizes any PR for merge by verifying title/description match implementation AND performing code review for best practices. Use when asked to "finalize PR", "check PR description", "review commit message", before merging any PR, or when PR implementation changed during review. Do NOT use for extracting lessons (use learn-from-pr), writing tests (use write-tests-agent), or investigating build failures (use azdo-build-investigator and ci-analysis).

Explore and understand Nx workspaces. USE WHEN answering any questions about the nx workspace, the projects in it or tasks to run. EXAMPLES: 'What projects are in this workspace?', 'How is project X configured?', 'What targets can I run?', 'What's affected by my changes?', 'Which projects depend on library Y?', or any questions about Nx workspace structure, project configuration, or available tasks.

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.

Create or update a pull request for the current branch in the tldraw repository. Use when the user invokes pr, asks to create a PR, update an existing PR, push current branch changes for review, or prepare a pull request.