manage-flows
Manage flow lifecycle - publish, test, batch operations, inventory reports. Use when the user asks to publish, test, batch manage, or get an inventory of flows.
287 skills
Manage flow lifecycle - publish, test, batch operations, inventory reports. Use when the user asks to publish, test, batch manage, or get an inventory of flows.
Debug a failed Power Automate flow run. Use when a flow failed, has errors, or the user wants to troubleshoot a run.
Validate a third-party control repo across four automated layers plus one printed manual recipe. Layer 1 asserts native-source structure (Android getName() and iOS +moduleName to manifest nativeModule; @ReactMethod / RCT_EXPORT_METHOD to methods; no @ReactModule) plus load/init readiness (ReactPackage public no-arg constructor, iOS [cls new] no-arg init, requiresMainQueueSetup NO, non-throwing eager construction), so launch-time crashes surface before any build. Layer 2 validates the committed `./manifest.json` against the ppmplugin-format rules. Layer 3 asserts request/response/error-code agr
Diagnose and fix failures in a built third-party `.ppmplugin` control: crashes, silent no-ops, PCF error outputs, or incorrect behavior. Uses the reported symptom, `shared/error-codes.md`, and file-level evidence to trace the manifest, Android/iOS modules, PCF dispatch, and build configuration. Produces a ranked diagnosis, asks for approval, then applies a surgical fix while keeping the committed manifest and affected contracts synchronized. Re-validates manifest changes through /generate-ppmplugin-manifest.
Use when the user wants to estimate the download size + sync frequency cost of an offline profile BEFORE pushing to users. Read-only. Wraps verify-offline-profile.js with per-table row-count estimates.
Use when the user has finished building a mobile app, started Metro with `npm run dev`, and wants the running app monitored for runtime errors AND silent failures (empty lists, blank screens, swallowed network errors) and fixed autonomously. Accepts a free-text symptom (e.g., `/debug-app "todos not appearing on home screen"`) to drive persisted-log diagnostics — injects temporary console.log statements at data-path boundaries, reads the sanitized `.powernative/metro-logs/` log, and cleans up logs after the root cause is fixed. Supports port/platform filtering, configurable clean-cycle and time
Inspect Playwright trace files from the command line — list actions, view requests, console, errors, snapshots and screenshots.
Set up component testing with Playwright using a story gallery — scaffold stories and a gallery dev page driven by the built-in mount fixture, no dedicated component-testing runtime. Use when asked to test React or Vue components in isolation with Playwright, or to migrate off @playwright/experimental-ct-react / -vue.
Triage a Playwright bug report by reproducing it from the information in the issue. Use when asked to triage, reproduce, or verify a GitHub issue (a new bug report, or an existing report with a new comment).
Query Playwright CI test results from the aggregated DuckDB database. Answers questions about flaky tests, failure rates, slow tests, and per-run/SHA/PR results without hunting through GitHub artifacts.
Explains how to develop Playwright - add APIs, MCP tools, CLI commands, and vendor dependencies.
Roll Playwright Python to a new driver version. Walks the upstream `docs/src/api/` commit range, ports each public-API change, suppresses the rest in `expected_api_mismatch.txt`, regenerates the typed surface, and adds tests.
Prepare a Playwright Java release after the rolling PR has merged — cut the release branch, mark the Maven version, draft the GitHub release, and tick the Java boxes in the internal checklist.
Investigate CI failures on OpenVMM PRs. Load when a PR has failing CI checks, you need to download and analyze test artifacts, or you need to diagnose build, fmt, clippy, or VMM test failures.
Build and run ONNX Runtime WebGPU provider tests on Linux WITHOUT a real GPU, using a software Vulkan adapter (Mesa lavapipe). Use when you need to exercise WebGPU EP kernels off-Mac — the Linux webgpu CI leg is build-only, so software Vulkan is how you actually run WebGPU correctness tests locally. SCOPE - lavapipe only validates host-side enforce/shape bugs and MatMul-free kernels; any graph containing MatMul (including the expanded-Attention node tests) crashes lavapipe and runs ONLY on macOS-arm64 Metal, which is the source of truth for those. Covers install (dnf on Azure Linux), the --use
Run the ONNX Runtime transformers Python tests (onnxruntime/test/python/transformers) against a GPU wheel, and confirm real cuDNN/flash SDPA dispatch. Use when a transformers pytest fails with ModuleNotFoundError onnxruntime.capi, when torch's bundled CUDA/cuDNN libs shadow the ORT-built ones (wrong-version dispatch or load errors), or when you must PROVE a test exercised the cuDNN SDPA decode tier instead of silently skipping/falling back to MATH.
Review ONNX Runtime pull requests, branches, commits, patches, and working-tree changes for actionable findings and missing tests.
Pointer to the full Reactor API signatures index (`references/reactor.api.txt`). The 90% of DSL content — hooks, components, common factories, modifiers, theme tokens, gotchas, React-to-Reactor mapping — already lives in `reactor-getting-started`. Load this skill only when you need to verify a less-common signature against the alphabetized full index.