Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Prepares act-testable GitHub Actions workflow scenarios for this monorepo. Use when validating workflow logic locally, generating temporary test harnesses, checking logic drift, assessing local act feasibility, and proposing reproducible user-run test cases.
Validates GitHub Actions workflow changes in this monorepo using actionlint, conftest policy checks, spotless formatting, and act testability assessment. Use when creating, editing, or reviewing workflow files.
Use when writing, modifying, or debugging unit tests (*.test.tsx) in the orchestration cluster webapp (webapp/client/apps/orchestration-cluster-webapp/src/). Covers Vitest browser mode, MSW mocking, and vitest-browser-react rendering.
Trigger, monitor, update, profile, and stop Camunda load tests using gh CLI and kubectl directly — no MCP server required
Use when writing or adding Vitest tests for Positron src/vs/ code, checking a branch/PR for test-coverage gaps, or testing React components with RTL.
Generates clear, actionable verification guides for QA testing of Positron bug fixes and features
Grade whether a Positron PR has adequate test coverage. Evaluates new tests in the PR, checks existing coverage for changed source, and suggests concrete additions when coverage is insufficient. Used by the pr-test-checker GitHub Action.
Use when reviewing Vitest test files (.vitest.ts/.tsx) for quality against Positron's builder pattern, RTL patterns, and conventions. Not for e2e or Playwright tests.
Build and smoke-test bpf-developer-tutorial lessons without loading BPF programs into the host kernel. Use when creating, changing, reviewing, or debugging an eBPF tutorial and the runtime test should reuse the already-built x86 kernel under bpf-benchmark through virtme-ng/KVM. Also use for checking whether a tutorial needs a newer kernel feature. Do not use this workflow for performance benchmarking or for rebuilding the benchmark kernel.
Common override guidance for all skills/test_model sub-skills. Applies to LightLLM model accuracy/speed tests that use lm_eval or lmms_eval, especially local-completions GSM8K runs.