robustmq-chaos-test
7×24 chaos testing for RobustMQ. Injects broker-kill and network-delay faults, validates SDK client resilience across Python/Go/Rust/Java, and publishes a Markdown + JSON report to GitHub after each run.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
7×24 chaos testing for RobustMQ. Injects broker-kill and network-delay faults, validates SDK client resilience across Python/Go/Rust/Java, and publishes a Markdown + JSON report to GitHub after each run.
Review a GitHub pull request in the Radius repository and produce concise, line-accurate feedback. Use when asked to review a PR, generate review feedback for a PR, or stage review comments for a PR.
Verify a Zotero translator after every addition or modification, and before submitting a PR. Runs linting, tests, and metadata updates.
Structured MPS bugfix workflow driven by a YouTrack issue ID — preflight tool checks, version/branch derivation, parallel-agent problem analysis, solution design, branch creation, implementation, review, and YouTrack updates. Use when the user invokes "/bugfix", asks to "fix a bug", "work on a bug", "investigate an issue", or provides a YouTrack issue ID.
Use when writing or modifying tests inside MPS `@tests` models — `NodesTestCase` (typesystem, constraints, scopes, dataflow, generator output), `EditorTestCase` (intentions, actions, keystrokes, side-transforms, completion), `MigrationTestCase` (migration scripts), `BTestCase` (plain JUnit on hand-written Java/Kotlin runtime), inline annotations such as `has error` / `has type` / `ScopesTest`, label-based `node<label>` cross-references, caret markers, and running tests via MCP / in MPS. Reach for this skill whenever the task involves authoring or fixing tests in a `tests`-stereotype model, or interpreting failures from one.
Use when duplicate rows, unstable primary keys, repeated ingestion, or failed uniqueness checks appear in a Bruin asset.
Use when a Bruin pipeline, asset, or command fails and the cause is not yet clear.
Use when a Bruin quality check fails or starts warning unexpectedly.
Use when a pipeline fails because source, destination, or declared asset columns may have changed.
Run an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.