Guides labeling and linting test-case YAML files in SCT with test_metadata sections. Use when bulk-adding test_metadata to multiple test cases, running lint-test-docs to find coverage gaps, or auditing label accuracy across a directory. Triggers: "label…
scylladb/scylla-cluster-tests
SkillsMP has collected 16 skills from scylladb/scylla-cluster-tests. Open a skill to review its source and details.
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Skills in this repository
Showing 16 of 16 collected skills.
Guides reviewing and generating test_metadata sections for SCT test-case YAML files. Use when adding or auditing test_metadata to a test-case YAML, checking that description, tier, test_type, stress_tools, nemesis_labels, and features are accurate and…
Generate Gmail-compatible HTML performance weekly status reports from Argus CLI data. Use when asked to produce a weekly perf summary, create a performance status email, aggregate latency and throughput results across enterprise perf tests, or generate an…
Guides writing new nemesis (chaos engineering disruptions) for the SCT framework. Use when creating a new NemesisBaseClass subclass, adding disruption logic, setting nemesis flags, or configuring target node pools. Covers the sdcm/nemesis/ package structure,…
Manage stacked PRs in scylla-cluster-tests using the gh-stack CLI extension (GitHub's native stacked PR support, public preview since 2026-07-31). Use when asked to split a large change into a chain of small reviewable PRs, check stack status,…
Generate Confluence-compatible HTML comparison pages from multiple SCT test runs. Use when comparing performance or elasticity test results across runs with different parameters (instance types, configurations, versions). Covers fetching run metadata and…
Guides AI-assisted code review of SCT pull requests. Use when reviewing a PR, checking a diff for correctness, evaluating method signature changes across class hierarchies, verifying override compatibility, checking import conventions, error handling…
Use when asked to generate an implementation plan, draft a plan, save a plan, or design a feature rollout for the SCT repository. Supports two formats: full 7-section plans for multi-phase work (1K+ LOC, tracked in MASTER.md) and lightweight mini-plans for…
Guides writing remote package installation commands (apt-get, yum, dnf, zypper) in SCT code. Use when adding apt-get install/update, yum install, dnf install, or zypper install calls via remoter.run/remoter.sudo. Ensures timeouts, retries, and non-interactive…
Migrate SCT test configs and pipeline jobs from literal instance_type params to constraint-based sizing_db/sizing_loader/sizing_monitor. Use when converting instance_type_db, gce_instance_type_db, azure_instance_type_db, instance_type_loader,…
Generate weekly commit summary reports for SCT repository. Use when asked to create a commit summary, weekly report, changelog, or "last week in SCT" issue. Applies to summarizing git commits from scylla-cluster-tests master branch for developer audiences.…
Guides writing and debugging unit tests for the SCT framework using pytest conventions. Use when creating new test files in unit_tests/, adding test cases, mocking external services, setting up fixtures, or reviewing test coverage. Covers network-blocking…
Guides writing and debugging integration tests for the SCT framework that interact with real external services. Use when creating tests requiring Docker, AWS, GCE, Azure, OCI, or Kubernetes backends. Covers service labeling, credential skip patterns, Docker…
Fix inline merge conflict markers in backport PRs by resolving conflicts and recommitting cleanly with original metadata preserved. Use when a backport PR has unresolved conflict markers, a cherry-pick produced merge conflicts, or a PR has the 'conflicts'…
Guides the design and structuring of AI agent skills for the SCT repository with multi-step phases, progressive disclosure, and dual-platform compatibility (GitHub Copilot and Claude Code). Use when creating new skills, reviewing existing skills,…
Profile Python code in SCT to find CPU, memory, and concurrency bottlenecks using cProfile, scalene, memray, and py-spy. Use when a test or framework operation is unexpectedly slow, memory usage grows unbounded, you need to find which functions dominate CPU…