Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Run Maven tests in this repo with a consistent workflow (module test-artifact cleanup, root -Pquick install to refresh .m2_repo, then module verify or a single test class/method). Use when asked to run tests/verify in the rdf4j multi-module build or when the user says mvnf.
Use QueryPlanSnapshotCli to capture and compare RDF4J query plans, then assess likely performance improvements/regressions from execution verification and semantic plan diffs. Trigger when users ask about optimizer impact, query-plan drift, join algorithm changes, or query performance regressions in testsuites/benchmark.
Write and maintain Rust CLI/integration tests with snapbox 0.6+ using command assertions, inline snapshots, and minimal wildcard/redaction patterns. Use when replacing manual `get_output` parsing, stabilizing cross-platform snapshots, or refining existing snapbox assertions.
PR 审查、测试、修复、合并全流程。从创建集成分支到最终通过 GitHub Squash Merge 合并。使用场景：审查 PR 代码、运行 GUT 测试、修复问题、合并提交。
QA 工程师 Agent — 测试策略、测试用例设计、自动化测试、性能测试、安全测试
Complex DAG testing workflows with debugging and fixing cycles. Use for multi-step testing requests like "test this dag and fix it if it fails", "test and debug", "run the pipeline and troubleshoot issues". For simple test requests ("test dag", "run dag"), the airflow entrypoint skill handles it directly. This skill is for iterative test-debug-fix cycles.
Comprehensive DAG failure diagnosis and root-cause analysis with structured investigation and prevention recommendations. Use when deep failure investigation is needed, a DAG fails to import/parse or 'airflow dags list' errors on a file; a task or run is failing and must be diagnosed and fixed; requests like 'why did X fail', 'my dag keeps failing — find and fix it', or fixing a broken DAG so it loads cleanly. For simple 'why did it fail / show logs', the airflow skill handles it directly.
Check content/ mql.yaml query packs for usage of deprecated resources or fields from .lr definitions
Orchestrates a GitHub PR review loop by delegating triage and implementation to dedicated sub-agents, then repeating until actionable review items are cleared. Use when the user says “address PR review”, “triage review comments”, or “iterate until review is clean”.
Fetches canonical PR review state and renders derived state artifacts. Use when the user wants the state acquisition phase only (fetch, render, summarize) for a review-framework PR.