By testland
Data quality testing for analytical pipelines: 5 skills (dbt-testing, great-expectations, soda-checks, data-quality-gate, data-quality-conventions) and 2 agents (schema-diff-reviewer, data-anomaly-triager).
Reads a single data-quality failure (a dbt test result, a Great Expectations validation result, or a Soda scan line) and classifies the anomaly into one of five categories - drift, outlier, missing, referential, freshness - then proposes the likely owner and a remediation step. Use proactively after a data pipeline failure to route the failure to the right team.
Reviews a database-schema diff (PR migration files or `dbt run-operation` output) for breaking changes vs additive changes, missing data tests on new/changed columns, and downstream consumer impact. Use proactively before merging schema migrations. Returns a Critical / Warning / Info findings table with file:line references.
Reference catalog of data-quality conventions - when to choose dbt-tests vs Great Expectations vs Soda, column-level vs table-level coverage, severity tiering, SLA and freshness conventions, and common anti-patterns to avoid. Use when designing coverage for a new data product or auditing an existing one.
Builds a release-readiness gate for a data pipeline by gathering check results from one or more engines (dbt, Great Expectations, Soda), applying severity-aware pass/fail thresholds, and emitting a single go / no-go decision with per-check rationale. Use when authoring a CI step that must fail the build when data quality drops below thresholds.
Authors and runs dbt data tests (generic, singular, and custom-macro), parses test failure output from run_results.json, and gates dbt build on test results. Use when the user works with a dbt project, asks about model assertions, or needs CI gates on a data pipeline.
Authors Great Expectations (GX Core) ExpectationSuites, builds ValidationDefinitions and Checkpoints, runs validation against tabular batches, and parses the JSON result for CI gating. Use when the user works with Great Expectations on Pandas, SQL, or Spark data.
Authors and runs SodaCL (Soda Checks Language) checks against SQL warehouses (Snowflake, BigQuery, Postgres, Redshift, etc.) via `soda scan`, configures scan profiles in configuration.yml, and gates CI on scan exit code. Use when the user works with Soda Core / Soda Cloud or needs YAML-driven warehouse data quality.
Uses power tools
Uses Bash, Write, or Edit tools
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A rigorously curated quality-engineering plugin marketplace for Claude Code. 77 plugins, 695 components, every one rating-gated before merge.
d6 floordocs/REVIEWER_TRAINING.mdSee Quality bar and docs/REVIEWER_CHECKLIST.md.
The marketplace ships three kinds of building block:
qa-api-testing, qa-load-testing). You install only the plugins your
stack needs.great-expectations,
oauth-flow-test-author). Claude loads a skill when your request matches
its trigger; you can also ask for it by name.schema-diff-reviewer reviews a migration diff and returns a findings
table). An agent may preload one or more skills to do its work.Installed components stay dormant until a matching task comes up, so adding a plugin doesn't add noise — it adds capability that activates on demand.
/plugin marketplace add testland/qa
/plugin install <plugin-name>@testland-qa
For example:
/plugin install qa-data-quality@testland-qa
/plugin marketplace add https://github.com/testland/qa
git clone https://github.com/testland/qa ~/.claude/marketplaces/testland-qa
Before you install: plugins run inside your Claude Code session and ship agent instructions and tool wrappers. Anthropic doesn't vet marketplace contents — review a plugin's components before installing it into a sensitive project. Every component here is rating-gated (see Quality bar), but you remain in control of what runs.
New to the marketplace? Install one or two plugins for your role rather than everything — components activate on demand, so a focused set keeps things sharp.
| If you're a… | Try first |
|---|---|
| Manual / exploratory tester | qa-manual-testing · qa-bdd · qa-bug-repro |
| Test automation engineer | qa-web-e2e · qa-api-testing · qa-unit-tests-js |
| Performance engineer | qa-load-testing · qa-chaos-resilience |
| Security tester | qa-sast · qa-secrets · qa-dast |
| Lead / manager / head of quality | qa-roles · qa-test-management · qa-process |
The full catalog is below; for versions and component counts see
CATALOG.md.
Once a plugin is installed, its skills and agents are available to Claude
Code — invoke them by describing the task in plain language. Example with
qa-data-quality:
/plugin install qa-data-quality@testland-qa
great-expectations skill scaffolds an ExpectationSuite + Checkpoint and
wires the results into a CI gate.schema-diff-reviewer agent returns a Critical / Warning / Info findings
table covering breaking-vs-additive changes and downstream impact.Each plugin's README.md lists its skills and agents and what each one does.
Contract testing for microservices: 5 skills (pact-contract-testing, openapi-contract-diff, graphql-schema-regression, protobuf-compat-checking, contract-compatibility-gate) and 2 agents (contract-drift-investigator, contract-test-scaffolder).
Flake triage: 2 skills (flaky-test-quarantine, flake-pattern-reference) and 5 agents (e2e-flake-bisector, parallel-isolation-checker, regression-bisector, ai-flake-detector, e2e-test-trend-reporter).
Bug reproduction workflow: 1 skill (bug-report-template) and 8 agents (bug-report-from-recording, bug-repro-builder, crash-stack-trace-analyzer, defect-clusterer, defect-trend-narrator, escape-defect-analyzer, failure-classifier, test-failure-debugger).
API testing: 7 skills (postman-collections, restassured-testing, karate-testing, tavern-testing, schemathesis-fuzzing, restler-fuzzing, api-chaos-runner) plus 2 A2 agents — api-test-tool-selector (picks tool from project markers + goal) and api-test-author (composes the chosen tool to emit one functional test per endpoint + scenario).
Visual regression testing: 7 skills (percy-visual-regression-testing, chromatic-visual-regression-testing, playwright-snapshots, storybook-visual-regression-testing, responsive-breakpoint-runner, visual-baseline-conventions, visual-baseline-gate) and 2 agents (visual-diff-classifier, visual-baseline-curator).
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