test flake hunter
by Roy Yuen
Detect and analyze flaky tests across multiple frameworks with automated repeated execution and severity reporting.
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141 skills found
by Roy Yuen
Detect and analyze flaky tests across multiple frameworks with automated repeated execution and severity reporting.
Generate professional pytest suites using behavior-driven matrices, AAA patterns, and resilient fixture architecture.
Lint an exported n8n workflow before it ships: catches broken or duplicated nodes, missing error handlers, credential stubs, unhandled retries, unsafe webhooks, brittle expressions, and missing idempotency. A read-only pass over your workflow JSON that ranks production-readiness gaps with evidence and concrete fixes.
Automatically detect accessibility issues in websites and applications following WCAG and accessibility standards.
Map the blast radius of a code change before you run the whole suite. For the files and functions you changed, it lists what imports or calls them, which tests cover them, flags any change with no covering test, and warns when a file has a lot of dependents. It tells an agent what its edit might break instead of making it guess. Resolves Python and JavaScript/TypeScript.
Find the unit tests that pass without testing anything. Flags tests with no assertions, trivial existence-only checks (toBeDefined, assertIsNotNone), tests that assert the exact value they just mocked, snapshot-only tests, tautological assertions (expect(true).toBe(true)), empty placeholders, and over-mocked tests with more setup than assertions. Works on Jest/Vitest and pytest/unittest.
One-line summary description Stop your agent from claiming "done" before it's proven. A verification gate that classifies each change by risk (payment, auth, database, user-facing), picks the tests that actually cover it, demands evidence, maps regression risk, and outputs an honest pass/fail report. Turns "looks good to me" into "here's what I ran, and here's what's still unverified."
Generate runnable accessibility regression tests, not just a findings report. Detects a11y issues, missing alt text, unlabeled controls, keyboard and focus gaps, in your routes, components, or HTML, then emits Playwright + axe-core spec files with targeted assertions and remediation tickets for each. Previews the tests first and writes them only on your confirmation.
by Matthew King
Architect, scaffold, and audit enterprise-grade Playwright test suites with professional CI and auth patterns.
Lint an OpenAPI spec and diff two versions to catch breaking API changes before they reach consumers. Within a spec it flags missing operationId, success responses with no schema, untyped parameters, operations with no security requirement, and unbounded arrays/strings. Across two versions it flags removed paths and operations, removed response codes, a parameter becoming required, narrowed parameter types, removed enum values, and removed response fields. Analyzes JSON specs (convert YAML to JSON first).
by Eric Pi
Systematic root cause analysis skill to find and fix the source of bugs, not just the symptoms.
Audit your frontend build against a performance budget and catch size regressions before you ship. Flags total bundle over budget, initial bundle over budget, individual chunks over a threshold, oversized image assets, source maps shipped to production, and large unminified JavaScript. Reads a webpack or Vite-style stats.json plus a perf-budget.json you control.
Run structural QA on your translation files across locales. Flags missing keys, placeholder mismatches ({name}, %s, {{var}}), strings left untranslated and identical to the source, length-overflow risk that breaks UI, terminology drift against a glossary, empty targets, and plural-category gaps. Works on JSON, gettext .po/.pot, and .properties. It checks form, not meaning, so you do not need to speak the target language to use it.
Turns Claude into a senior WordPress launch reviewer that audits a site, theme, or plugin against the entire pre-launch standard across 7 weighted domains and returns one objective go/no-go decision with a scored blocker list.
'Should work now' is the most expensive sentence in software — it means the change was reasoned about, not observed, and the next person to touch this code will pay for that assumption
by Ikerg
Structural and cell-level diffing for CSV/Excel with schema drift detection and CI-ready exit codes.
Generate a real test suite for any function, module, or file — meaningful edge cases, error paths, boundary conditions, and proper mocks, not happy-path stubs. Detects your project's framework and conventions, plans the cases deliberately before writing, and hands back runnable tests plus a summary of what's covered. Built to write the tests that actually catch bugs.
A QA lead for AI automations and agent systems — turns a delivery into acceptance criteria, UAT scripts, a non-determinism test plan, a failure-mode matrix, and a client-ready sign-off pack, or audits an existing automation for the gaps that cause silent production failures.
Turns an OpenAPI/Swagger spec into an exhaustive, framework-ready test suite — happy-path, validation, contract-conformance, auth, and defensive security tests — with a coverage matrix mapping every endpoint, status code, and schema constraint to a test.
by Roy Yuen
Transform high-level goals into autonomous Plan-Build-Run-Learn iteration loops with persistent workspace learning.
Design and write the eval suite for your LLM-powered feature — the metrics that match your failure modes, a golden dataset plan with starter cases, anchored rubrics, LLM-as-judge prompts with the known bias mitigations, and pass/fail gates wired for CI.
by Timoranjes
Teaches AI coding agents to generate production-quality Playwright end-to-end tests from page analysis, user stories, or existing code. Covers selector strategy, test structure patterns, flakiness prevention, and CI integration — for QA engineers and solo devs tired of AI-generated tests that break on first run.
by Shandra
Tests AI agents, prompts, and agent skills against edge cases, unsafe behavior, output failures, permission risks, escalation gaps, memory leaks, and marketplace-quality weaknesses.
Turn a diff into a structured pull request description — what changed and why, guidance on where to review and what's risky, honest testing notes, and migration/rollback notes. Scaled to the size of the change, so review is faster and the merge is safer.