jaktestowac.pl

Writes and reviews focused, deterministic unit tests that verify behavior through public interfaces instead of implementation details. Use whenever tests are added to code that already exists, and when the request mentions unit tests, test coverage, edge cases, mocks or test doubles, "add tests for this function", "cover this module", "these tests are flaky", or "this test breaks every refactor". Also use when reviewing an existing suite for brittleness, weak assertions, or missing boundary cases.

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Writes a few solid unit tests, using a compact set of rules for structure, assertions, determinism, and edge cases. Use for routine everyday testing of a single function, class, or small module, or for a quick sanity check on tests someone just wrote. For legacy backfills, flaky-suite investigations, deep test-double design, or a full suite review, use the writing-unit-tests skill instead.

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Writes and reviews API automation tests with Playwright Test, covering setup/teardown, assertions, data management, and hybrid API+UI flows. Use when creating backend API tests, contract checks, data-driven API coverage, API+UI hybrid workflows, or reviewing existing Playwright API suites.

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Produces an evidence-backed go/no-go recommendation: exit criteria status, open-defect risk profile, coverage against risk, environment parity, rollback readiness, and the residual risk stated plainly. Use when preparing a release sign-off, when someone asks whether a build is ready to ship, or when a decision to release is being made on impressions rather than evidence.

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Records human verification - code review, exploratory sessions, UAT, accessibility passes, UX and observability reviews - as dated, attributed attestations in a register, so human-centric practices stay in the quality contract without pretending to be automated checks. Use when a strategy requires verification no tool can prove, when sign-off evidence is scattered across chats and tickets, when a gap matrix needs to distinguish "attested" from "passed", or when an audit asks who verified what and when.

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Performs webpage and user-flow accessibility audits with WCAG 2.2 guidance, manual verification checklists, prioritized remediation output, and stakeholder-ready summaries. Use when auditing accessibility on a URL, triaging suspected a11y issues, or producing technical findings with practical next steps.

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Performs a quick, lightweight review of a small diff or single file, giving concise feedback on correctness, readability, tests, and obvious risks. Use when the user asks for a fast sanity-check review of a small change. For test-automation suites, architectural refactors, security-sensitive paths, or multi-file reviews, use the code-review-advanced skill instead.

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Creates GitHub Copilot skills with reusable workflows, companion resources, and validation gates. Use when packaging repeatable expertise into a `SKILL.md` folder, deciding what belongs in the skill body versus resources, or producing install-ready skill examples for a team or collection.

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Shapes QA output for the person who has to act on it: result and blocker in the first two lines, one decision per report, findings ordered by what they cost, the long artifact in a file and the decisions in the message, and magnitude stated in units the reader can count. Use when a report is accurate but nobody acts on it, when a finding set is too long to read under time pressure, when the same findings must be retold for a developer, a release manager, and an on-call engineer, or when the request mentions "too long", "make this readable", "just tell me what to do", "so what", or "summarize this for stakeholders". Pairs with unslop-answers, which makes the same report honest.

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Creates GitHub Copilot custom agents (`.agent.md`) for VS Code. Use when defining a specialized agent role, selecting a minimal toolset, referencing supporting skills, or shipping install-ready agent examples with clear boundaries and collaboration rules.

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Creates GitHub Copilot hooks for VS Code using `hooks.json`, supporting scripts, and companion docs. Use when automating deterministic checks, pre/post tool policies, or reusable hook packs that need safe defaults, observability, and clear installation guidance.

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Creates GitHub Copilot instruction files for VS Code, including repository guidance and scoped `.instructions.md` rules. Use when encoding project conventions, choosing `applyTo` patterns, or shipping install-ready instruction examples with rationale and guardrails.

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Creates agent orchestration packs: cooperating `.agent.md` files with an orchestrator, subagents, matched handoffs, minimal tool grants, and a shared handoff packet contract. Use when one agent role is too broad for a job, when a workflow needs explore, plan, implement, review, and verify as separate roles, or when a pack fails the orchestration lint because a handoff target does not resolve.

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Packages repository skills as installable Copilot plugins: marketplace registration, `plugin.json` manifests, generated skill copies, and the sync check CI enforces. Use when bundling one or more skills for installation, when adding a plugin to the marketplace, or when `npm run lint` reports that a plugin copy has drifted from its source skill.

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Creates GitHub Copilot prompt files (`.prompt.md`) for VS Code. Use when building reusable workflow starters that route work to the right agent, collect the right inputs, and ship with install-ready templates, examples, and validation guidance.

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Performs evidence-driven code review for pull requests, legacy modules, and quality-critical changes. Use when reviewing complex or multi-file changes, test automation suites, architectural refactors, or hot paths that need analysis of correctness, maintainability, security, performance, test quality, and operability risks. Provides structured feedback with severity-ranked findings, actionable recommendations, and clear rationale. For a fast sanity check of a small diff or single file, use the code-review skill instead.

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Derives a project-specific quality contract from three axes - risk profile, team maturity, and product surface - labelling each testing practice MUST, SHOULD, or COULD, then produces a PRESENT/PARTIAL/MISSING/WAIVED gap matrix with an ordered remediation plan. Use when a project has no agreed testing strategy, when a team argues about which practices are mandatory, when onboarding a legacy or inherited repository, when a quality strategy document has to be derived from evidence instead of opinion, or when someone asks "what testing should we actually be doing here".

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Designs risk-based functional test plans, manual test cases, regression slices, and automation handoff packs from requirements, URLs, or exploratory notes. Use when preparing manual QA coverage before automation, turning feature descriptions into scenario catalogs, or converting exploratory findings into structured test assets.

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Designs realistic, boundary-heavy, and role-aware test data packs for manual and automated testing. Use when a feature needs deliberate inputs and fixtures before execution, when edge-case values keep being improvised, or when automation needs stable example data with setup notes.

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Writes the documentation a test suite needs to be usable by someone who did not build it: run instructions, environment setup, tag glossary, ownership, fixture and data notes, and architecture decision records. Use when onboarding someone into a suite, when "how do I run these" keeps being asked, when a test architecture decision needs recording, or when a suite is inherited with no documentation.

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Generates the CI workflow that enforces a quality contract: layered jobs from fast local hooks to release gates, per-practice steps for JS/TS toolchains, diff-scoped checks, sticky PR reporting, required-check wiring, and a severity policy deciding what fails the build. Use when quality practices are agreed but not enforced, when CI runs everything on every commit, when a gate reports green while the check it runs cannot fail, or when a per-change gate needs to post findings on the pull request.

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Turns "we will skip this check for now" into a dated, attributed, expiring waiver with a stated reason and owner, inventories the silent skips already hiding in a repo - skipped tests, disabled lint rules, ts-expect-error, continue-on-error, lowered thresholds, coverage ignores - and reports expired waivers as findings. Use when a team wants to bypass a quality gate, when skip lists and quarantined tests accumulate without owners, when an audit asks why a check is off, or when a repo needs to know what it has quietly stopped enforcing.

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Keeps test data legally and operationally safe: classifies personal data, replaces production copies with synthetic or anonymized fixtures, manages secrets in local runs and CI, strips personal data from traces and HAR files, and sets retention rules. Use when tests run against a production data copy, when fixtures contain real names or emails, when a data protection review is coming, or when test artifacts might carry personal data into CI logs.

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Measures the risk that code shipped without anyone understanding it: a teach-back attestation on high-risk changes, a risk band from changed-code complexity, diff size and whether a human explanation accompanied it, and optional AI-authorship provenance. Findings stay advisory by design. Use when an AI-assisted codebase grows faster than the team reads it, when reviews are rubber-stamped, when nobody can explain a module that ships weekly, or when leadership asks how much of the code the team can actually maintain.

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