name qa-manual-istqb description ISTQB Foundation Level (CTFL) aligned QA toolkit for manual and automated testing. Use when asked to create test plans, test strategies, test conditions, test cases, bug reports, defect logs, regression suites, traceability matrices, or exploratory charters. Supports risk-based testing, test design techniques (equivalence partitioning, boundary value analysis, decision tables, state transitions), test estimation, static testing reviews, and test process management. Includes Playwright automation guidance for test implementation.
ISTQB Manual & Automation QA Toolkit
Complete ISTQB Foundation Level (CTFL) aligned workflow for QA test engineers covering:
Test Planning → Test Analysis → Test Design → Test Implementation → Test Execution → Test Completion
When to Use This Skill
Creating or reviewing test plans and test strategies
Generating test conditions and test cases from requirements
Applying test design techniques (EP, BVA, decision tables, state transitions, use cases)
Writing bug reports and managing defect lifecycle
Building regression suites with risk-based selection
Creating traceability matrices (requirements ↔ tests ↔ defects)
Conducting exploratory testing sessions with charters
Estimating test effort using ISTQB techniques
Reviewing testware through static testing practices
Implementing automation with Playwright (TypeScript)
Prerequisites
Requirement Notes Node.js 18+ Required for CLI script and Playwright Playwright npm init playwright@latest for automationText editor For creating/editing markdown and CSV artifacts Git Recommended for testware version control
Quick Start (choose one)
Create a test plan: use templates/test-plan.md as a starting point.
Create a test summary report: use templates/test-summary-report.md.
Generate test cases: use templates/test-cases.csv and fill it from the test basis (requirements, user stories, acceptance criteria).
Create a bug report: use templates/bug-report.md.
Create a bug log: use templates/bug-log.csv.
Create traceability: use templates/traceability-matrix.csv.
Build a regression suite definition: use templates/regression-suite.md.
Scaffold Playwright tests: use templates/playwright-spec.ts and adapt to the system under test.
Run exploratory testing: use templates/exploratory-charter.md to timebox and capture outcomes.
If running locally, generate artifacts with the bundled CLI:
node scripts/qa_artifacts.mjs list
node scripts/qa_artifacts.mjs create test-plan --out specs --project "My App" --release "R1"
node scripts/qa_artifacts.mjs create test-cases --out specs --feature "Checkout"
node scripts/qa_artifacts.mjs create bug-report --out specs/bugs --title "Search returns 500"
Inputs to collect (ask if missing)
Test basis : requirements, user stories, acceptance criteria, designs, risk register, defect history.
Scope : in-scope/out-of-scope features, target platforms/browsers/devices, locales, accessibility, integrations.
Quality risks : what can fail, impact, likelihood, regulatory/compliance, critical user journeys.
Constraints : deadlines, environments, data availability, tooling, access/roles, CI/CD expectations.
Definitions : severity vs priority scale, test levels and test types to cover, entry/exit criteria.
Workflows
1) Create a test plan (and/or test strategy)
Identify test objectives, scope, assumptions, and constraints from the test basis.
Define test levels and types (functional + change-related + key non-functional, as applicable).
Choose test design techniques per area (see references/test-design-techniques.md).
Specify environments, test data, tooling, and configuration management needs.
Define entry/exit criteria, deliverables, and reporting cadence/metrics.
Add a risk matrix and mitigation actions; prioritize testing accordingly (risk-based testing).
Use: templates/test-plan.md (detailed sections + checklists).
2) Generate test conditions and test cases
Convert the test basis into test conditions (what to test) before writing step-by-step cases.
For each condition, pick a technique:
Equivalence partitions and boundary values for inputs/validation.
Decision tables for rule combinations.
State transitions for lifecycle/flows.
Use-case/scenario tests for end-to-end journeys.
Exploratory testing sessions to learn quickly (see templates/exploratory-charter.md).
Write test cases that are atomic, unambiguous, and traceable to requirement/user story IDs.
Add expected results that are observable and measurable (define the test oracle).
Add priority and risk tags to support risk-based regression selection.
Mark automation candidates using stability + value criteria (see references/automation-playwright-best-practices.md).
Use: templates/test-cases.csv.
3) Implement automation test scripts (Playwright-first)
Keep tests readable and aligned with test cases (include test case IDs in titles).
Prefer stable locators (e.g., getByTestId) over brittle selectors.
Avoid arbitrary sleeps; rely on Playwright auto-waits and explicit assertions.
Make tests independent (setup preconditions explicitly; avoid order dependencies).
Use tagging in test titles (e.g., @smoke, @regression) so suites are runnable via --grep.
Capture artifacts for triage (screenshots/video/trace) when debugging failures.
Use: templates/playwright-spec.ts and references/automation-playwright-best-practices.md.
4) Build and maintain regression suites
Define suite tiers (example): smoke (critical paths), sanity (build verification), regression (broad), full (release).
Select tests using risk + frequency + criticality + defect history (not only coverage).
Tag tests consistently and document selection rules and ownership.
Review the suite regularly: remove obsolete coverage, add coverage for escaped defects and high-risk changes.
Use: templates/regression-suite.md and references/regression-suite-strategy.md.
5) Create bug reports and document bugs effectively
Reproduce reliably; reduce to minimal steps; note variability (frequency) and scope.
Capture environment details (build/app version, OS, browser/device, account/role, data conditions).
Describe expected vs actual behavior; include impact; set severity and priority consistently.
Attach evidence (screenshots, console logs, network traces, Playwright trace) and link related tests/requirements.
Track lifecycle: triage notes, owner, fix version, verification steps and results, closure criteria.
Use: templates/bug-report.md and references/bug-report-quality.md.
6) Conduct static testing (reviews)
Schedule reviews early (shift-left): requirements, designs, test plans, test cases.
Use checklists for consistency (see references/static-testing.md).
Document findings with severity and actionability.
Track defects found in static testing separately (prevention vs detection).
Use: references/static-testing.md for review checklists and techniques.
7) Estimate test effort
Identify factors: scope, complexity, risk, team experience, tool maturity.
Apply estimation techniques (see references/test-estimation.md):
Expert judgment / historical data
Test point analysis
Work breakdown structure
Add contingency for risks and unknowns.
Review and refine estimates as the project progresses.
Use: references/test-estimation.md for techniques and formulas.
8) Monitor test progress and metrics
Track execution metrics: planned vs executed vs passed vs failed vs blocked.
Monitor defect metrics: found vs fixed vs open, by severity/priority.
Calculate test coverage: requirements covered, risk areas tested.
Report status regularly and escalate blockers early.
Use: references/test-monitoring-metrics.md for metrics definitions and dashboards.
Quality Gates (self-check)
Test plan includes scope, approach, risks, environments, entry/exit criteria, deliverables, and metrics.
Test cases are traceable, atomic, deterministic, and include clear oracles and data.
Automation is maintainable (stable locators, minimal flake, independent tests, clear assertions).
Regression is risk-based, tagged, and curated with clear add/remove rules.
Bug reports are reproducible, actionable, and contain evidence + environment + impact.
Static testing reviews are documented with findings tracked to resolution.
Estimates include contingency and are refined as scope clarifies.
Troubleshooting
Problem Cause Solution Test cases lack traceability Missing requirement IDs Add requirement_id column; link to user stories/ACs Bug reports get rejected Insufficient reproduction steps Use minimal steps; include exact data and environment Regression suite too slow Too many tests, no prioritization Apply risk-based selection; tier into smoke/sanity/full Flaky automated tests Unstable locators or timing Use data-testid; avoid sleeps; use Playwright auto-waits Test estimates are wrong Scope creep, missing risks Add contingency; re-estimate when scope changes Reviews find no defects Superficial review Use checklists; allocate sufficient time; rotate reviewers Unclear test oracles Missing expected results Define oracles from requirements, rules, or reference systems
Bundled Resources
Templates (templates/)
Template Purpose test-plan.mdISTQB-aligned test plan structure test-summary-report.mdEnd-of-cycle summary and sign-off test-cases.csvTest case repository with traceability test-conditions.mdTest conditions derived from test basis traceability-matrix.csvRequirements ↔ tests ↔ defects mapping bug-report.mdDetailed defect report bug-log.csvDefect tracking log regression-suite.mdSuite definition and selection rules exploratory-charter.mdSession-based exploratory testing playwright-spec.tsPlaywright test scaffold test-environment-checklist.mdEnvironment readiness verification risk-assessment-matrix.mdQuality risk identification and prioritization
References (references/)
Reference Content test-design-techniques.mdEP, BVA, decision tables, state transitions, use cases experience-based-techniques.mdError guessing, checklist-based, exploratory static-testing.mdReviews, walkthroughs, inspections test-levels-types.mdUnit, integration, system, acceptance; functional, non-functional test-estimation.mdEstimation techniques and factors test-monitoring-metrics.mdProgress tracking and quality metrics risk-based-testing.mdRisk identification, analysis, mitigation istqb-glossary.mdKey ISTQB terminology test-process-and-deliverables.mdTest process phases and outputs automation-playwright-best-practices.mdPlaywright implementation guidance regression-suite-strategy.mdSuite management and optimization bug-report-quality.mdEffective defect reporting defect-lifecycle.mdDefect states and workflow
Scripts (scripts/)
Script Purpose qa_artifacts.mjsCLI tool to generate QA artifacts from templates
Common Rationalizations
Common shortcuts and "good enough" excuses that erode test quality — and the reality behind each.
Rationalization Reality "ISTQB theory doesn't apply in practice" Equivalence partitioning and boundary value analysis directly reduce test count while maintaining coverage. "We don't need test plans for small projects" Even small projects benefit from structured testing. A lightweight test plan prevents scope creep. "Exploratory testing isn't real testing" Exploratory testing finds bugs that scripted tests never will. It's a disciplined technique, not ad-hoc clicking. "Risk-based testing means testing less" It means testing smarter — focusing effort where failure impact is highest, not testing everything equally. "Traceability matrices are bureaucratic overhead" They prove coverage, support audit readiness, and reveal gaps between requirements and tests. "Manual testing is obsolete" Manual testing catches usability, visual, and accessibility issues that automation misses entirely.
Verification
After completing this skill's workflow, confirm:
Test cases follow ISTQB structure — Each case has: ID, description, preconditions, steps, expected result, actual result
Coverage matrix maintained — Requirements mapped to test cases; no uncovered requirements
Priority levels assigned — Each test case has a priority (Critical, High, Medium, Low)
Positive and negative scenarios — Both valid and invalid inputs tested
Edge cases documented — Boundary values, empty inputs, and extreme values covered
Test data documented — Specific test data values listed, not just "valid data"
Traceability maintained — Each test case links to a requirement or user story