test-scenarios
by phurynThe test-scenarios skill turns user stories into execution-ready test scenarios with objectives, starting conditions, user roles, steps, expected outcomes, and edge cases. Use it for QA test cases, acceptance testing, feature validation, and clearer test design when you need a structured test-scenarios guide.
This skill scores 68/100, which means it is listable but best presented with clear cautions. The repository gives users a credible, test-focused workflow for turning user stories into structured scenarios, so it can help agents do more than a generic prompt. However, it lacks support files, install guidance, and deeper operational examples, so directory users should expect a somewhat self-contained but modestly documented skill.
- Clear trigger and use cases for QA test cases, test plans, acceptance tests, and feature validation
- Concrete step-by-step process for objectives, starting conditions, roles, steps, outcomes, and edge cases
- Valid frontmatter and a non-placeholder body with structured scenario template content
- No scripts, references, resources, or install command, so adoption may require more manual interpretation
- Marked experimental/test-like naming and no repo/file references reduce trust in long-term maintainability
Overview of test-scenarios skill
The test-scenarios skill helps you turn a user story into execution-ready test scenarios for QA, acceptance testing, and feature validation. It is best for people who need more than a checklist: product managers, QA engineers, testers, and agents that must produce structured scenarios with objectives, starting conditions, roles, steps, expected outcomes, and edge cases. If you need a test-scenarios guide that reduces guesswork and makes a story testable fast, this skill is aimed at that job.
What it is good for
Use test-scenarios when the input is a user story with acceptance criteria and you want scenarios that can be executed by a human or used as the basis for test cases. It fits acceptance testing especially well because it forces the output to include preconditions, actions, and observable results rather than vague “should work” language.
Where it differs from a generic prompt
A plain prompt can summarize a story, but the test-scenarios skill is structured around test design: objective, setup, role, steps, expected outcome, and edge cases. That makes it more useful when you care about coverage, consistency, or handing results to QA without rewriting.
Best-fit users
This skill is a strong fit if you already have:
- a user story or feature description,
- acceptance criteria,
- enough context to define test data or system state,
- a need for repeatable test scenarios rather than exploratory notes.
How to Use test-scenarios skill
Install and trigger it
For the test-scenarios install step, use the package instructions shown in the directory, then invoke the skill with a focused story input. The repository example points to:
npx skills add phuryn/pm-skills --skill test-scenarios
To trigger the test-scenarios skill well, give it the product name, the user story, and any constraints that affect setup or expected results.
Build a strong prompt input
The test-scenarios usage pattern works best when you include details the skill can actually test against. A weak request is:
“Write test scenarios for login.”
A stronger request is:
“Create test scenarios for the login flow in Acme Admin. User story: as a returning user, I can sign in with email and password. Acceptance criteria: valid credentials redirect to the dashboard; invalid credentials show an error; locked accounts are blocked. Context: password reset is outside scope; SSO is not enabled.”
That extra context improves scenario quality because it clarifies scope, roles, and expected behavior.
Read these files first
For the fastest orientation, start with SKILL.md. In this repository there are no helper scripts, references, or support folders, so the skill file is the main source of truth. That means the key value is in the prompt structure and output format, not in secondary assets.
Workflow that gives better output
- Paste the user story and acceptance criteria.
- Add product, environment, or role constraints.
- Ask for scenarios that include normal flow, edge cases, and negative cases.
- If needed, ask for prioritization by risk or critical path.
- Review whether the scenarios are testable as written; if not, add missing setup details and rerun.
test-scenarios skill FAQ
Is test-scenarios only for QA teams?
No. It is useful for QA teams, but it also helps product, engineering, and AI agents that need acceptance testing artifacts. If your job is to make a feature testable, this skill is relevant.
When should I not use it?
Do not use test-scenarios if you only want a high-level summary, a release note, or a freeform critique. It is best when the output needs to become test cases or scenario-based validation.
Does it replace manual test design?
No. It speeds up the first draft of test scenarios, but you still need to verify business rules, environment constraints, and edge cases. Treat it as a structured starting point, not final QA authority.
Is it beginner friendly?
Yes, if you can provide a clear user story and acceptance criteria. Beginners usually get better results when they include the exact feature name, user role, and what “done” looks like.
How to Improve test-scenarios skill
Give the skill better source material
The biggest quality driver is the story itself. The test-scenarios skill performs best when you include:
- the user role,
- the exact feature behavior,
- explicit acceptance criteria,
- setup constraints,
- and any known failure conditions.
If the story is vague, the scenarios will be vague too.
Ask for the scenario shape you need
If you need test-scenarios for Acceptance Testing, say so and specify the level of detail. For example: “Generate 5 acceptance-test scenarios with one positive flow, two validation failures, and two boundary cases.” That helps the output stay actionable instead of generic.
Watch for common failure modes
The most common problems are missing preconditions, weak expected outcomes, and scenarios that duplicate the same path with different wording. If that happens, tighten the input and ask the skill to separate happy path, invalid input, permissions, and state changes.
Iterate from the first draft
After the first output, improve it by adding missing context such as device type, browser, roles, data states, or system integrations. Then ask for a revised test-scenarios guide output that reflects the new constraints. This usually improves precision more than asking for “more detail” alone.
