Why skills, not just prompts
Prompts live in people's heads and chat histories. Skills live in your repository or organisation, are versioned like code, and are picked up automatically when the task matches. That makes good QA practice repeatable across the whole team.
Skills can also bundle scripts and reference files, so Claude doesn't just know your rules, it can run your linters, read your templates and follow your exact output format.
Skills we build
Test case design
Boundary values, decision tables and risk-based prioritisation in your format.
Ticket to automation
From a Jira or ClickUp ticket to cases, then to Playwright or Selenium code.
Locator fetch
Robust locators from a live page or saved HTML, written as page-object fields.
Flaky test analysis
Reproduce, classify the cause and prove the fix with repeated runs.
Bug report writer
Raw notes into reports with environment, steps, evidence and severity.
Test plans & strategy
Lean test plans with scope, risks, entry and exit criteria.
How we build them
- Interview your best testers: We capture how your strongest people actually do the work.
- Write and test the skill: Each skill is run against real tickets and refined until the output is right.
- Add scripts where useful: Linters, file checks and helpers that make results verifiable.
- Evaluate: A small set of test prompts confirms the skill triggers and performs reliably.
- Roll out and maintain: Skills shared with the team and updated as your framework evolves.
What you get
- A skill library: Versioned skills in your repo or organisation, documented and ready to use.
- Evaluation suite: Test prompts that show each skill still works after changes.
- Team training: A short session on using, improving and adding skills.
- Optional upkeep: A light retainer to keep skills in step with your tools.
Where it fits
Claude skills work best on top of a clear automation framework and test process. We can document or build those first, then package them as skills. Related: QA automation, Claude-assisted testing and our AI in QA blog.