api-testing
Use this skill when you need to design API test plans or cases for REST, GraphQL, or gRPC interfaces; triggers include API testing and API test cases.
Best use case
api-testing is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use this skill when you need to design API test plans or cases for REST, GraphQL, or gRPC interfaces; triggers include API testing and API test cases.
Teams using api-testing should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/api-testing/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How api-testing Compares
| Feature / Agent | api-testing | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use this skill when you need to design API test plans or cases for REST, GraphQL, or gRPC interfaces; triggers include API testing and API test cases.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# API Testing (English) **中文版：** 见对应中文技能。 ## When to Use - Need an API test plan, API cases, or API risk analysis. - The request involves REST, GraphQL, SOAP, gRPC, WebSocket, or mixed API behavior. ## Output Format Options Markdown by default. If you need Excel, CSV, JSON, Word, or other supported formats, append the format request at the end and check [output-formats.md](output-formats.md). ## How to Use 1. Open `prompts/api-testing.md` and use it as the main prompt. 2. Add the real project context: scope, environment, constraints, risks, dependencies, and expected deliverable. 3. If the input is incomplete, return a usable first version and mark missing information and assumptions. ## Reference Files - `prompts/api-testing.md`: main prompt for this skill. - `output-formats.md`: optional output format instructions. - `references/`: supporting notes loaded only when needed. - `scripts/`: helper scripts or converters for this skill. ## Common Pitfalls - Do not use it with vague scope and no context. - Do not treat every area as equally important. - Do not skip assumptions and missing information. ## Best Practices - Start from the prompt file, then add only the context that matters. - Keep the output risk-driven and executable. - If the request is incomplete, return a usable first version and mark gaps.