Functional Testing
When to Use
- Need help with functional testing in a real project context.
- Need an output that can be used directly for execution, review, or follow-up.
Workflow
- Read and follow the main prompt listed under Progressive disclosure (coverage, structure, quality bar).
- Add only project context that changes the result: scope, environment, constraints, risks, dependencies, expected deliverable.
- If input is incomplete, return a usable first draft and explicitly mark assumptions and gaps.
- Default to Markdown; switch formats only when the user asks.
Core Constraints
- Prioritize by risk / business impact — do not treat everything equally.
- Separate confirmed facts from current assumptions.
- Do not invent endpoints, fields, environments, or root causes the user did not provide.
- Keep output executable: concrete scenarios, clear priority, clear next steps.
Progressive Disclosure
- Before producing output, read and follow
prompts/functional-testing.md(minimum coverage, output structure, quality bar). - When Excel/CSV/JSON/Word is requested: read
output-formats.mdand honor the format. - When a ready-made template fits: use matching files under
output-templates/. - For deep framework/troubleshoot/schema notes: read only the relevant file(s) under
references/, do not load the whole directory. - For format conversion or helper checks: prefer existing
scripts/over reinventing. - For evaluating/regressing this skill: use
evals/with skill-up.
Pre-delivery Checklist
- Followed the main prompt's output structure
- Minimum coverage focus: scope, core flows, positive scenarios, negative scenarios, boundary scenarios, role or permission differences, data conditions, integration points, ... (details in main prompt)
- Covered the minimum checklist, or explained omissions
- High-risk items have explicit priority
- Did not invent details the user did not provide
- Assumptions and gaps are marked
Common Pitfalls
- Do not pretend completeness when scope/context is missing.
- Do not treat every item as equally important.
- Do not skip assumptions and information gaps.
- Do not dump generic theory unrelated to the current toolchain.
---
name: functional-testing
description: Use this skill when you need to design functional test plans or cases for business flows, UI, data, and integrations; triggers include functional testing and functional test cases.
---
# Functional Testing (English)
**中文版:** See the corresponding Chinese skill.
## When to Use
- Need help with functional testing in a real project context.
- Need an output that can be used directly for execution, review, or follow-up.
## Workflow
1. Read and follow the main prompt listed under Progressive disclosure (coverage, structure, quality bar).
2. Add only project context that changes the result: scope, environment, constraints, risks, dependencies, expected deliverable.
3. If input is incomplete, return a usable first draft and explicitly mark assumptions and gaps.
4. Default to Markdown; switch formats only when the user asks.
## Core Constraints
- Prioritize by risk / business impact — do not treat everything equally.
- Separate confirmed facts from current assumptions.
- Do not invent endpoints, fields, environments, or root causes the user did not provide.
- Keep output executable: concrete scenarios, clear priority, clear next steps.
## Progressive Disclosure
- Before producing output, read and follow `prompts/functional-testing.md` (minimum coverage, output structure, quality bar).
- When Excel/CSV/JSON/Word is requested: read `output-formats.md` and honor the format.
- When a ready-made template fits: use matching files under `output-templates/`.
- For deep framework/troubleshoot/schema notes: read only the relevant file(s) under `references/`, do not load the whole directory.
- For format conversion or helper checks: prefer existing `scripts/` over reinventing.
- For evaluating/regressing this skill: use `evals/` with skill-up.
## Pre-delivery Checklist
- [ ] Followed the main prompt's output structure
- [ ] Minimum coverage focus: scope, core flows, positive scenarios, negative scenarios, boundary scenarios, role or permission differences, data conditions, integration points, ... (details in main prompt)
- [ ] Covered the minimum checklist, or explained omissions
- [ ] High-risk items have explicit priority
- [ ] Did not invent details the user did not provide
- [ ] Assumptions and gaps are marked
## Common Pitfalls
- Do not pretend completeness when scope/context is missing.
- Do not treat every item as equally important.
- Do not skip assumptions and information gaps.
- Do not dump generic theory unrelated to the current toolchain. Install & call
Platform
AI Tool
Quick install (one line)
… Full script
… Call example
@skill functional-testing
Using the current project context, produce an actionable result following this skill.