About test-case-writing
test-case-writing is a skill for producing executable, traceable test cases from project context. It helps teams merge equivalent scenarios from multiple roles while preserving priorities, assumptions, and requirement links.
Key features
- 01Create prioritized, executable test scenarios
- 02Merge equivalent scenarios from multiple roles
- 03Retain source-role and requirement traceability
- 04Mark assumptions and information gaps
- 05Use requested formats and suitable templates
Use cases
- 01Draft test cases when project context is available
- 02Unify scenario candidates from several roles
- 03Prepare test output for review or execution
- 04Create cases in a requested document format
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ naodeng/ awesome-qa-skills --skill test-case-writingAfter installing, type/test-case-writingin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
output-formats.mdquick-start.mdREADME.mdagents/openai.yamlevals/eval.yamlevals/cases/basic-success.yamledge-incomplete-input.yamledge-risk-priority.yamledge-role-source-deduplication.yamlreview-role-merge-split-trace.yamlevals/graders/review-role-merge-split-trace.pyoutput-templates/template-csv.csvtemplate-excel.tsvtemplate-json.jsontemplate-markdown.mdtemplate-word.mdtemplate-xmind.mdprompts/test-case-writing.mdreferences/local/FAQ.mdscripts/batch_convert_templates.pyconvert_formats.pyconvert_output_formats.pyconvert_to_csv.pyconvert_to_excel.pyconvert_to_json.pyconvert_to_markdown.pyconvert_to_word.pyconvert_to_xmind.pyparse_csv.pyparse_excel.pyDetails
From the project READMETest Case Writing (English)
Chinese version: See the corresponding Chinese skill.
When to Use
- Need help with test case writing in a real project context.
- Need an output that can be used directly for execution, review, or follow-up.
- Need to merge scenario candidates from several roles into one traceable test suite without role-based duplication.
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, and optional role scenario candidates with
source_role. - Identify equivalent candidates by requirement trace, trigger, action, and observable outcome before generating one unified suite.
- 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.
- Do not generate suites per role. Equivalent candidates become one case that lists every contributing
source_role, requirement/acceptance trace, and risk tag. - Split cases only when differences in trigger, execution method, or observable outcome materially change execution; wording differences never justify duplicates.
Routing Boundary with the Plus Skill
- This Skill remains the lightweight/default authoring path. It can consume already-formed role scenario candidates and unify them with source and requirement traceability.
- Choose
testcase-writer-pluswhen the task requires conflict and provenance reconciliation across heterogeneous sources, a formal traceability matrix as a standalone deliverable, or higher coverage gates such as positive+negative+boundary coverage for high-risk paths plus data setup and cleanup. Do not switch merely for the base case fields orTracealready required here. Keep the two Skills independent; do not merge or rename them.
Progressive Disclosure
- Before producing output, read and follow
prompts/test-case-writing.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, case priority, preconditions, test data, steps, expected results, positive scenarios, negative scenarios,
source_role, and requirement traceability ... (details in main prompt) - Produced one unified suite; merged equivalent role candidates while retaining every contributing role
- 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 copy the same scenario into Product, QA, UI/UX, or Technical suites, and do not drop minority sources during a merge.
- Do not dump generic theory unrelated to the current toolchain.
Comments
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