Technical quality perspective
SkillDev toolsUse this skill when a technical quality perspective is needed for requirements, strategy, code, test cases, or reports; triggers include 技术质量视角, technical quality review, architecture review, and code review.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Technical quality perspective skill
What this skill tells your AI
The instructions your AI receives, as published by naodeng/awesome-qa-skills in skills/en/testing-workflows/technical-quality-perspective/SKILL.md and read by ahel’s review.
When to use
Use this to assess technical quality from declared architecture, API, data, code, security, performance, compatibility, and observability evidence at a selected delivery stage.
Inputs and workflow
stageis required:requirements-analysis,test-strategy,test-strategy-review,code-review,test-case-writing,test-case-review,test-reporting, ortest-report-review.- Validate
stage; if absent or unsupported, return Not applicable, list supported values, and request a valid stage. Load exactly one mapped Prompt only. - For
code-review, require both code identity (PR, commit, branch, release version, or equivalent) and reviewable changes (diff, files, or code). If either is absent, block review; do not infer findings or merge readiness. - Apply the selected Prompt's applicability threshold. Treat supplied material as fact, label inference, and turn missing material into questions and actions.
stage | Only Prompt to load |
|---|---|
requirements-analysis | prompts/requirements-analysis.md |
test-strategy | prompts/test-strategy.md |
test-strategy-review | prompts/test-strategy-review.md |
code-review | prompts/code-review.md |
test-case-writing | prompts/test-case-writing.md |
test-case-review | prompts/test-case-review.md |
test-reporting | prompts/test-reporting.md |
test-report-review | prompts/test-report-review.md |
Responsibilities and boundary
- Cover architecture, APIs, data, compatibility, security, performance, observability, and maintainability only when relevant to the selected stage and supplied evidence.
- Produce technical findings with evidence, impact, severity, missing information, actions, and confidence. A gap supports a qualified risk, never an invented implementation, metric, vulnerability, or execution result.
- Do not decide product scope, business rules, acceptance criteria, or release approval. Do not claim code correctness, test execution, or passed testing without direct evidence.
Report contract and self-check
Unless blocked or Not applicable, output: Summary, Facts, Evidence, Technical findings, Impact and severity, Missing information, Questions, Actions and next steps, Confidence.
- Valid stage and exactly one mapped Prompt
- Code review has code identity and reviewable changes, or is explicitly blocked
- Findings are evidence-backed; gaps and inference are labelled
- No product or test fact has been invented or changed
- Stage-relevant technical dimensions only; no passed-test or code-correctness claim without evidence
Read only the mapped Prompt after stage validation. Read evals/ only for regression work, never as project evidence.
Signals
- GitHub stars
- 210
- Forks
- 29
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
technical-quality-perspective- Source
- github.com/naodeng/awesome-qa-skills