Verifies implemented software features against original product requirement documents.
npx skills add https://github.com/s0613/S-skills --skill sj-qa
Please help me install this Agent Skill. Skill: sj-qa Source: https://github.com/s0613/S-skills/tree/main/skills/sj-qa Command: npx skills add https://github.com/s0613/S-skills --skill sj-qa
Traditional QA processes in AI-driven development workflows often rely on biased developer self-assessments, leading to missed defects and inconsistent validation of implemented features against original requirements. This Skill eliminates that gap by enabling fully independent verification that only references original requirement documents and actual changed files, excluding developer self-evaluations to ensure unbiased results.
Invoke the sj-qa skill to run an independent verification of the recently implemented user authentication feature against the original product requirement brief and receive an unbiased PASS/FAIL/CONDITIONAL verdict.
High-intent search queries and answers about installing and using this skill.
Independent QA verification eliminates developer self-assessment bias by exclusively referencing original product requirement documents and actual changed files to generate standardized PASS, FAIL, or CONDITIONAL verdicts.
Canary monitoring is a post-deployment feature testing process that checks production status and benchmarks Core Web Vitals performance to ensure newly implemented software features operate correctly under real-world conditions.
Unbiased verdict generation in AI-driven development workflows works by applying Judge independence principles, excluding developer self-summaries, and storing standardized PASS, FAIL, or CONDITIONAL judgments in project state files.
You can benchmark Core Web Vitals and load time performance after deploying a feature by using canary mode, which measures production status and accumulates learned verification points in a persistent QA context file.
Independent feature testing works without developer self-evaluations by strictly analyzing original PM briefs and actual changed files, ensuring unbiased quality assurance and accurate defect detection for implemented features.
tuannvmOrchestrates specialized AI agents to convert PRDs into technical specifications and code.
shogo-labsMonitor live web app health via console errors, performance, and page failures.
DeL-TaiseiOzakiExtract conversation decisions and update DESIGN.md Markdown sections with a dated changelog entry.
Aurora-AIApply neurodesign principles to financial user experiences for trust and decision-making.
