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qa
Run OpenBurnBar functional QA and write qa-results/report.md plus supporting artifacts.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Run OpenBurnBar functional QA and write qa-results/report.md plus supporting artifacts.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | qa |
| description | Run OpenBurnBar functional QA and write qa-results/report.md plus supporting artifacts. |
Use this skill when asked to run functional QA for OpenBurnBar, including CI
prompts that say to write the final report to qa-results/report.md.
This skill must run without asking the user anything. In CI there is no human available, so do not use AskUser, do not pause for confirmation, and do not invent pass/fail rows.
From the repository root, run exactly:
bash tools/qa/run-functional-qa.sh
The script is the source of truth for:
qa-results/report.mdqa-results/logs/qa-results/environment-probe.txtIf the script exits non-zero, report that QA failed and point to
qa-results/report.md plus the relevant log under qa-results/logs/.
If it exits zero, report that functional QA passed and point to
qa-results/report.md.
Implement a bounded OpenBurnBar Windows parity milestone from reviewed VAL contracts with main-app composition, focused tests, baseline discipline, and Windows-host evidence preparation.
Runs a long-running mission using the Zenith continuous-improvement harness to dynamically orchestrate workers, testing, and stopping discipline.
Design consultation: understands your product, researches the landscape, proposes a complete design system (aesthetic, typography, color, layout, spacing, motion), and generates font+color preview pages. Creates DESIGN.md as your project's design source of truth. For existing sites, use /plan-design-review to infer the system instead. Use when asked to "design system", "brand guidelines", or "create DESIGN.md".
Use when asked about AI-agent spend, token usage, session history, workflow patterns, or cost investigations. Grounds all answers in OpenBurnBar/BurnBar local data via prompt context and MCP tools.
Design finalization: generates production-quality Pretext-native HTML/CSS. Works with approved mockups from /design-shotgun, CEO plans from /plan-ceo-review, design review context from /plan-design-review, or from scratch with a user description. Text actually reflows, heights are computed, layouts are dynamic. 30KB overhead, zero deps. Smart API routing: picks the right Pretext patterns for each design type. Use when: "finalize this design", "turn this into HTML", "build me a page", "implement this design", or after any planning skill. Proactively suggest when user has approved a design or has a plan ready. (gstack) Voice triggers (speech-to-text aliases): "build the design", "code the mockup", "make it real".
Designer's eye QA: finds visual inconsistency, spacing issues, hierarchy problems, AI slop patterns, and slow interactions — then fixes them. Iteratively fixes issues in source code, committing each fix atomically and re-verifying with before/after screenshots. For plan-mode design review (before implementation), use /plan-design-review. Use when asked to "audit the design", "visual QA", "check if it looks good", or "design polish". Proactively suggest when the user mentions visual inconsistencies or wants to polish the look of a live site. (gstack)