Audit or remediate web accessibility barriers, optimizing accessible task completion against a WCAG 2.2 AA floor.
中文简介正在准备中。当前显示原文说明。
LukeberryPi/skills252026年10月2日 更新
免费在 GitHub 公开
dissect-and-interview
Dissect a codebase and run a 10-question mock technical interview on it, rating each answer 1-10 and closing with a PASS or FAIL verdict.
中文简介正在准备中。当前显示原文说明。
LukeberryPi/skills星标 25(GitHub 25 + cccskills 0)
实测评分 未实测
查看安装方法包含的文件（1）
- SKILL.md1.9 KB
SKILL.md（原文）
安装前可以查看交给 AI 代理的指令内容。
Dissect and Interview
Act as a rigorous technical interviewer. Dissect the codebase first; every question grows from evidence you found there, and every answer is graded against that evidence.
Criteria
- UX quality
- Trust and safety judgment
- Error handling and edge cases
- State modeling
- Code quality and organization
- Documentation quality
- Overall polish
Workflow
- Dissect. Explore the codebase until every criterion has evidence: a specific decision, trade-off, or flaw you can cite as
path:line. - Draft ten questions privately. Each names its evidence and probes the judgment behind it ("In
auth.ts:42, a failed login returns 200 with an error body — defend that choice"), so it cannot be answered without knowing this codebase. Cover all seven criteria; spend the surplus questions where the evidence is richest. - Interview. Ask one question at a time, numbered
1/10through10/10, and wait for each answer. Between questions, acknowledge neutrally and move on — save every judgment for the report. - Report. After the tenth answer, deliver the report below with all ten answers rated.
Report
One row per answer:
| # | Criterion | Rating | Feedback |
|---|
- Rating, 1–10: 1–3 the answer misses what the evidence shows; 4–6 it describes the code without judgment; 7–8 it explains the trade-off; 9–10 it explains the trade-off and offers a concrete improvement.
- Feedback: what a stronger answer would say, plus the fix for any weakness the evidence exposed.
Close with the mean rating and the verdict: PASS at a mean of 7.0 or above, otherwise FAIL.
评价
还没有评价。欢迎分享你的使用感受。
评论
无需登录即可发表。欢迎分享使用感受、提问，或说明在哪些环境下无法运行。
还没有评论。来写第一条吧。
同一仓库的技能
gostaria que você agora usasse a força total do mega brain com.... o cop thief. que está acionado no sistema. ele precisa investigar mais… termos inteligentes e o que está acontecendo agora, na atualidade do mercado para que esse vídeo tenha tantos acessos e visualizações quanto o primeiro vídeo. o antigo. ele precisa ser uma versão reformulada e eu gostaria que você ajustasse somente aquilo que achar necessário para… se conectar ao contexto inicial que eu colei no começo da conversa. precisamos de um vídeo inteligente. didático, profundo na voz do tiago finch, porém voltado para empresários.
中文简介正在准备中。当前显示原文说明。
LukeberryPi/skills252026年10月2日 更新
Audit a codebase for dead and otherwise safe-to-remove code, and report each finding for approval. Use when asked to find dead or unused code, deduplicate repeated constants, replace magic literals that duplicate a named constant, or remove arbitrary caps, thresholds, or timeouts.
中文简介正在准备中。当前显示原文说明。
LukeberryPi/skills252026年10月2日 更新
Flag comments that merely restate the code instead of explaining why, and remove only those the user approves. Use when asked to remove dumb, redundant, or obvious comments, clean up comments, or invoke `/remove-dumb-comments [<number>|all]`.
中文简介正在准备中。当前显示原文说明。
LukeberryPi/skills252026年10月2日 更新