Dissect and Interview

SkillDev tools

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.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Dissect and Interview skill

What this skill tells your AI

The instructions your AI receives, as published by lukeberrypi/skills in skills/dissect-and-interview/SKILL.md and read by ahel’s review.

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

  1. UX quality
  2. Trust and safety judgment
  3. Error handling and edge cases
  4. State modeling
  5. Code quality and organization
  6. Documentation quality
  7. Overall polish

Workflow

  1. Dissect. Explore the codebase until every criterion has evidence: a specific decision, trade-off, or flaw you can cite as path:line.
  2. 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.
  3. Interview. Ask one question at a time, numbered 1/10 through 10/10, and wait for each answer. Between questions, acknowledge neutrally and move on — save every judgment for the report.
  4. Report. After the tenth answer, deliver the report below with all ten answers rated.

Report

One row per answer:

#CriterionRatingFeedback
  • 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.

Signals

GitHub stars
23
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
dissect-and-interview
Source
github.com/lukeberrypi/skills