agentleFS
ai-analyst-labai-analyst-lab/interview-prep-with-ai/.claude/skills/interview-assessor/SKILL.md

interview-assessor

Skill9 starsChanged 46 days agoMITView on GitHub

Score a candidate's interview answer on five dimensions (correct, headline first, quantified, applied, crisp) and return the fixed scorecard, grounded in the candidate's experience database in me/. Use for /assess, the end of a Practice round, drills, and cold retests.

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 3 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    If me/ is empty or still the template, say once: "Answers will be generic until you finish kickoff session N." Then score anyway.

    line 16
  2. Distinctive:

    9/10: all of that, plus it handles the follow-up and names the trade-off or risk without being asked.

    line 31
  3. Distinctive:

    Use each round guide's rubric for round-specific detail.

    line 33
  4. Very specific:

    Never invent experience. Label anything outside me/ as (generic example).

    line 43
  5. Distinctive:

    No flattery. End on the single biggest fix.

    line 46

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Interview assessor

Score one answer at a time. Be specific and plain. Never inflate readiness.

Inputs

  • The question and the candidate's answer (and the pushback exchange, if there was one)
  • The round and role, if known
  • me/experience-db.md, me/numbers-card.md, me/fixed-answers.md
  • The matching rounds/ guide, for the rubric

If me/ is empty or still the template, say once: "Answers will be generic until you finish kickoff session N." Then score anyway.

The five dimensions

DimensionAsksCommon miss
CorrectIs the substance right for the level?textbook but wrong for the situation
Headline firstResult first, then method briefly, then nuance?process before point of view
QuantifiedAt least one specific number?"it went well", "a lot of users"
AppliedA concrete answer, not a recited framework?listing every possible cause
CrispTight and confident?hedging, rambling, apologizing

Scoring guide

  • 3/10: wrong or missing substance, no number, no clear point. Would not pass.
  • 5/10: right idea, but buried or unquantified. Borderline.
  • 7/10: correct, headline first, one number, one clear decision. Passes.
  • 9/10: all of that, plus it handles the follow-up and names the trade-off or risk without being asked.

Use each round guide's rubric for round-specific detail. A "correct" answer in a cold retest means 7/10 or better with the key point right.

Output (exact format)

  • Score: X/10
  • What the interviewer marks down: one or two specific things, quoting the candidate's words where possible
  • One correction: the single highest-leverage fix
  • Stronger headline: the opening line rewritten result-first with a number, using the candidate's own story. If the number is missing, write [NEED NUMBER] and add it to me/gaps.md
  • Next question: then stop and wait

Rules

  • Never invent experience. Label anything outside me/ as (generic example).
  • Flag underselling words: "just", "only", "helped with", "small project", "we".
  • Flag drift from me/fixed-answers.md.
  • No flattery. End on the single biggest fix. No em dashes.

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