Agent skill

Interview System Designer

by borghei in borghei/Claude-Skills

Design calibrated interview loops, competency-based question banks, and hiring calibration.

MITAuto-check passedEducation

Install Interview System Designer

skills CLI
$ npx skills add borghei/Claude-Skills --skill interview-system-designer -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install borghei/Claude-Skills interview-system-designer --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering/interview-system-designer .claude/skills/interview-system-designer && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
interview-system-designer
GitHub stars
874
Token cost
~1.7k tokens
SKILL.md length
687 words
Files
16 (incl. references, assets)
Skills in repo
364
Repo updated
First seen
Licence
MIT

At a glance

Design calibrated interview loops, competency-based question banks, and hiring calibration.

  • Designing interview processes
  • SKILL.md covers Core Capabilities, When to Use, Clarify First and Tools, plus 3 more sections
  • Runs Python scripts from its folder; calls python
  • Creating hiring pipelines

What it does

Interview System Designer is an agent skill from borghei/Claude-Skills. Design calibrated interview loops, competency-based question banks, and hiring calibration. Use when designing interview processes, creating hiring pipelines, generating scoring rubrics, analyzing interviewer bias, or building question banks.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 18 other files, including reference files and assets (for example `README.md`, `assets/sample_interview_results.json` and `assets/sample_role_definitions.json`).

It sits in Education, covering Quizzes and assessments and Performance reviews. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.

When your agent uses it

  • Designing interview processes
  • Creating hiring pipelines
  • Generating scoring rubrics
  • Analyzing interviewer bias

Example prompts

  • “/interview-system-designer”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit c9a1487. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships script files (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Interview System Designer loads about 1.7k tokens when it runs, and up to ~17k if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 687 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~17k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from borghei/Claude-Skills at commit c9a1487, republished under its MIT licence (© borghei). 687 words, ~1,718 tokens.

Download SKILL.mdSave it as .claude/skills/interview-system-designer/SKILL.md (or your agent's skills folder). This skill also uses 15 other files; get the full folder from GitHub.
name
interview-system-designer
description
Design calibrated interview loops, competency-based question banks, and hiring calibration. Use when designing interview processes, creating hiring pipelines, generating scoring rubrics, analyzing interviewer bias, or building question banks.
license
MIT + Commons Clause
metadata.version
1.1.0
metadata.author
borghei
metadata.category
engineering
metadata.updated
2026-06-17

Interview System Designer

Design role-specific interview loops, generate competency-based question banks with scoring rubrics, and detect interviewer bias through statistical calibration analysis.

Core Capabilities

  • Interview loop design — role/level/team-specific loops with rounds, time allocations, interviewer skill requirements, and scorecard templates.
  • Question bank generation — competency-based questions with 1-4 scoring rubrics, follow-up probes, and poor/good/great calibration examples.
  • Hiring calibration — statistical bias and drift detection across interviewers and time periods, with coaching recommendations.
  • Scoring & benchmarks — 4-point rubric, target score distribution (20/40/30/10), interviewer-consistency and pass-rate benchmarks.
  • Loop templates — junior/senior/staff+ engineering loops plus sample questions by level and STAR behavioral prompts.
  • Bias guardrails — anti-pattern catalog (halo effect, similarity bias, unstandardized loops) and mitigation practices.

When to Use

  • Designing an interview process or end-to-end hiring pipeline for any seniority level.
  • Building a competency-based question bank with scoring rubrics.
  • Generating scorecards, debrief guides, or interviewer assignments.
  • Analyzing interviewer bias or calibration drift across candidates and time.

Clarify First

Before designing, confirm these inputs. If any is unknown or vague, ASK — do not assume:

  • Task — design an interview loop, generate a question bank, or calibrate hiring (selects loop_designer.py vs question_bank_generator.py vs hiring_calibrator.py)
  • Role & level — the role and seniority (junior/senior/staff+) (drives loop rounds, time allocation, and rubric calibration via --role/--level)
  • Competencies — which competencies the loop or questions must cover (sets --competencies and the question-bank scope)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Tools

The Python tools live at the skill root (not in scripts/). All support --help, JSON/text output.

ToolPurposeCommand
loop_designer.pyGenerate a calibrated interview loop (rounds, time, scorecards)python loop_designer.py --role "Senior Software Engineer" --level senior --team platform --output loops/
question_bank_generator.pyGenerate competency-based questions with rubrics + calibration examplespython question_bank_generator.py --role "Frontend Engineer" --competencies react,typescript,system-design --num-questions 30
hiring_calibrator.pyDetect bias/calibration drift across interviewers and periodspython hiring_calibrator.py --input interview_data.json --analysis-type comprehensive --trend-analysis

References

Load the reference that matches the task — keep this file lean and pull detail on demand:

  • references/workflows-and-templates.md — quick start, the 3 core workflows (design loop / generate bank / calibrate bar) with validation checkpoints, engineering loop templates, sample questions, the scoring rubric + calibration benchmarks, and the anti-pattern list. Read when designing a loop or applying the rubric.
  • references/tool-reference.md — full flag tables, examples, and output formats for all three tools, plus a troubleshooting table and the success-criteria bar. Read when invoking the tools or debugging output.
  • references/competency_matrix_templates.md — competency matrix templates per role family and level. Read when defining the competencies a loop must cover.
  • references/debrief_facilitation_guide.md — structured debrief facilitation guide. Read when running the post-loop debrief and consolidating scores.
  • references/bias_mitigation_checklist.md — interview bias mitigation checklist. Read when reviewing a loop or panel for fairness.
Show full SKILL.md (240 more words)Show less

Scope & Limitations

This skill covers:

  • Designing end-to-end interview loops for engineering, product, design, and data roles across all seniority levels (junior through principal)
  • Generating competency-based question banks with structured scoring rubrics and calibration examples
  • Detecting statistical bias and calibration drift across interviewers and time periods
  • Producing scorecard templates, debrief guides, and interviewer assignment recommendations

This skill does NOT cover:

  • Applicant tracking system (ATS) integration, job posting, or candidate sourcing pipeline management — see hr-operations/talent-acquisition
  • Compensation benchmarking, offer negotiation strategy, or total rewards analysis — see hr-operations/hr-business-partner
  • Workforce planning, headcount modeling, or organizational design — see hr-operations/people-analytics
  • Post-hire onboarding program design or new-hire ramp-up tracking — see engineering/codebase-onboarding

Integration Points

SkillIntegrationData Flow
hr-operations/talent-acquisitionFeed designed interview loops and scorecards into the talent acquisition pipeline for end-to-end hiring executionLoop JSON output → talent acquisition workflow input
hr-operations/people-analyticsSupply calibration reports and interviewer performance data for workforce-level hiring analyticsCalibrator JSON reports → people analytics dashboards
engineering/codebase-onboardingHand off hired candidate profiles and assessed competency gaps to onboarding plan generationScorecard results → onboarding skill-gap inputs
hr-operations/hr-business-partnerProvide interview quality metrics and pass-rate data to support hiring bar discussions with HR leadershipCalibration trend data → HRBP quarterly reviews
product-teamAlign PM interview loop competencies with the product team's competency frameworks and role leveling guidesCompetency matrix → PM loop designer --competencies input
engineering/pr-review-expertUse coding round evaluation criteria to inform code review standards for new hires during their ramp periodScoring rubric technical criteria → PR review checklist alignment

© borghei, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 15 other files (references, assets) in engineering/interview-system-designer of borghei/Claude-Skills.

  • SKILL.md
  • README.md
  • assets/sample_interview_results.json
  • assets/sample_role_definitions.json
  • expected_outputs/product_manager_senior_questions.json
  • expected_outputs/product_manager_senior_questions.txt
  • expected_outputs/senior_software_engineer_senior_interview_loop.json
  • expected_outputs/senior_software_engineer_senior_interview_loop.txt
  • hiring_calibrator.py
  • loop_designer.py
  • question_bank_generator.py
  • references/bias_mitigation_checklist.md
  • references/competency_matrix_templates.md
  • references/debrief_facilitation_guide.md
  • references/tool-reference.md
  • references/workflows-and-templates.md

Open the folder on GitHubat commit c9a1487

Compare with similar skills

Interview System Designer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Interview System Designer compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Interview System Designer this skillborghei/Claude-Skills874—~1.7kAutomated safety check: PassMIT
Scoringxiaolai/nlpm145—~5.3kAutomated safety check: PassISC
Design AI BenchmarkingAperivue/medsci-skills329—~2.4kAutomated safety check: PassMIT
Evaluator CalibrationArchive228/loopkit755—~1.1kAutomated safety check: PassMIT
Advanced Evaluationguanyang/open-agent-hub9732 repos~4.2kAutomated safety check: PassMIT
DeepTutor CLIHKUDS/DeepTutor41k—~2.3kAutomated safety check: PassApache-2.0

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Categories

Questions about Interview System Designer

What does Interview System Designer do?

Design calibrated interview loops, competency-based question banks, and hiring calibration. Interview System Designer is an agent skill from borghei/Claude-Skills. Design calibrated interview loops, competency-based question banks, and hiring calibration.

When should I use Interview System Designer?

Interview System Designer fits situations like: designing interview processes; creating hiring pipelines; generating scoring rubrics; analyzing interviewer bias.

How do I install Interview System Designer in Claude Code?

Run `npx skills add borghei/Claude-Skills --skill interview-system-designer -a claude-code`. Or copy the skill folder (engineering/interview-system-designer in borghei/Claude-Skills) into .claude/skills/interview-system-designer in your project. Claude Code loads it when a task matches its description.

How do I install Interview System Designer in Codex?

Run `npx skills add borghei/Claude-Skills --skill interview-system-designer -a codex`. Or copy the skill folder (engineering/interview-system-designer in borghei/Claude-Skills) into .agents/skills/interview-system-designer in your project. Codex loads it when a task matches its description.

Can I use Interview System Designer in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add borghei/Claude-Skills --skill interview-system-designer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/interview-system-designer, .gemini/skills/interview-system-designer, .github/skills/interview-system-designer and .opencode/skills/interview-system-designer in your project.

What does Interview System Designer need to run?

Going by SKILL.md and its folder, Interview System Designer needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Interview System Designer access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Interview System Designer safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Interview System Designer use?

Interview System Designer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Interview System Designer use?

About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 15k tokens, read only when the agent opens those files.

What are the alternatives to Interview System Designer?

Skills that share tags, products or a category with Interview System Designer: Scoring (xiaolai/nlpm, 145 stars), Design AI Benchmarking (Aperivue/medsci-skills, 329 stars), Evaluator Calibration (Archive228/loopkit, 755 stars) and Advanced Evaluation (guanyang/open-agent-hub, 973 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Interview System Designer?

borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 874 GitHub stars. The repository holds 364 skills in this directory. The repository was last updated on October 7, 2026.

Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.