Agent skill

Interview System Designer

by alirezarezvani in alirezarezvani/claude-skills

Plans role-based interview loops, question sets, scoring rubrics and calibration checks, with bundled Python scripts and bias-reduction checklists for hiring teams.

MITAuto-check passedBusiness, Finance & HR

Install Interview System Designer

skills CLI
$ npx skills add alirezarezvani/claude-skills --skill interview-system-designer -a claude-code

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

GitHub CLI
$ gh skill install alirezarezvani/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/alirezarezvani/claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/engineering/skills/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
28k
Used in
1 other repo
Token cost
~568 tokens
SKILL.md length
170 words
Files
16 (incl. scripts, references, assets)
Skills in repo
342
Repo updated
First seen
Licence
MIT

At a glance

Plans role-based interview loops, question sets, scoring rubrics and calibration checks, with bundled Python scripts and bias-reduction checklists for hiring teams.

  • Works in 5 steps: Run scripts/interview_planner.py to… → Align rounds to role-specific… → Validate scoring rubric consistency with… → …
  • Designing an interview loop for a specific role and level
  • SKILL.md covers Overview, Core Capabilities, Quick Start and Recommended Workflow, plus 3 more sections
  • Runs Python scripts from its folder; calls python3

What it does

The skill supports building structured interviews and keeping hiring signal consistent across interviewers. Its core capabilities are loop planning by role and level, round-by-round focus and timing, question sets by round type, scoring and calibration frameworks, and guidance on reducing bias. A quick start runs scripts/interview_planner.py with a role and a level, and other bundled scripts include loop_designer.py, question_bank_generator.py and hiring_calibrator.py.

The recommended workflow is to generate a baseline loop, align the rounds to role competencies, check rubric consistency with panel leads, review bias controls before rollout and recalibrate each quarter with hiring outcomes. Reference files cover interview frameworks, a bias mitigation checklist, competency matrix templates and debrief facilitation, and sample inputs and expected outputs show a senior software engineer loop and senior product manager questions. Pitfalls include overweighting one round and skipping calibration.

When your agent uses it

  • Designing an interview loop for a specific role and level
  • Building a question bank and scoring rubric for a hiring round
  • Calibrating interviewers so their scores are consistent
  • Reviewing a hiring process for bias before rollout

Example prompts

  • “Plan an interview loop for a Senior Software Engineer with timing for each round.”
  • “Generate a question bank for a senior product manager role with scoring rubrics.”
  • “Review our current interview process against the bias mitigation checklist.”
  • “Create a competency matrix for backend engineers and a debrief agenda.”

Requirements

  • Python 3 to run the bundled scripts

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Run scripts/interview_planner.py to generate a baseline loop.
  2. Align rounds to role-specific competencies.
  3. Validate scoring rubric consistency with interview panel leads.
  4. Review for bias controls before rollout.
  5. Recalibrate quarterly using hiring outcome data.

What it can do on your machine

Read from SKILL.md and the folder at commit 19392f7. 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 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    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 568 tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 109 tokens; SKILL.md has 170 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~109
When it runs · the whole SKILL.md, loaded when a task matches
~568
With references · SKILL.md plus every file in references/, read only if the agent opens them
~13k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from alirezarezvani/claude-skills at commit 19392f7, republished under its MIT licence (© alirezarezvani). 170 words, ~568 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
This skill should be used when the user asks to "design interview processes", "create hiring pipelines", "calibrate interview loops", "generate interview questions", "design competency matrices", "analyze interviewer bias", "create scoring rubrics", "build question banks", or "optimize hiring systems". Use for designing role-specific interview loops, competency assessments, and hiring calibration systems.

Interview System Designer

Comprehensive interview loop planning and calibration support for role-based hiring systems.

Overview

Use this skill to create structured interview loops, standardize question quality, and keep hiring signal consistent across interviewers.

Core Capabilities

  • Interview loop planning by role and level
  • Round-by-round focus and timing recommendations
  • Suggested question sets by round type
  • Framework support for scoring and calibration
  • Bias-reduction and process consistency guidance

Quick Start

bash
# Generate a loop plan for a role and level
python3 scripts/interview_planner.py --role "Senior Software Engineer" --level senior

# JSON output for integration with internal tooling
python3 scripts/interview_planner.py --role "Product Manager" --level mid --json
  1. Run scripts/interview_planner.py to generate a baseline loop.
  2. Align rounds to role-specific competencies.
  3. Validate scoring rubric consistency with interview panel leads.
  4. Review for bias controls before rollout.
  5. Recalibrate quarterly using hiring outcome data.

References

  • references/interview-frameworks.md
  • references/bias_mitigation_checklist.md
  • references/competency_matrix_templates.md
  • references/debrief_facilitation_guide.md

Common Pitfalls

  • Overweighting one round while ignoring other competency signals
  • Using unstructured interviews without standardized scoring
  • Skipping calibration sessions for interviewers
  • Changing hiring bar without documenting rationale

Best Practices

  1. Keep round objectives explicit and non-overlapping.
  2. Require evidence for each score recommendation.
  3. Use the same baseline rubric across comparable roles.
  4. Revisit loop design based on quality-of-hire outcomes.

© alirezarezvani, 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 (scripts, references, assets) in engineering/skills/interview-system-designer of alirezarezvani/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/interview-frameworks.md
  • scripts/interview_planner.py

Open the folder on GitHubat commit 19392f7

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in alirezarezvani/claude-skills, which our catalogue first saw on October 7, 2026.

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 skillalirezarezvani/claude-skills28k1 repos~568Automated safety check: PassMIT
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Itr Walakaranb192/itr-wala871—~3.6kAutomated safety check: PassMIT
Tushare Datazillionare/zillionare3192 repos~2.3kAutomated safety check: PassNone
China Market Open Data SearchOpenSenseNova/SenseNova-Skills5.7k1 repos~954Automated safety check: NotesMIT

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Works with

Questions about Interview System Designer

What does Interview System Designer do?

Plans role-based interview loops, question sets, scoring rubrics and calibration checks, with bundled Python scripts and bias-reduction checklists for hiring teams. The skill supports building structured interviews and keeping hiring signal consistent across interviewers. Its core capabilities are loop planning by role and level, round-by-round focus and timing, question sets by round type, scoring and calibration frameworks, and guidance on reducing bias.

When should I use Interview System Designer?

Interview System Designer fits situations like: designing an interview loop for a specific role and level; building a question bank and scoring rubric for a hiring round; calibrating interviewers so their scores are consistent; reviewing a hiring process for bias before rollout.

How do I install Interview System Designer in Claude Code?

Run `npx skills add alirezarezvani/claude-skills --skill interview-system-designer -a claude-code`. Or copy the skill folder (engineering/skills/interview-system-designer in alirezarezvani/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 alirezarezvani/claude-skills --skill interview-system-designer -a codex`. Or copy the skill folder (engineering/skills/interview-system-designer in alirezarezvani/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 alirezarezvani/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 (python3). Our summary lists: Python 3 to run the bundled scripts.

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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Interview System Designer use?

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

How many tokens does Interview System Designer use?

About 568 tokens (SKILL.md is roughly 2.3k 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 12k 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: Python Backend Interview Questions (Snailclimb/interview-guide, 3.3k stars), Linkedin Jobs Search (browser-act/skills, 6.1k stars), Itr Wala (karanb192/itr-wala, 871 stars) and Tushare Data (zillionare/zillionare, 319 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?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,829 GitHub stars. The repository holds 342 skills in this directory. The repository was last updated on August 30, 2026.

Source: alirezarezvani/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.