Structured conversational interview to formalise a research idea or extension into a concrete specification with hypotheses and empirical strategy.

Custom licenceAuto-check passedAgent Workflows

Install Interview Me

skills CLI
$ npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill interview-me -a claude-code

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

GitHub CLI
$ gh skill install brycewang-stanford/Auto-Empirical-Research-Skills interview-me --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/brycewang-stanford/Auto-Empirical-Research-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/41-sticerd-eee-sewage-econometrics-check/skills/interview-me .claude/skills/interview-me && 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-me
GitHub stars
4.5k
Token cost
~1k tokens
SKILL.md length
352 words
Files
1
Skills in repo
383
Repo updated
First seen
Licence
Custom licence

At a glance

Structured conversational interview to formalise a research idea or extension into a concrete specification with hypotheses and empirical strategy.

  • Works in 6 steps: The Big Picture (1-2 questions) → Theoretical Motivation (1-2 questions) → Data and Setting (1-2 questions) → …
  • Tasks that involve Requirements gathering
  • SKILL.md covers How This Works, Interview Structure, After the Interview and Interview Style
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Interview Me is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Structured conversational interview to formalise a research idea or extension into a concrete specification with hypotheses and empirical strategy. This skill should be used when asked to "interview me", "help me think through an idea", "formalise this idea", or "start fresh" on a new research direction.

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Requirements gathering and Hypothesis generation. The repository describes itself as: 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库,覆盖8大社会科学学科的实证研究。CoPaper.AI…

When your agent uses it

  • Tasks that involve Requirements gathering
  • Tasks that involve Hypothesis generation

Example prompts

  • “interview me”
  • “help me think through an idea”
  • “formalise this idea”
  • “/interview-me”

Requirements

  • Pre-approved tools (allowed-tools): Read, Write

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. The Big Picture (1-2 questions)
  2. Theoretical Motivation (1-2 questions)
  3. Data and Setting (1-2 questions)
  4. Identification (1-2 questions)
  5. Expected Results (1-2 questions)
  6. Contribution (1 question)

What it can do on your machine

Read from SKILL.md and the folder at commit 9fa87d8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    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 Me loads about 1k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 352 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~1k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 352 words (~1,025 tokens).

“Conduct a structured interview to help formalise a research idea into a concrete specification.”

— opening of SKILL.md by brycewang-stanford, Custom licence
name
interview-me
allowed-tools
Read, Write
argument-hint
[brief topic or 'start fresh']

Read the full SKILL.md on GitHub

Files

Just SKILL.md in skills/41-sticerd-eee-sewage-econometrics-check/skills/interview-me of brycewang-stanford/Auto-Empirical-Research-Skills.

Open the folder on GitHubat commit 9fa87d8

Compare with similar skills

Interview Me 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 Me compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Interview Me this skillbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~1kAutomated safety check: PassCustom licence
Interview Mepedrohcgs/claude-code-my-workflow1.7k—~1.8kAutomated safety check: PassMIT
Research Ideationpedrohcgs/claude-code-my-workflow1.7k—~1.7kAutomated safety check: PassMIT
Interview Memaxwell2732/paper-replicate-agent-demo1371 repos~921Automated safety check: PassNone
Grantsalirezarezvani/claude-skills28k—~3.7kAutomated safety check: PassMIT
Proposal AgentOpenRSI-Foundation/OpenRSI-Index204—~5.1kAutomated safety check: PassApache-2.0

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Questions about Interview Me

What does Interview Me do?

Structured conversational interview to formalise a research idea or extension into a concrete specification with hypotheses and empirical strategy. Interview Me is an agent skill from brycewang-stanford/Auto-Empirical-Research-Skills. Structured conversational interview to formalise a research idea or extension into a concrete specification with hypotheses and empirical strategy.

When should I use Interview Me?

Interview Me fits situations like: tasks that involve Requirements gathering; tasks that involve Hypothesis generation.

How do I install Interview Me in Claude Code?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill interview-me -a claude-code`. Or copy the skill folder (skills/41-sticerd-eee-sewage-econometrics-check/skills/interview-me in brycewang-stanford/Auto-Empirical-Research-Skills) into .claude/skills/interview-me in your project. Claude Code loads it when a task matches its description.

How do I install Interview Me in Codex?

Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill interview-me -a codex`. Or copy the skill folder (skills/41-sticerd-eee-sewage-econometrics-check/skills/interview-me in brycewang-stanford/Auto-Empirical-Research-Skills) into .agents/skills/interview-me in your project. Codex loads it when a task matches its description.

Can I use Interview Me 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 brycewang-stanford/Auto-Empirical-Research-Skills --skill interview-me -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-me, .gemini/skills/interview-me, .github/skills/interview-me and .opencode/skills/interview-me in your project.

What does Interview Me need to run?

SKILL.md names no scripts, command-line tools or credentials: Interview Me is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write.

Does Interview Me 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 Me 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 Me use?

Interview Me has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Interview Me use?

About 1k tokens (SKILL.md is roughly 4.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Interview Me?

Skills that share tags, products or a category with Interview Me: Interview Me (pedrohcgs/claude-code-my-workflow, 1.7k stars), Research Ideation (pedrohcgs/claude-code-my-workflow, 1.7k stars), Interview Me (maxwell2732/paper-replicate-agent-demo, 137 stars) and Grants (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Interview Me?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Auto-Empirical-Research-Skills, which has 4,542 GitHub stars. The repository holds 383 skills in this directory. The repository was last updated on October 5, 2026.

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