Agent skill

Interview

by alirezarezvani in alirezarezvani/claude-skills

Phase 1 of building a Claude Managed Agent — interview the founder about the one job the agent should do, then produce a build sheet (CMA primitives table + v1/v2 deferrals + eval plan) WITHOUT…

MITAuto-check passedAgent Workflows

Install Interview

skills CLI

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

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

GitHub CLI

$ gh skill install alirezarezvani/claude-skills interview --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/agent-launcher/skills/interview .claude/skills/interview && 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/

Paste into Claude Code

Install the "interview" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/agent-launcher/skills/interview into .claude/skills/interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interview", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/alirezarezvani/claude-skills/tree/main/agent-launcher/skills/interview

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add alirezarezvani/claude-skills --skill interview -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install alirezarezvani/claude-skills interview --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent-launcher/skills/interview .agents/skills/interview && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "interview" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/agent-launcher/skills/interview into .agents/skills/interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interview", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add alirezarezvani/claude-skills --skill interview -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install alirezarezvani/claude-skills interview --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent-launcher/skills/interview .cursor/skills/interview && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "interview" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/agent-launcher/skills/interview into .cursor/skills/interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interview", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/alirezarezvani/claude-skills.git --path agent-launcher/skills/interview

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add alirezarezvani/claude-skills --skill interview -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install alirezarezvani/claude-skills interview --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent-launcher/skills/interview .gemini/skills/interview && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "interview" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/agent-launcher/skills/interview into .gemini/skills/interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interview", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install alirezarezvani/claude-skills interview

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add alirezarezvani/claude-skills --skill interview -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent-launcher/skills/interview .github/skills/interview && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "interview" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/agent-launcher/skills/interview into .github/skills/interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interview", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add alirezarezvani/claude-skills --skill interview -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install alirezarezvani/claude-skills interview --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/alirezarezvani/claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent-launcher/skills/interview .opencode/skills/interview && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "interview" agent skill from https://github.com/alirezarezvani/claude-skills/tree/main/agent-launcher/skills/interview into .opencode/skills/interview/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "interview", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: interview
GitHub stars: 28k
Token cost: ~1.1k tokens
SKILL.md length: 350 words
Files: 5 (incl. scripts)
Skills in repo: 342
Repo updated: Aug 30, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Phase 1 of building a Claude Managed Agent — interview the founder about the one job the agent should do, then produce a build sheet (CMA primitives table + v1/v2 deferrals + eval plan) WITHOUT…

Works in 5 steps: Interview. Walk the six slots. Capture… → Map to primitives. → Assemble the sheet. → …
The user says help me scope an agent
SKILL.md covers The six intake slots (ask one…, Workflow, Hard rules and Forcing-question library…, plus 1 more section
Runs Python scripts from its folder; calls python3

What it does

Interview is an agent skill from alirezarezvani/claude-skills. Phase 1 of building a Claude Managed Agent — interview the founder about the one job the agent should do, then produce a build sheet (CMA primitives table + v1/v2 deferrals + eval plan) WITHOUT needing their API key yet. Use when the user says "help me scope an agent", "I have an idea for an agent", "what should this agent be", or when the orchestrator routes phase=interview. Drives the six intake slots (job, trigger, inputs, actions, definition-of-done, recurrence) via AskUserQuestion, maps them to primitives…

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts (for example `README.md`, `scripts/build_sheet_builder.py` and `scripts/interview_planner.py`).

It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: 380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8… The licence is MIT.

When your agent uses it

The user says help me scope an agent
I have an idea for an agent
What should this agent be
The orchestrator routes phase=interview

Example prompts

“help me scope an agent”
“I have an idea for an agent”
“what should this agent be”
“/interview”

Requirements

Python 3

Workflow steps

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

Interview. Walk the six slots. Capture the founder's own words — never
Map to primitives.
Assemble the sheet.
Validate limits.
Record the plan in the goal. `goal_state.py set --phase stage-launch

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 3 files 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 loads about 1.1k tokens when it runs. Until then it costs about 205 tokens; SKILL.md has 350 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~205
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k

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); 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). 350 words, ~1,103 tokens.

Download SKILL.mdSave it as .claude/skills/interview/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.

name: interview
description: Phase 1 of building a Claude Managed Agent — interview the founder about the one job the agent should do, then produce a build sheet (CMA primitives table + v1/v2 deferrals + eval plan) WITHOUT needing their API key yet. Use when the user says "help me scope an agent", "I have an idea for an agent", "what should this agent be", or when the orchestrator routes phase=interview. Drives the six intake slots (job, trigger, inputs, actions, definition-of-done, recurrence) via AskUserQuestion, maps them to primitives with interview_planner.py, assembles build-sheet.json with build_sheet_builder.py, and validates limits with primitives_validator.py. Connectors are mockable in v0 (schema-true custom tools); real MCP servers become v1 deferrals. Distinct from stage-launch (which turns the sheet into payloads).
version: 2.11.2
author: Alireza Rezvani
license: MIT
tags: cma, interview, scoping, build-sheet, primitives, deferrals, eval-plan
compatible_tools: claude-code, codex-cli, cursor, antigravity, opencode, gemini-cli

Phase 1 — Interview → Plan

Open warmly with one or two examples from ../../references/examples-bank.md, then interview the founder into a build sheet. No API key needed in this phase — the output is a plan.

The six intake slots (ask one at a time; use AskUserQuestion for choices)

Slot	Question	Maps to
Job	"What one job should this agent do end-to-end?"	`agent.system` + outcome `description`
Trigger	"What kicks it off — you ask it, an event, or a schedule?"	on-demand / event / cron
Inputs	"What does it read?" (files, repo, memory, gmail/slack/github, web)	resources / MCP servers / memory
Actions	"What does it do?" (draft, write, call APIs, run code)	agent toolset / custom tools / MCP
Done	"How would you grade a good run?"	outcome `rubric` (required)
Recurrence	"Once, on request, or on a cadence?"	single-pass / grade-loop / cron-loop

See ../../references/interview-to-config.md for the full mapping.

Workflow

Interview. Walk the six slots. Capture the founder's own words — never invent specifics they didn't claim.

Map to primitives.

bash

python3 scripts/interview_planner.py \
  --job "Triage overnight support email" --trigger schedule \
  --inputs "gmail,memory" --actions "label,reply" \
  --dod "one label per email, grounded reason, no invented facts" \
  --recurrence daily --out ./my-agent/plan.json

MCP inputs become schema-true mock custom tools in v0 and a v1 deferral to wire the real server. Irreversible actions (send/publish) become v2 deferrals behind always_ask.

Assemble the sheet.

bash

python3 scripts/build_sheet_builder.py --plan ./my-agent/plan.json --out-dir ./my-agent

Validate limits.
bash
```
python3 scripts/primitives_validator.py --sheet ./my-agent/build-sheet.json
```
FAIL blocks progress; fix and re-run. WARN is advisory (surface it).
Record the plan in the goal. goal_state.py set --phase stage-launch --artifact build_sheet=./my-agent/build-sheet.json, then advance.

Show full SKILL.md (133 more words)Show less

Hard rules

v0 is the core job only. Everything else is a versioned deferral with a reason and an exact mechanism.
Their problem, their words.
No key yet. The interview produces a plan; the key is a Phase-2 concern.

"What one job — singular?" Recommend: the most-repeated task. Cite: interview-to-config.md. Two jobs → two agents.
"Real integration or v0 mock?" Recommend: mock; wire MCP as v1. Cite: interview-to-config.md rule 1.
"How do you grade it?" Recommend: 3–5 grounded rubric lines. Cite: cma-primitives.md (rubric required).
"Smarter over time?" Recommend: attach memory only if yes. Cite: cma-primitives.md (memory limits + injection).
"Once, or on a cadence?" Recommend: on-demand v0, schedule as Phase-4. Cite: loops-and-workflows.md.

Tools

scripts/interview_planner.py — answers → primitives skeleton + deferrals.
scripts/build_sheet_builder.py — assemble/normalize build-sheet.json.
scripts/primitives_validator.py — validate vs CMA limits (PASS/WARN/FAIL).

Files

SKILL.md and 4 other files (scripts) in agent-launcher/skills/interview of alirezarezvani/claude-skills.

SKILL.md
README.md
scripts/build_sheet_builder.py
scripts/interview_planner.py
scripts/primitives_validator.py

Open the folder on GitHubat commit 19392f7

Compare with similar skills

Interview 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 compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Interview this skillalirezarezvani/claude-skills	28k	—	~1.1k	Automated safety check: Pass	MIT	1 mo ago
Igce Builder Craiskillstore/marketplace	430	—	~4.2k	Automated safety check: Pass	None	today
MCP Server Builderanthropics/skills	180k	62 repos	~2.3k	Automated safety check: Pass	Apache-2.0	2 days ago
MCP Server BuildershareAI-lab/learn-claude-code	78k	5 repos	~1.2k	Automated safety check: Pass	MIT	9 days ago
MCP Integration for Pluginsanthropics/claude-plugins-official	37k	11 repos	~3.1k	Automated safety check: Pass	Apache-2.0	yesterday
Fastmcp Client CLIPrefectHQ/fastmcp	28k	1 repos	~823	Automated safety check: Pass	Apache-2.0	yesterday

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Works with

Model Context Protocol

Questions about Interview

What does Interview do?

Phase 1 of building a Claude Managed Agent — interview the founder about the one job the agent should do, then produce a build sheet (CMA primitives table + v1/v2 deferrals + eval plan) WITHOUT…. Interview is an agent skill from alirezarezvani/claude-skills. Phase 1 of building a Claude Managed Agent — interview the founder about the one job the agent should do, then produce a build sheet (CMA primitives table + v1/v2 deferrals + eval plan) WITHOUT needing their API key yet.

When should I use Interview?

Interview fits situations like: the user says help me scope an agent; I have an idea for an agent; what should this agent be; the orchestrator routes phase=interview.

How do I install Interview in Claude Code?

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

How do I install Interview in Codex?

Run `npx skills add alirezarezvani/claude-skills --skill interview -a codex`. Or copy the skill folder (agent-launcher/skills/interview in alirezarezvani/claude-skills) into .agents/skills/interview in your project. Codex loads it when a task matches its description.

Can I use Interview 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 -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, .gemini/skills/interview, .github/skills/interview and .opencode/skills/interview in your project.

What does Interview need to run?

Going by SKILL.md and its folder, Interview needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Interview 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 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 use?

Interview 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 use?

About 1.1k tokens (SKILL.md is roughly 4.4k 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?

Skills that share tags, products or a category with Interview: Igce Builder Cr (aiskillstore/marketplace, 430 stars), MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars) and MCP Integration for Plugins (anthropics/claude-plugins-official, 37k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Interview?

alirezarezvani (a GitHub user) maintains it in alirezarezvani/claude-skills, which has 27,788 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.

Install Interview

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Phase 1 — Interview → Plan

The six intake slots (ask one at a time; use AskUserQuestion for choices)

Workflow

Hard rules

Forcing-question library (recommend + cite)

Tools

Files

Compare with similar skills

Similar skills

More from alirezarezvani/claude-skills

Related

Questions about Interview