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/interview

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

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alirezarezvani-claude-skills
26k200 skills116 agents150 commands2 MCP
Install
$ npx -y skills add alirezarezvani/claude-skills --skill interview --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/interview

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The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

interview.SKILL.md
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`](../../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`](../../references/interview-to-config.md) for the full mapping.

Workflow

1. **Interview.** Walk the six slots. Capture the founder's own words — never invent specifics they didn't claim. 2. **Map to primitives.**

   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`. 3. **Assemble the sheet.**

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

4. **Validate limits.**

   python3 scripts/primitives_validator.py --sheet ./my-agent/build-sheet.json

FAIL blocks progress; fix and re-run. WARN is advisory (surface it). 5. **Record the plan in the goal.** `goal_state.py set --phase stage-launch --artifact build_sheet=./my-agent/build-sheet.json`, then advance.

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.

Forcing-question library (recommend + cite)

1. "What one job — singular?" *Recommend:* the most-repeated task. *Cite:* interview-to-config.md. Two jobs → two agents. 2. "Real integration or v0 mock?" *Recommend:* mock; wire MCP as v1. *Cite:* interview-to-config.md rule 1. 3. "How do you grade it?" *Recommend:* 3–5 grounded rubric lines. *Cite:* cma-primitives.md (rubric required). 4. "Smarter over time?" *Recommend:* attach memory only if yes. *Cite:* cma-primitives.md (memory limits + injection). 5. "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).
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