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Phase 1 — Interview → Plan

Agent Launcher interview Source

Install: claude /plugin install agent-launcher-skills

Open warmly with one or two examples from [references/examples-bank.md](https://github.com/alirezarezvani/claude-skills/tree/main/agent-launcher/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](https://github.com/alirezarezvani/claude-skills/tree/main/agent-launcher/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).