Scope a Claude Managed Agent through six questions about its job, trigger, inputs, actions, success criteria, and recurrence. Produce a validated build sheet with configuration components, deferred features, and an evaluation plan, without requiring an API key.
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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).
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
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.
| 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.
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
always_ask.python3 scripts/build_sheet_builder.py --plan ./my-agent/plan.json --out-dir ./my-agent
python3 scripts/primitives_validator.py --sheet ./my-agent/build-sheet.json
goal_state.py set --phase stage-launch --artifact build_sheet=./my-agent/build-sheet.json, then advance.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).아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.
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Audit web applications for accessibility issues against WCAG 2.2 Level A and AA, the web accessibility standards. Get framework-specific code fixes, contrast checks, verification steps, and reports, with options for automated checks in development pipelines.
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Plan A/B tests that compare page variations, from headlines to pricing layouts. Define a hypothesis, choose success metrics, calculate sample size and duration, and prepare launch checks and results reports to support decisions.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create paid ad headlines and body copy tailored to each platform's character limits. Use existing performance data to develop variations, explore new messaging angles, and check copy for length, quality, and potential rejection risks.
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Review code changes from three critical perspectives: production failures, maintainability, and security. Get a consolidated report that ranks findings by severity and provides merge guidance, helping examine assumptions that an ordinary self-review may overlook.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Audit and improve content intended for citation in AI answers. Review evidence, author information, and structure, generate revised content and structured metadata, and keep a local record of observed citations across AI services.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Create signed records for consequential agent actions such as deployments, deletions, and payments. Decide which actions need evidence, record the agent, action, target, and policy, then verify the resulting certificate offline to detect later changes.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.