# context-package — 단일 컴파일러(context_package.py --compile)가 발급한 스켈레톤.
# spawn 전: 아래 placeholder를 채우고 `python3 .claude/hooks/context_package.py hyeonworks/state/context-packages/hyeonworks-vnext-v1-direction/GTM-PMM-20260718T131418Z.pkg.yaml` 가
# exit 0(통과)이어야 워커를 spawn한다. 스키마·규칙: org-os/06-agent-work/context-package-spec.yaml
# 아직 채워야 하는 필드(발급 시점):
#   - 필수 필드 비어있음(placeholder 미충전): objective
#   - 필수 필드 비어있음(placeholder 미충전): allowed-tools
#   - 필수 필드 비어있음(placeholder 미충전): task-boundaries
#   - 필수 필드 비어있음(placeholder 미충전): must-read
#   - 필수 필드 비어있음(placeholder 미충전): acceptance-tests
#   - 필수 필드 비어있음(placeholder 미충전): non-goals
#   - 필수 필드 비어있음(placeholder 미충전): evidence-plan
workflow-id: hyeonworks-vnext-v1-direction
task-id: review-r2-market-memorability
mode: divergent
tier: standard
model: sonnet
effort: medium
assigned-lens: market-memorability
target-role-agent: GTM-PMM
workspace: hyeonworks
target-repo: hyeonworks
objective: >-
  Ledger Studio revision 2의 Technology Atlas 이름·category descriptor·100/120/70 anchor·headline이 명확하고
  기억 가능한지 market-memorability 렌즈로만 독립 재감사한다.
output-format: report.yaml (report-header BLUF로 시작) + 최종 메시지로 report-path + 1줄 bottom-line
  반환
allowed-tools: [Read, view_image, exec_command, apply_patch]
task-boundaries: >-
  market-memorability만 평가하고 다른 lens/review를 읽지 않는다. prototype은 수정하지 않으며
  GTM-PMM-20260718T131443Z.report.yaml 한 파일만 작성한다.
non-goals: [제품 적합성·사용성·시각 craft·구현성 판정, 실제 시장 반응 주장, 외부 네트워크]
must-read:
  - hyeonworks/completion-records/hyeonworks-vnext-v1-direction/ENG-FE-20260718T131305Z.report.yaml
  - hyeonworks/completion-records/hyeonworks-vnext-v1-direction/DES-DIRECTOR-20260718T115933Z.report.yaml
inherited-decisions:
  - {decision-id: DES-DIRECTOR-20260718T115933Z, summary: "ledger-studio와 5개 locked invariant"}
acceptance-tests:
  - criterion: "exact revision-2 winner id/SHA와 market-memorability verdict/findings를 포함한다."
    verify: "python3 .claude/hooks/validate_report.py hyeonworks/completion-records/hyeonworks-vnext-v1-direction/GTM-PMM-20260718T131443Z.report.yaml"
evidence-plan:
  - {claim: "single public name, category and mechanic-aligned recall bundle", grade: E3, receipt: "exact source and multi-viewport home"}
expected-output:
  report-header:
    bottom-line: ''
    decision-needed:
      needed: false
      approver: null
    confidence:
      value: Med
      derived-from: evidence
    risks: []
    evidence: []
token-budget:
  max-input-tokens: 60000
  max-output-tokens: 8000
method-selection:
  method-id: product-marketing