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스토어 스크린샷 생성 및 업로드. 템플릿 기반 합성 후 Fastlane으로 업로드.
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
| name | release-screenshots |
| description | 스토어 스크린샷 생성 및 업로드. 템플릿 기반 합성 후 Fastlane으로 업로드. |
| user_invocable | true |
| allowed_tools | ["Bash","Read"] |
Codex plugin에서 wrapper 경로는 plugin root의 bin/app-release이다. 경로가 불분명하면 WRAPPER=$(find ~/.codex ~/.agents ~/plugins -path "*/app-release/bin/app-release" -type f | head -1) 로 해석한 뒤 아래 $WRAPPER 자리에 사용한다.
$WRAPPER screenshots --generate
사이즈별/로케일별 결과를 요약.
$WRAPPER screenshots --upload
Fastlane deliver / supply를 사용하므로 프로젝트에 fastlane/ 설정이 필요하다.
rg -n "무료|free|할인|sale|₩|원|\$[0-9]" <screenshot-source> — 검출되면 문구를 바꾼 뒤 생성. 가격 홍보는 스크린샷이 아니라 앱 설명(description)에.npm install --prefix <subdir>가 미공개 워크스페이스 패키지 404로 실패하면, 격리된 임시 디렉터리에 playwright만 설치해 절대경로로 렌더한다(브라우저 바이너리는 ~/Library/Caches/ms-playwright에 캐시됨).../../LESSONS.md L3·L4.Convert raw feature requirements, bug reports, or rough task descriptions into a goal-optimized prompt for the agentic coding tool that will run it — Claude Code or OpenAI Codex. 거친 요구사항·버그 리포트·대충 적은 작업 설명을, 그 작업을 실제로 실행할 코딩 에이전트(Claude Code 또는 Codex)에 맞춘 goal 최적화 프롬프트로 변환한다. Use when the user wants a requirement shaped into a prompt/spec/goal for an agent — "이거 프롬프트로 만들어줘 / 변환해줘", "코덱스(codex)/클로드코드용으로", "목표·범위·완료조건 갖춘 프롬프트로" — or mentions the goal feature or /goal command. By default targets the agent running the skill (Claude Code → Claude-optimized, Codex → Codex-optimized); honors an explicit named target. Proactively fire on vague requirements headed to a coding agent ("대시보드 빠르게 해줘", "add auth", "로그인 버그 고쳐줘"). Not for implementing/debugging it yourself, codex code review, explaining /goal, translating, editing AGENTS.md, multi-agent orchestration (cmux/herdr), or writing a plan.
Use when the user wants to turn a repetitive, reviewable task into a controlled agent loop — phrases like "이거 자동화/반복하고 싶어", "루프로 돌리고 싶어", "정기적으로 점검하게 해줘", "loop engineering", "agent loop 설계", or wants to audit existing loops ("루프 점검", "loop audit"). Designs a loop with trigger·state·verification·human-gate·stop + 7 guardrails + 6 metrics, maps it onto an existing engine (herdr/loop/Cron/Workflow/Codex Automations), and writes a spec to docs/loops/. Does NOT execute loops itself and is NOT for one-off prompts (use goalcraft) or multi-agent run orchestration (use herdr/cmux).
Convert a recurring or repetitive task description into a Claude Code /loop prompt — the loop sibling of goalcraft. 반복·주기적 작업 설명을 Claude Code /loop 용 프롬프트로 변환한다(goalcraft의 loop 형제). Use when the user wants a task shaped into a /loop prompt — "루프 프롬프트로 만들어줘", "/loop 용으로", "주기적으로 반복하게", "매 N분마다 ~", "~까지 반복해서", "이거 loop으로 돌려줘" — or mentions the /loop command, recurring/scheduled in-session execution, or babysitting/polling a long-running thing. Picks the mode (fixed interval → cron, self-paced → model self-paces, or loop.md default) and bakes in an objective stop condition, an iteration ceiling, and a verification check. Proactively fire on recurring-execution requests ("배포 끝날 때까지 확인", "CI 통과할 때까지 반복", "keep checking the deploy"). Not for single-shot tasks or /goal until-condition prompts (→ goalcraft, which owns /goal), running the loop yourself, deciding whether something should be a loop or auditing loop governance (→ loop-engineering), translating, or explaining /loop.
Use when creating, revising, or critiquing frontend UI (web or mobile) where visual quality, product fit, design-system fidelity, or avoiding generic "AI-slop" output matters — e.g. "make this look good", "why does this look AI-generated", building a landing page / app screen / dashboard, or a design pass on existing UI. Turns vague design intent into a decision-first workflow: classify the surface, decide direction before code, escape default looks, build to measurable craft standards, and verify the rendered result. Portable across Claude Code and Codex.
Use when the user asks to inspect, summarize, explain, configure, connect, curate, or troubleshoot the session-journal Obsidian logging workflow for Claude Code or Codex — including pointing it at an existing/Obsidian-Sync vault, keeping AI-generated notes distinct from hand-authored ones, multi-machine setup, distilling durable knowledge, or verifying the vault config.
Use when the user asks to save durable lessons from session-journal into the LLM-Wiki, collect mistakes or insights from agent work, create reviewable wiki draft candidates, or report those draft candidates to Slack.