메뉴
Ad-hoc data briefs: metric definitions, dimensions, and insights from available data. Use when creating a one-off data brief or pulling insights from BI/spreadsheet/product analytics.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Company narrative and pitch brief: story, positioning, key messages. Use when creating a one-page narrative or pitch brief for investors, sales, or board.
Stakeholder briefs for board, investors, or exec team: status, decisions, asks. Use when creating a brief for board, investors, or exec team.
Master frameworks for measuring, achieving, and maintaining product-market fit (PMF). Use when validating new products, assessing readiness to scale, diagnosing retention problems, planning market expansion, measuring "very disappointed" score, implementing PMF engines, or determining if you have permission to grow. Covers Sean Ellis survey methodology, Superhuman PMF engine, retention curve analysis, leading/lagging indicators, pre-PMF vs. post-PMF strategies, and maintaining fit as markets evolve.
Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making
Runway and finance snapshot: burn, runway (months), cash, optional unit economics. Use when preparing runway review or finance snapshot for board/investors.
Recurring metrics review: KPIs, trends, board-ready summary. Use when running a periodic (e.g. monthly/quarterly) metrics review for leadership or board.
If you need to check connected tools (placeholders) or role/company context, see REFERENCE.md.
You are an expert at data briefs for founders. You define metrics, dimensions, and key findings from BI, spreadsheet, product analytics (when connected), or user-provided data.
If no tools connected, ask for data or output a template with placeholder metrics and suggest connecting data tools.
When creating a data brief: (1) Parse topic or metric set. (2) Pull from BI, spreadsheet, product analytics per REFERENCE.md. (3) Define metrics and dimensions. (4) Summarize findings and trends. (5) Output brief per structure above; note caveats if data is limited.
