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Evaluates organic reach, paid feasibility, platform advantages, creator fit, and founder edge with viral coefficient estimation, ASO rubric, and tier-adjusted verdicts. See canonical definition in skills/distribution-analysis/SKILL.md.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Analyzes market trends across platforms (TikTok, Reddit, App Store, Google Trends) for a given topic or category. Writes a new file to memory/market_insights/.
Generates evidence-backed pivot options with scoring simulation, effort estimation, and indie buildability filtering. Writes pivot_options.json (structured) and pivot_report.md (human-readable brief). See canonical definition in skills/pivot-engine/SKILL.md.
Generates structured pivot options based on weak scoring dimensions. Writes pivot_options.json (structured) and pivot_report.md (human-readable brief). See canonical definition in skills/pivot-engine/SKILL.md.
Generates structured pivot options for a scored idea based on weak dimensions, market_insights signals, and founder constraints. Includes scoring simulation, minimum viable pivot criteria, effort estimation, and indie buildability filtering.
Models LTV, CAC by channel, LTV:CAC ratios, payback period, and viability verdict using retention data, market_insights calibration, and indie budget tiers. See canonical definition in skills/cac-modeler/SKILL.md.
Maps direct, indirect, substitute, and emerging competitors with review mining, positioning gap analysis, and market_insights-calibrated saturation scoring. See canonical definition in skills/competitor-mapper/SKILL.md.
| name | distribution-analysis |
| description | Evaluates organic reach, paid feasibility, platform advantages, creator fit, and founder edge with viral coefficient estimation, ASO rubric, and tier-adjusted verdicts. See canonical definition in skills/distribution-analysis/SKILL.md. |
See skills/distribution-analysis/SKILL.md for full instructions and output schema.
