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The user wants to run an iterative product learning cycle. Use when the user wants to apply The Lean Startup's Build Measure Learn method.
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インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
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。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/zhouwei713/book2skill --skill build-measure-learnコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Convert books, course transcripts, article collections, podcast transcripts, workshop notes, reports, manuals, or other methodology-rich source materials into source-grounded installable Agent Skills. Use when the user wants to extract practical methods, frameworks, checklists, exercises, decision models, product playbooks, management systems, or repeatable thinking tools from long-form material and package them as reusable skills.
The user has product evidence and wants to decide whether to change direction. Use when the user wants to apply The Lean Startup's Pivot method to produce A pivot diagnosis report with evidence, failed assumption, recommended pivot, risks, and next validation experiment..
The user wants to test a product idea with the smallest useful experiment. Use when the user wants to apply The Lean Startup's Minimum Viable Product method to produce A concise MVP experiment plan with assumption, prototype scope, metric, threshold, timeline, risk, and next action..
SOC 職業分類に基づく
SKILL.md を表示中
| name | build-measure-learn |
| description | The user wants to run an iterative product learning cycle. Use when the user wants to apply The Lean Startup's Build Measure Learn method. |
| source_book | The Lean Startup |
| source_author | Eric Ries |
| confidence | high |
This skill helps the user turn an idea into a measurable experiment and convert results into a decision. It is based on The Lean Startup by Eric Ries.
Ask for missing information only when it is necessary.
{
"hypothesis": "",
"build_plan": "",
"metric": "",
"data_source": "",
"decision_rule": "",
"timeline": ""
}
Translate the hypothesis into the smallest build action that can generate real user evidence.
Define actionable metrics, collection method, sample, and observation period.
Interpret the results against the pre-set decision rule. Summarize what has been validated or invalidated.
Suggest ways to reduce cost, time, and complexity in the next cycle.
# Build Measure Learn Plan
## Hypothesis
## Build action
## Measurement plan
## Decision rule
## Learning record
## Next cycle
Book: The Lean Startup Author: Eric Ries Evidence basis: Core Lean Startup feedback loop.