Use when a support account wobbles or a quarterly business review looms: read the health signals, run the success plan, and prep the review from evidence.
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Significant-Gravitas/skills-catalog22026년 10월 22일 업데이트
무료GitHub에 공개
product-assumption-testing
Design experiments to test assumptions for an existing product — prototypes, A/B tests, spikes, and other low-effort validation methods. Use when validating assumptions, testing feature ideas cheaply, or planning product experiments.
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실행 점수 미검증
설치 방법 보기포함된 파일(3)
- SKILL.md3.0 KB
- ATTRIBUTION.md1.3 KB
- LICENSE1.0 KB
SKILL.md(원문)
설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.
Packaging adaptation by AutoGPT, 2026-09-25. Original authorship and licence are retained. Changes are limited to the recorded name, metadata and local references; see ATTRIBUTION.md in this package.
Design Experiments (Existing Product)
Design low-effort experiments to test product assumptions before committing to full implementation.
Context
You are helping a product team design experiments for $ARGUMENTS. The team has a feature idea and assumptions that need validation.
If the user provides files (PRDs, assumption lists, designs), read them first.
Instructions
The user will describe their idea and assumptions. Work through these steps:
-
Clarify the idea and assumptions: Confirm what the team wants to build and what they need to validate.
-
Suggest experiments for each assumption. Consider methods like:
- First-click testing or task completion with a prototype
- Feature stubs or fake door tests
- Technical spikes
- A/B tests on production (with risk mitigation)
- Wizard of Oz approaches
- Survey-based validation (behavioral, not opinion-based)
-
Key principles to follow:
- Measure actual behavior, not users' opinions
- Test responsibly — don't put users or the business at risk
- For production tests (e.g., A/B tests), explain risk mitigation strategies
- Aim for maximum validated learning with minimal effort
-
For each experiment, specify:
- Assumption: What do we believe?
- Experiment: What exactly will we do to validate it?
- Metric: What will be measured?
- Success threshold: The expected value if we are right
Think step by step. Present experiments in a clear table or structured format. Save as markdown if substantial.
Further Reading
리뷰
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댓글
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같은 저장소의 스킬
Reconcile accounts by comparing GL balances to subledgers, bank statements, or third-party data. Use when performing bank reconciliations, GL-to-subledger recs, intercompany reconciliations, or identifying and categorizing reconciling items.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Significant-Gravitas/skills-catalog22026년 10월 22일 업데이트
Write ad variants that each test one idea, within platform limits and supported claims.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Significant-Gravitas/skills-catalog22026년 10월 22일 업데이트
Use on the first conversation with Alex, or whenever their memory has no product preferences yet: learn what the user is building and who for, where specs, roadmap and numbers live, who decides dates and scope, and get them to a first real product deliverable.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Significant-Gravitas/skills-catalog22026년 10월 22일 업데이트
Use when a strategic alliance needs joint selling governance: operating model, joint targeting, steering prep, and milestone accountability.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Significant-Gravitas/skills-catalog22026년 10월 22일 업데이트