define-hypothesis
Defines a testable hypothesis with clear success metrics and a validation approach. Use when…
Documents the results of a completed technical or design spike, capturing the original question, approach, evidence-backed findings, and a clear proceed-or-not recommendation so the team does not re-litigate the exploration. Use once a time-boxed investigation has concluded. For
$ npx -y skills add product-on-purpose/pm-skills --skill develop-spike-summary --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/develop-spike-summaryContext preview
The summary Claude sees to decide when to auto-load this skill.
Documents the results of a completed technical or design spike, capturing the original question, approach, evidence-backed findings, and a clear proceed-or-not recommendation so the team does not re-litigate the exploration. Use once a time-boxed investigation has concluded. For
name: develop-spike-summary description: Documents the results of a completed technical or design spike, capturing the original question, approach, evidence-backed findings, and a clear proceed-or-not recommendation so the team does not re-litigate the exploration. Use once a time-boxed investigation has concluded. For the architecture decision the spike informs, use develop-adr instead; for research-based exploration, use discover-interview-synthesis. license: Apache-2.0 metadata: phase: develop version: "2.2.0" updated: 2026-07-04 category: coordination frameworks: [triple-diamond, lean-startup, design-thinking] author: product-on-purpose
<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->
A spike summary documents the results of a time-boxed exploration - a focused investigation to reduce uncertainty before committing to implementation. Spikes answer specific questions like "Can we integrate with this API?" or "Is this technology viable for our use case?" The summary captures findings so the team can make informed decisions without the spike participants needing to repeat explanations.
When asked to document a spike, follow these steps:
1. **State the Question Clearly** Articulate the specific question the spike was designed to answer. Good spike questions are focused and answerable with the time-box available. If the question evolved during the spike, document both the original and final versions.
2. **Define the Time-Box** Document the time allocated (e.g., 3 days) and actual time spent. If the spike exceeded its time-box, explain why and note any remaining work.
3. **Describe the Approach** Explain what was tried, in what order, and why. This helps future readers understand the methodology and whether alternative approaches were considered.
4. **Present Findings with Evidence** Document what was learned, supported by concrete evidence - code samples, performance benchmarks, screenshots, or API responses. Distinguish between verified findings and hypotheses that need more testing.
5. **Make a Clear Recommendation** Answer the original question directly: proceed, do not proceed, or proceed with conditions. Avoid hedging - the team needs actionable guidance.
6. **Document Artifacts** Link to any code, prototypes, diagrams, or documentation created during the spike. These artifacts often have ongoing value beyond the summary.
7. **Capture Open Questions** Note what the spike didn't answer and what additional investigation might be needed.
Use the template in `references/TEMPLATE.md` to structure the output. A complete spike summary fills every template section: Overview; Background; Approach; Findings; Recommendation; Artifacts; Open Questions; and Follow-up Items.
Before finalizing, verify:
See `references/EXAMPLE.md` for a completed example.
68 plug-and-play, best-practice product management skills for AI agents: 30 Triple Diamond phase + 11 foundation + 12 utility + 15 tool (Foundation Sprint + Design Sprint). Plus 6 sub-agents, workflows, 200+ output samples, guides, and CI-enforced contracts. Apache 2.0.
Repo: product-on-purpose/pm-skills
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