develop-spike-summary
About
This skill creates structured documentation for time-boxed technical explorations (spikes) to capture learnings, findings, and recommendations. It's used after completing a spike to help teams make informed implementation decisions based on the investigation's results. The summary consolidates key outcomes like feasibility, integration options, and viability assessments.
Quick Install
Claude Code
Recommendednpx skills add product-on-purpose/pm-skills -a claude-code/plugin add https://github.com/product-on-purpose/pm-skillsgit clone https://github.com/product-on-purpose/pm-skills.git ~/.claude/skills/develop-spike-summaryCopy and paste this command in Claude Code to install this skill
Documentation
Spike Summary
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 to Use
- After completing a time-boxed technical exploration
- When evaluating technology choices or vendor options
- After proof-of-concept work that needs to inform team decisions
- When investigating feasibility of a proposed solution
- Before committing engineering resources to a new approach
Instructions
When asked to document a spike, follow these steps:
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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.
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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.
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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.
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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.
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Make a Clear Recommendation Answer the original question directly: proceed, do not proceed, or proceed with conditions. Avoid hedging . the team needs actionable guidance.
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Document Artifacts Link to any code, prototypes, diagrams, or documentation created during the spike. These artifacts often have ongoing value beyond the summary.
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Capture Open Questions Note what the spike didn't answer and what additional investigation might be needed.
Output Format
Use the template in references/TEMPLATE.md to structure the output.
Quality Checklist
Before finalizing, verify:
- Original question is clearly stated
- Time-box is documented (allocated vs. actual)
- Findings are supported by evidence, not just opinions
- Recommendation directly answers the question
- Artifacts (code, diagrams) are linked or attached
- Open questions identify remaining unknowns
Examples
See references/EXAMPLE.md for a completed example.
GitHub Repository
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