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Develop spike summary

Skill product-on-purpose/pm-skills/skills/develop-spike-summary

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.From its SKILL.md

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npx -y skills add product-on-purpose/pm-skills --skill develop-spike-summary

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SKILL.md

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<!-- PM-Skills | https://github.com/product-on-purpose/pm-skills | Apache 2.0 -->

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

When NOT to Use

  • You are recording the resulting architecture decision itself -> use develop-adr; the spike informs, the ADR decides
  • The exploration was user research, not technical or design feasibility -> use discover-interview-synthesis
  • You want to propose the solution the spike pointed to -> use develop-solution-brief
  • The spike has not happened yet: this skill documents results; time-box and run the exploration first

Instructions

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.

Output Format

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.

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.

What ships with it: 4 files

14.1 KB alongside SKILL.md

references/

Gives 0 of the 12 instructions most research analysis skills give in 670 tokens

Counted across 1,213 of the 2,113 authors here whose files we hold, read 2026-09-06

  • Cite sources for every important claimin 47 of 1213, across 38 files
  • Separate facts from inferences and recommendationsin 21 of 1213, across 12 files
  • Write findings to a markdown filein 19 of 1213
  • Label every insight with a confidence levelin 18 of 1213, across 8 files
  • Read product marketing context before asking questionsin 18 of 1213, across 8 files
  • Rank themes by frequency and intensityin 16 of 1213, across 6 files
  • Establish research mode before proceedingin 16 of 1213, across 6 files
  • Segment survey responses by customer tier or tenurein 16 of 1213, across 6 files
  • Categorize support tickets before analyzingin 16 of 1213, across 6 files
  • Weight research sources from the last twelve monthsin 16 of 1213, across 6 files
  • Use at least five data points per segmentin 15 of 1213, across 5 files
  • Extract verbatim quotes for all research findingsin 15 of 1213, across 5 files

Said here and by no other author read

  • State the original spike question clearly
  • Document allocated and actual time spent
  • Describe the investigation methodology
  • Present findings supported by concrete evidence
  • Provide a clear proceed or not recommendation
  • Link to all created code and artifacts

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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