mcpbeat Sign in

Develop Spike Summary Agent 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 the architecture decision the spike informs, use develop-adr instead; for research-based exploration, use discover-interview-synthesis.

5k tokens
context cost
the whole folder, loaded on every use
5
files
instructions only
0
copies elsewhere
how many repositories repackaged it
516
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/product-on-purpose/pm-skills --skill develop-spike-summary

The instruction itself

7 sections, as written by the author

<!-- 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:

  • 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.

  • 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.

  • 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.

  • 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.

  • Make a Clear Recommendation

Answer the original question directly: proceed, do not proceed, or proceed with conditions. Avoid hedging - the team needs actionable guidance.

  • Document Artifacts

Link to any code, prototypes, diagrams, or documentation created during the spike. These artifacts often have ongoing value beyond the summary.

  • 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.

Other skills for the same job

different authors, same section of the catalogue
Create Technical Spike
by github
vendor ×1

Create time-boxed technical spike documents for researching and resolving critical development decisions before implementation.

2k tokens
Spec To Backlog
by openai
vendor ×1

Automatically convert Confluence specification documents into structured Jira backlogs with Epics and implementation tickets. When an agent needs to: (1) Create Jira tickets from a Confluence page, (2) Generate a backlog from a specification, (3) Break down a spec into implementation tasks, or (4) Convert requirements into Jira issues. Handles reading Confluence pages, analyzing specifications, creating Epics with proper structure, and generating detailed implementation tickets linked to the Epic.

12k tokens
Grill With Docs
by sanity-io
vendor ×1

Grilling session that challenges your plan against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline as decisions crystallise. Use when user wants to stress-test a plan against their project's language and documented decisions.

2k tokens
Clinical Decision Support Documents
by BioTender-max
×1

Guidelines for clinical decision support (CDS) documents: biomarker-stratified cohort analyses and GRADE-graded treatment reports. Covers structure, executive summaries, evidence grading (1A–2C), stats (HR, CI, survival), and biomarker integration. Use for pharma research docs, clinical guidelines, regulatory submissions.

3k tokens
Clinical Decision Support
by christophacham
×1

Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.

83k tokens scripts
Secure Workflow Guide
by christophacham
×1

Guides through Trail of Bits' 5-step secure development workflow. Runs Slither scans, checks special features (upgradeability/ERC conformance/token integration), generates visual security diagrams, helps document security properties for fuzzing/verification, and reviews manual security areas.

4k tokens
Adr Log
by ComeOnOliver
×1

Document architecture decisions with ADR (Architecture Decision Records). Use when making significant technical decisions, choosing between alternatives, or when onboarding needs context on past decisions.

7k tokens
Plan Approval
by ComeOnOliver
×1

Plan-approval workflow patterns for user control over AI actions in Claude Code Waypoint Plugin. Use when planning complex changes, need user approval before execution, want to prevent mistakes, or need to document proposed changes. Covers plan creation, approval checkpoints, plan deviation tracking, revision management, and learning from approved/rejected plans.

8k tokens

How to use it

Copy the folder

Take product-on-purpose/develop-spike-summary from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.