Time-boxed technical spike documents for researching critical development decisions before implementation.
Works with
Generates structured markdown spike files with clear objectives, research questions, investigation plans, and decision frameworks
Supports six spike categories: API Integration, Architecture & Design, Performance & Scalability, Platform & Infrastructure, Security & Compliance, and User Experience
Includes built-in checklists for research tasks, success criter
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node --versioncreate-technical-spikeExecute the skills CLI command in your project's root directory to begin installation:
Fetches create-technical-spike from github/awesome-copilot and configures it for Cursor.
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Confirm successful installation by checking the skill directory location:
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Create time-boxed technical spike documents for researching critical questions that must be answered before development can proceed. Each spike focuses on a specific technical decision with clear deliverables and timelines.
Create individual files in ${input:FolderPath|docs/spikes} directory. Name each file using the pattern: [category]-[short-description]-spike.md (e.g., api-copilot-integration-spike.md, performance-realtime-audio-spike.md).
---
title: "${input:SpikeTitle}"
category: "${input:Category|Technical}"
status: "🔴 Not Started"
priority: "${input:Priority|High}"
timebox: "${input:Timebox|1 week}"
created: [YYYY-MM-DD]
updated: [YYYY-MM-DD]
owner: "${input:Owner}"
tags: ["technical-spike", "${input:Category|technical}", "research"]
---
# ${input:SpikeTitle}
## Summary
**Spike Objective:** [Clear, specific question or decision that needs resolution]
**Why This Matters:** [Impact on development/architecture decisions]
**Timebox:** [How much time allocated to this spike]
**Decision Deadline:** [When this must be resolved to avoid blocking development]
## Research Question(s)
**Primary Question:** [Main technical question that needs answering]
**Secondary Questions:**
- [Related question 1]
- [Related question 2]
- [Related question 3]
## Investigation Plan
### Research Tasks
- [ ] [Specific research task 1]
- [ ] [Specific research task 2]
- [ ] [Specific research task 3]
- [ ] [Create proof of concept/prototype]
- [ ] [Document findings and recommendations]
### Success Criteria
**This spike is complete when:**
- [ ] [Specific criteria 1]
- [ ] [Specific criteria 2]
- [ ] [Clear recommendation documented]
- [ ] [Proof of concept completed (if applicable)]
## Technical Context
**Related Components:** [List system components affected by this decision]
**Dependencies:** [What other spikes or decisions depend on resolving this]
**Constraints:** [Known limitations or requirements that affect the solution]
## Research Findings
### Investigation Results
[Document research findings, test results, and evidence gathered]
### Prototype/Testing Notes
[Results from any prototypes, spikes, or technical experiments]
### External Resources
- [Link to relevant documentation]
- [Link to API references]
- [Link to community discussions]
- [Link to examples/tutorials]
## Decision
### Recommendation
[Clear recommendation based on research findings]
### Rationale
[Why this approach was chosen over alternatives]
### Implementation Notes
[Key considerations for implementation]
### Follow-up Actions
- [ ] [Action item 1]
- [ ] [Action item 2]
- [ ] [Update architecture documents]
- [ ] [Create implementation tasks]
## Status History
| Date | Status | Notes |
| ------ | -------------- | -------------------------- |
| [Date] | 🔴 Not Started | Spike created and scoped |
| [Date] | 🟡 In Progress | Research commenced |
| [Date] | 🟢 Complete | [Resolution summary] |
---
_Last updated: [Date] by [Name]_
Use descriptive, kebab-case names that indicate the category and specific unknown:
API/Integration Examples:
api-copilot-chat-integration-spike.mdapi-azure-speech-realtime-spike.mdapi-vscode-extension-capabilities-spike.mdPerformance Examples:
performance-audio-processing-latency-spike.mdperformance-extension-host-limitations-spike.mdperformance-webrtc-reliability-spike.mdArchitecture Examples:
architecture-voice-pipeline-design-spike.mdarchitecture-state-management-spike.mdarchitecture-error-handling-strategy-spike.mdOne Question Per Spike: Each document focuses on a single technical decision or research question
Time-Boxed Research: Define specific time limits and deliverables for each spike
Evidence-Based Decisions: Require concrete evidence (tests, prototypes, documentation) before marking as complete
Clear Recommendations: Document specific recommendations and rationale for implementation
Dependency Tracking: Identify how spikes relate to each other and impact project decisions
Outcome-Focused: Every spike must result in an actionable decision or recommendation
Focus on time-boxed research that resolves critical technical decisions and unblocks development progress.
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
github/awesome-copilot
github/awesome-copilot
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
Useful defaults in create-technical-spike — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend create-technical-spike for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added create-technical-spike from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
create-technical-spike fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend create-technical-spike for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in create-technical-spike — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
create-technical-spike is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
create-technical-spike reduced setup friction for our internal harness; good balance of opinion and flexibility.
create-technical-spike has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: create-technical-spike is the kind of skill you can hand to a new teammate without a long onboarding doc.
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