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/create-technical-spike

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

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$ npx -y skills add github/awesome-copilot --skill create-technical-spike --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/create-technical-spike

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

create-technical-spike.SKILL.md
name: create-technical-spike
description: 'Create time-boxed technical spike documents for researching and resolving critical development decisions before implementation.'

Create Technical Spike Document

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.

Document Structure

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]_

Categories for Technical Spikes

API Integration

  • Third-party API capabilities and limitations
  • Integration patterns and authentication
  • Rate limits and performance characteristics

Architecture & Design

  • System architecture decisions
  • Design pattern applicability
  • Component interaction models

Performance & Scalability

  • Performance requirements and constraints
  • Scalability bottlenecks and solutions
  • Resource utilization patterns

Platform & Infrastructure

  • Platform capabilities and limitations
  • Infrastructure requirements
  • Deployment and hosting considerations

Security & Compliance

  • Security requirements and implementations
  • Compliance constraints
  • Authentication and authorization approaches

User Experience

  • User interaction patterns
  • Accessibility requirements
  • Interface design decisions

File Naming Conventions

Use descriptive, kebab-case names that indicate the category and specific unknown:

**API/Integration Examples:**

  • `api-copilot-chat-integration-spike.md`
  • `api-azure-speech-realtime-spike.md`
  • `api-vscode-extension-capabilities-spike.md`

**Performance Examples:**

  • `performance-audio-processing-latency-spike.md`
  • `performance-extension-host-limitations-spike.md`
  • `performance-webrtc-reliability-spike.md`

**Architecture Examples:**

  • `architecture-voice-pipeline-design-spike.md`
  • `architecture-state-management-spike.md`
  • `architecture-error-handling-strategy-spike.md`

Best Practices for AI Agents

1. **One Question Per Spike:** Each document focuses on a single technical decision or research question

2. **Time-Boxed Research:** Define specific time limits and deliverables for each spike

3. **Evidence-Based Decisions:** Require concrete evidence (tests, prototypes, documentation) before marking as complete

4. **Clear Recommendations:** Document specific recommendations and rationale for implementation

5. **Dependency Tracking:** Identify how spikes relate to each other and impact project decisions

6. **Outcome-Focused:** Every spike must result in an actionable decision or recommendation

Research Strategy

Phase 1: Information Gathering

1. **Search existing documentation** using search/fetch tools 2. **Analyze codebase** for existing patterns and constraints 3. **Research external resources** (APIs, libraries, examples)

Phase 2: Validation & Testing

1. **Create focused prototypes** to test specific hypotheses 2. **Run targeted experiments** to validate assumptions 3. **Document test results** with supporting evidence

Phase 3: Decision & Documentation

1. **Synthesize findings** into clear recommendations 2. **Document implementation guidance** for development te

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