Agent Skill to Create Technical Spike
Agent Skill to Create Technical Spike is a verified SKILL blueprint on Promptally in Fullstack & Backend Engineering optimized for leading AI models. Create time-boxed technical spike documents for researching and resolving critical development decisions before implementation. Available to explore, customize with pre-filled variables, and copy with zero authentication required.
Technical Specifications
| Specification | Value |
|---|---|
| Artifact type | SKILL (Fullstack & Backend Engineering) |
| Compatible engines | Universal / Model Agnostic |
| Input variables | None (pre-filled) |
| Approximate tokens | 1,642 |
| Source file | SKILL.md |
| Access tier | Free public (MIT) |
Pre-Filled Template
---
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 `${input:FolderPath|docs/spikes}` directory. Name each file using the pattern: `[category]-[short-description]-spike.md` (e.g., `api-copilot-integration-spike.md`, `performance-realtime-audio-spike.md`).
```md
---
title: "${input:SpikeTitle}"
category: "${input:Category|Technical}"
status: "๐ด Not Started"
priority: "${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] | ๐ด Not Started | Spike created and scoped |
| [Date] | ๐ก In Progress | Research commenced |
| [Date] | ๐ข 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 team
3. **Create follow-up tasks** for implementation
## Tools Usage
- **search/searchResults:** Research existing solutions and documentation
- **fetch/githubRepo:** Analyze external APIs, libraries, and examples
- **codebase:** Understand existing system constraints and patterns
- **runTasks:** Execute prototypes and validation tests
- **editFiles:** Update research progress and findings
- **vscodeAPI:** Test VS Code extension capabilities and limitations
Focus on time-boxed research that resolves critical technical decisions and unblocks development progress.
How to use this skill
- Review the pre-filled example and source files above.
- Copy the template or download
SKILL.md, then use it in your model, IDE, or workflow tool. - Compare your result with the sample output when one is provided.
Frequently Asked Questions
How do I use Agent Skill to Create Technical Spike?
Open the skill on Promptally, review the pre-filled example, then copy the template or download SKILL.md and paste it into your model, IDE or workflow tool. Agent Skill to Create Technical Spike is a static blueprint with no dynamic variables. Copy it and use it as-is.
Is Agent Skill to Create Technical Spike free?
Yes. Agent Skill to Create Technical Spike is free to view, copy and download on Promptally without creating an account. It is published under the MIT license.
What variables does Agent Skill to Create Technical Spike need?
Agent Skill to Create Technical Spike is a static blueprint with no dynamic variables. Copy it and use it as-is.