AI Agent Skill HUB
multiAI Summary Pending

technical-research

Technical spike and research investigation specialist. Use when exploring options for a technical decision, conducting timeboxed investigations, or evaluating technology choices.

231 stars
byaiskillstore
View on GitHubInstallation ↓

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/technical-research/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/89jobrien/technical-research/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/technical-research/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How technical-research Compares

Feature / Agenttechnical-researchStandard Approach
Platform SupportmultiLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Technical spike and research investigation specialist. Use when exploring options for a technical decision, conducting timeboxed investigations, or evaluating technology choices.

Which AI agents support this skill?

This skill is compatible with multi.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Technical Research Skill

Structured approach to technical spikes, proof of concepts, and technology evaluations.

## What This Skill Does

- Conducts timeboxed technical investigations
- Creates proof of concept implementations
- Compares technical options objectively
- Documents findings and recommendations
- Identifies risks and dependencies
- Provides implementation paths

## When to Use

- Technology selection decisions
- Architecture exploration
- Feasibility studies
- Performance investigations
- Library/framework evaluation

## Reference Files

- `references/TECHNICAL_SPIKE.template.md` - Structured spike investigation format

## Spike Structure

1. **Objective** - Clear questions to answer
2. **Timebox** - Fixed investigation period
3. **Options** - Multiple approaches explored
4. **POC** - Working code for each option
5. **Comparison** - Weighted criteria matrix
6. **Recommendation** - Justified decision

## Best Practices

- Define success criteria upfront
- Explore at least 2-3 options
- Create runnable POC code
- Document trade-offs honestly
- Track unanswered questions
- Stay within timebox