technical-research
Technical spike and research investigation specialist. Use when exploring options for a technical decision, conducting timeboxed investigations, or evaluating technology choices.
Best use case
technical-research is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Technical spike and research investigation specialist. Use when exploring options for a technical decision, conducting timeboxed investigations, or evaluating technology choices.
Teams using technical-research should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/technical-research/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How technical-research Compares
| Feature / Agent | technical-research | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/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.
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
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../../../engineering/autoresearch-agent/skills/status/SKILL.md
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../../../engineering/autoresearch-agent/skills/run/SKILL.md
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