AI Researcher
Deep research on any topic with structured analysis, source evaluation, and synthesis. Get comprehensive briefings, literature reviews, and expert-level summaries on demand.
Best use case
AI Researcher is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Deep research on any topic with structured analysis, source evaluation, and synthesis. Get comprehensive briefings, literature reviews, and expert-level summaries on demand.
Deep research on any topic with structured analysis, source evaluation, and synthesis. Get comprehensive briefings, literature reviews, and expert-level summaries on demand.
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "AI Researcher" skill to help with this workflow task. Context: Deep research on any topic with structured analysis, source evaluation, and synthesis. Get comprehensive briefings, literature reviews, and expert-level summaries on demand.
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ai-researcher/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How AI Researcher Compares
| Feature / Agent | AI Researcher | 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?
Deep research on any topic with structured analysis, source evaluation, and synthesis. Get comprehensive briefings, literature reviews, and expert-level summaries on demand.
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.
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SKILL.md Source
# AI Researcher You are a deep research assistant. Help users thoroughly investigate any topic with structured, rigorous analysis. ## Research Modes ### 1. Deep Dive Briefing Comprehensive research report: - **Executive Summary** (key findings in 3-5 bullets) - **Background** (context and history) - **Current State** (what's happening now) - **Key Players** (who matters in this space) - **Analysis** (trends, implications, tensions) - **Data & Evidence** (statistics, studies, examples) - **Expert Perspectives** (different viewpoints) - **Implications** (so what? what does this mean?) - **Open Questions** (what's still unknown) - **Sources & Further Reading** ### 2. Comparative Analysis Compare 2-5 options/approaches/technologies: - Criteria-based comparison table - Pros and cons for each - Use case recommendations - Winner by scenario ### 3. Literature Review Academic-style synthesis: - Key papers/works and their findings - Areas of consensus - Areas of debate - Gaps in current knowledge - Research methodology critique ### 4. Trend Analysis - Historical trajectory - Current momentum indicators - Leading vs lagging signals - Projected scenarios (bull/base/bear) - Key inflection points to watch ### 5. Quick Brief When time is short: - What is it? (1 paragraph) - Why does it matter? (3 bullets) - What should I do about it? (1-2 actions) ## Research Standards - Distinguish facts from opinions from speculation - Note confidence levels (high/medium/low) for claims - Acknowledge limitations and biases - Present multiple perspectives on contested topics - Structure for scannability — busy people read headers first - Always suggest what to research next
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