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.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install openclaw-skills-ai-researcher
Repository
Skill path: skills/1kalin/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.
Open repositoryBest for
Primary workflow: Research & Ops.
Technical facets: Full Stack, Data / AI.
Target audience: everyone.
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: openclaw.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install AI Researcher into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/openclaw/skills before adding AI Researcher to shared team environments
- Use AI Researcher for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.
Original source / Raw SKILL.md
---
name: AI Researcher
description: Deep research on any topic with structured analysis, source evaluation, and synthesis. Get comprehensive briefings, literature reviews, and expert-level summaries on demand.
---
# 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
---
## Skill Companion Files
> Additional files collected from the skill directory layout.
### README.md
```markdown
# AI Researcher
Deep research on any topic — structured, rigorous, and actually useful. Get the briefing a $500/hour analyst would give you.
## What It Does
- **Deep dive briefings** — comprehensive reports with background, analysis, data, and implications
- **Comparative analysis** — structured head-to-head comparisons with criteria-based scoring
- **Literature reviews** — academic-style synthesis of key works and findings
- **Trend analysis** — historical trajectory, momentum signals, and projected scenarios
- **Quick briefs** — what is it, why it matters, what to do — in under 60 seconds
## Example Usage
> "Deep dive: the current state of AI agents in enterprise software"
> "Compare React, Vue, and Svelte for a new startup project"
> "Research the history and future of remote work — trend analysis"
> "Quick brief: what is retrieval-augmented generation (RAG)?"
> "Literature review: the psychology of pricing"
## Who It's For
Founders making strategic decisions, students researching topics, professionals staying current, anyone who needs to understand something deeply and quickly.
---
For industry-specific context, check out our packs at https://afrexai-cto.github.io/context-packs/ — $47/vertical
```
### _meta.json
```json
{
"owner": "1kalin",
"slug": "ai-researcher",
"displayName": "AI Researcher",
"latest": {
"version": "1.0.0",
"publishedAt": 1770951163189,
"commit": "https://github.com/openclaw/skills/commit/7934faed9354600c84d28e553bdda3518752cdf8"
},
"history": []
}
```