research-documentation

Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Trigger on "노션 검색", "조사해줘", "리서치 정리". For meeting prep use meeting-intelligence; for saving knowledge use knowledge-capture; for spec breakdown use spec-to-implementation.

16 stars

Best use case

research-documentation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Trigger on "노션 검색", "조사해줘", "리서치 정리". For meeting prep use meeting-intelligence; for saving knowledge use knowledge-capture; for spec breakdown use spec-to-implementation.

Teams using research-documentation 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

$curl -o ~/.claude/skills/research-documentation/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/documentation/research-documentation/SKILL.md"

Manual Installation

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

How research-documentation Compares

Feature / Agentresearch-documentationStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Trigger on "노션 검색", "조사해줘", "리서치 정리". For meeting prep use meeting-intelligence; for saving knowledge use knowledge-capture; for spec breakdown use spec-to-implementation.

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.

Related Guides

SKILL.md Source

# Research & Documentation

Enables comprehensive research workflows: search for information across your Notion workspace, fetch and analyze relevant pages, synthesize findings, and create well-structured documentation.

## Quick Start

When asked to research and document a topic:

1. **Search for relevant content**: Use `Notion:notion-search` to find pages
2. **Fetch detailed information**: Use `Notion:notion-fetch` to read full page content
3. **Synthesize findings**: Analyze and combine information from multiple sources
4. **Create structured output**: Use `Notion:notion-create-pages` to write documentation

## Research Workflow

### Step 1: Search for relevant information

```
Use Notion:notion-search with the research topic
Filter by teamspace if scope is known
Review search results to identify most relevant pages
```

### Step 2: Fetch page content

```
Use Notion:notion-fetch for each relevant page URL
Collect content from all relevant sources
Note key findings, quotes, and data points
```

### Step 3: Synthesize findings

Analyze the collected information:
- Identify key themes and patterns
- Connect related concepts across sources
- Note gaps or conflicting information
- Organize findings logically

### Step 4: Create structured documentation

Use the appropriate documentation template (see [reference/format-selection-guide.md](reference/format-selection-guide.md)) to structure output:
- Clear title and executive summary
- Well-organized sections with headings
- Citations linking back to source pages
- Actionable conclusions or next steps

## Output Formats

Choose the appropriate format based on request:

**Research Summary**: See [reference/research-summary-format.md](reference/research-summary-format.md)
**Comprehensive Report**: See [reference/comprehensive-report-format.md](reference/comprehensive-report-format.md)
**Quick Brief**: See [reference/quick-brief-format.md](reference/quick-brief-format.md)

## Best Practices

1. **Cast a wide net first**: Start with broad searches, then narrow down
2. **Cite sources**: Always link back to source pages using mentions
3. **Verify recency**: Check page last-edited dates for current information
4. **Cross-reference**: Validate findings across multiple sources
5. **Structure clearly**: Use headings, bullets, and formatting for readability

## Page Placement

By default, create research documents as standalone pages. If the user specifies:
- A parent page → use `page_id` parent
- A database → fetch the database first, then use appropriate `data_source_id`
- A teamspace → create in that context

## Advanced Features

**Search filtering**: See [reference/advanced-search.md](reference/advanced-search.md)
**Citation styles**: See [reference/citations.md](reference/citations.md)

## Common Issues

**"No results found"**: Try broader search terms or different teamspaces
**"Too many results"**: Add filters or search within specific pages
**"Can't access page"**: User may lack permissions, ask them to verify access

## Examples

See [examples/](examples/) for complete workflow demonstrations:
- [examples/market-research.md](examples/market-research.md) - Researching market trends
- [examples/technical-investigation.md](examples/technical-investigation.md) - Technical deep-dive
- [examples/competitor-analysis.md](examples/competitor-analysis.md) - Multi-source synthesis

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