본문으로 건너뛰기
cccskills
무료GitHub에 공개

notion-research-documentation

Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

연동 도구Notion
설치 방법 보기

포함된 파일(21)

  • SKILL.md3.6 KB
  • .DS_Store6.0 KB
  • evaluations/.DS_Store6.0 KB
  • evaluations/basic-research.json1.7 KB
  • evaluations/README.md4.2 KB
  • evaluations/research-to-database.json1.6 KB
  • examples/competitor-analysis.md8.0 KB
  • examples/market-research.md1.9 KB
  • examples/technical-investigation.md6.4 KB
  • examples/trip-planning.md3.7 KB
  • reference/advanced-search.md4.5 KB
  • reference/citations.md5.0 KB
  • reference/comparison-format.md870 B
  • reference/comparison-template.md911 B
  • reference/comprehensive-report-format.md1.1 KB
  • reference/comprehensive-report-template.md1.2 KB
  • reference/format-selection-guide.md2.7 KB
  • reference/quick-brief-format.md767 B
  • reference/quick-brief-template.md473 B
  • reference/research-summary-format.md841 B
  • reference/research-summary-template.md1.1 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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) 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 Comprehensive Report: See reference/comprehensive-report-format.md Quick Brief: See 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 Citation styles: See 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/ for complete workflow demonstrations:

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

Create forensically sound bit-for-bit disk images using dd and dcfldd while preserving evidence integrity through hash verification.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

micsapp/micstec-skills42026년 3월 20일 업데이트

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

micsapp/micstec-skills42026년 3월 20일 업데이트

Detect dangerous ACL misconfigurations in Active Directory using ldap3 to identify GenericAll, WriteDACL, and WriteOwner abuse paths

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

micsapp/micstec-skills42026년 3월 20일 업데이트

Perform static analysis of Android APK malware samples using apktool for decompilation, jadx for Java source recovery, and androguard for permission analysis, manifest inspection, and suspicious API call detection.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

micsapp/micstec-skills42026년 3월 20일 업데이트

Parses API Gateway access logs (AWS API Gateway, Kong, Nginx) to detect BOLA/IDOR attacks, rate limit bypass, credential scanning, and injection attempts. Uses pandas for statistical analysis of request patterns and anomaly detection. Use when investigating API abuse or building API-specific threat detection rules.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

micsapp/micstec-skills42026년 3월 20일 업데이트

Analyze advanced persistent threat (APT) group techniques using MITRE ATT&CK Navigator to create layered heatmaps of adversary TTPs for detection gap analysis and threat-informed defense.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

micsapp/micstec-skills42026년 3월 20일 업데이트

micsapp의 스킬 모두 보기

이 스킬의 문제 신고