菜单
Research topics and document findings in Notion with organized structure and sources
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | research-documentation |
| description | Research topics and document findings in Notion with organized structure and sources |
| used_by | ["market-analyst","business-analyst","product-manager"] |
The Research Documentation skill automates the process of researching topics and capturing findings in a well-organized Notion database. It streamlines research by structuring information, tracking sources, and connecting related findings.
Use this skill when you need to:
Research Topic/Question
↓
Break into Research Areas
↓
Gather Information
↓
Analyze & Synthesize
↓
Extract Key Findings
↓
Organize with Sources
↓
Create Notion Documentation
↓
Output: Research Summary
| Action | Tool |
|---|---|
| Create database | mcp__claude_ai_Notion__notion-create-database |
| Create page | mcp__claude_ai_Notion__notion-create-pages |
| Search existing | mcp__claude_ai_Notion__notion-search |
| Update page | mcp__claude_ai_Notion__notion-update-page |
Competitive Analysis
Technology Evaluation
Domain Knowledge Building
Market Research
NOTION_API_TOKEN=your_token_here
RESEARCH_DATABASE_ID=your_database_id
SOURCES_DATABASE_ID=your_sources_database_id
CITATION_FORMAT=APA
skills/public/notion/knowledge-capture/SKILL.md — For documenting discussions and insightsskills/public/notion/meeting-intelligence/SKILL.md — For research-informed meeting prepskills/public/notion/spec-to-implementation/SKILL.md — For research-based implementation planningBuilds production-grade Claude Projects and CustomGPTs, improves AI output quality using meta-thinking prompts, and architects self-improving AI systems. Use proactively when a founder wants to build a reliable AI workflow, automate a repeatable task with AI, improve the quality of AI outputs they're getting, feels stuck with generic AI responses, or wants to build internal tools powered by Claude. Trigger for "build a Claude project", "my AI outputs are generic", "how do I make Claude more specific", "build an AI workflow", "automate this with AI", or "my prompts aren't working".
One-command review pipeline. Chains CEO review → design review → eng review automatically. Surfaces only taste decisions for PD approval. Everything else runs autonomously.
Performance baseline measurement. Captures page load times, Core Web Vitals, and resource sizes. Compare before/after on every PR.
Playbook for bootstrapped and early-stage SaaS founders based on proven case studies ($0 to $5M ARR with 6 people, and creator-to-business flywheel models). Use proactively when a founder is bootstrapped or capital-efficient, needs to grow without paid acquisition, is facing a churn crisis, wants to build a freemium or usage-based model, or asks "how do I grow without VC money". Also trigger for "PLG", "inbound-led outbound", "creator-led growth", "build in public", or "how did [bootstrapped company] grow".
Real browser automation for testing, QA, and demo verification. Provides Playwright-based browser control for navigating the live app, clicking elements, filling forms, taking screenshots, and verifying visual state.
Post-deploy monitoring. After release-engineer pushes to production, canary watches the live site for errors, performance regressions, and page failures.