Andrew Yim
341d5f5a5b
Custom Skills (ourdigital-custom-skills/): - 00-ourdigital-visual-storytelling: Blog featured image prompt generator - 01-ourdigital-research-publisher: Research-to-publication workflow - 02-notion-organizer: Notion workspace management - 03-research-to-presentation: Notion research to PPT/Figma - 04-seo-gateway-strategist: SEO gateway page strategy planning - 05-gateway-page-content-builder: Gateway page content generation - 20-jamie-brand-editor: Jamie Clinic branded content GENERATION - 21-jamie-brand-guardian: Jamie Clinic content REVIEW & evaluation Refinements applied: - All skills converted to SKILL.md format with YAML frontmatter - Added version fields to all skills - Flattened nested folder structures - Removed packaging artifacts (.zip, .skill files) - Reorganized file structures (scripts/, references/, etc.) - Differentiated Jamie skills with clear roles 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
63 lines
1.9 KiB
Markdown
63 lines
1.9 KiB
Markdown
# Example: Market Research
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**User Request**: "Research the current state of AI coding assistants market and create a summary document in Notion"
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## Workflow
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### 1. Search
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```
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Notion:notion-search
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query: "AI coding assistants market"
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```
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Found 3 relevant pages across Engineering, Strategy, and Product teamspaces.
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### 2. Fetch & Analyze
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```
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Notion:notion-fetch (3x)
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```
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Extracted market size, competitive landscape, technology trends from source pages.
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### 3. Create Documentation
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```
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Notion:notion-create-pages
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```
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## Output (Condensed)
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```markdown
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# AI Coding Assistants Market Research - Oct 2025
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## Executive Summary
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The AI coding assistant market is experiencing 150%+ YoY growth. GitHub Copilot dominates with 60% share, but specialized tools are gaining traction in specific niches.
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## Key Findings
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### Market Size and Growth
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$800M in 2024 → $2.5B projected by 2026. Developer adoption: 23% (2023) → 47% (2024).
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Source: <mention-page url="...">Market Trends Q3 2025</mention-page>
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### Competitive Landscape
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- GitHub Copilot: 60% (strong IDE integration)
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- Cursor: 15% (rapid growth, full IDE)
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- Tabnine: 10% (enterprise, on-premise)
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- Cody: 5% (codebase-aware)
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- CodeWhisperer: 8% (AWS integration)
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Source: <mention-page url="...">AI Tools Competitive Analysis</mention-page>
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### Technology Trends
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Key differentiators: context awareness, customization, multi-modal interfaces, code verification.
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Source: <mention-page url="...">Developer Tools Landscape</mention-page>
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## Next Steps
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1. Monitor Cursor growth and feature releases
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2. Evaluate Cody's codebase-aware capabilities
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3. Document enterprise security/compliance requirements
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4. Track pricing trends
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```
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## Key Takeaways
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- Found relevant pages across multiple teamspaces
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- Synthesized competitive, market, and technical perspectives
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- Used proper citations linking to source pages
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- Created actionable recommendations
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