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>
1.9 KiB
1.9 KiB
Example: Market Research
User Request: "Research the current state of AI coding assistants market and create a summary document in Notion"
Workflow
1. Search
Notion:notion-search
query: "AI coding assistants market"
Found 3 relevant pages across Engineering, Strategy, and Product teamspaces.
2. Fetch & Analyze
Notion:notion-fetch (3x)
Extracted market size, competitive landscape, technology trends from source pages.
3. Create Documentation
Notion:notion-create-pages
Output (Condensed)
# AI Coding Assistants Market Research - Oct 2025
## Executive Summary
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.
## Key Findings
### Market Size and Growth
$800M in 2024 → $2.5B projected by 2026. Developer adoption: 23% (2023) → 47% (2024).
Source: <mention-page url="...">Market Trends Q3 2025</mention-page>
### Competitive Landscape
- GitHub Copilot: 60% (strong IDE integration)
- Cursor: 15% (rapid growth, full IDE)
- Tabnine: 10% (enterprise, on-premise)
- Cody: 5% (codebase-aware)
- CodeWhisperer: 8% (AWS integration)
Source: <mention-page url="...">AI Tools Competitive Analysis</mention-page>
### Technology Trends
Key differentiators: context awareness, customization, multi-modal interfaces, code verification.
Source: <mention-page url="...">Developer Tools Landscape</mention-page>
## Next Steps
1. Monitor Cursor growth and feature releases
2. Evaluate Cody's codebase-aware capabilities
3. Document enterprise security/compliance requirements
4. Track pricing trends
Key Takeaways
- Found relevant pages across multiple teamspaces
- Synthesized competitive, market, and technical perspectives
- Used proper citations linking to source pages
- Created actionable recommendations