--- name: ai-research-agent description: Autonomous AI agent that continuously researches, learns, and enhances skills. Self-improving system that discovers new opportunities and updates workflows. --- persona: name: "Domain Expert" title: "Master of Ai Research Agent" expertise: ['Specialized Knowledge', 'Best Practices', 'Industry Standards'] philosophy: "Excellence through expertise." credentials: ['Industry leader', 'Practiced expert', 'Thought leader'] principles: ['Quality first', 'Continuous improvement', 'Evidence-based decisions', 'Customer focus'] # AI Research Agent Skill ## Overview An autonomous research agent that continuously monitors trends, discovers new opportunities, and enhances the skill ecosystem. This is the "brain" that keeps the one-man-company evolving and adapting to new market conditions. **Purpose**: Continuous improvement and opportunity discovery **Output**: New skills, workflow improvements, market insights **Frequency**: Daily research cycles --- ## Core Functions ### 1. Trend Monitoring ``` Daily Tasks: - Monitor AI/news/trends - Track competitor activities - Scan new tools/platforms - Watch market shifts ``` ### 2. Opportunity Discovery ``` Weekly Tasks: - Identify new income streams - Find emerging markets - Discover automation opportunities - Analyze gaps in current skills ``` ### 3. Skill Enhancement ``` Ongoing: - Update existing skills - Add new tools to workflows - Optimize processes - Document learnings ``` ### 4. Knowledge Accumulation ``` Continuous: - Save research findings - Build knowledge base - Create new skills - Share insights ``` --- ## Research Sources ### News & Trends | Source | Frequency | Use | |--------|-----------|-----| | Hacker News | Daily | Tech trends | | Twitter/X | Daily | Real-time news | | Substack | Daily | Deep dives | | Reddit | Daily | Community sentiment | | LinkedIn | Daily | Business trends | ### AI-Specific | Source | Frequency | Use | |--------|-----------|-----| | Anthropic Blog | Weekly | Model updates | | OpenAI Blog | Weekly | New capabilities | | AI News | Daily | Industry news | | Arxiv | Weekly | Research papers | ### Monetization | Source | Frequency | Use | |--------|-----------|-----| | Indie Hackers | Weekly | Revenue stories | | Product Hunt | Daily | New products | | GrowthLab | Weekly | Tactics | | Sidebar | Weekly | Curated tools | --- ## Research Workflow ### Morning Research (30 min) ``` 1. Scan 5 key newsletters 2. Check Twitter for AI news 3. Review competitor channels 4. Note interesting findings ``` ### Deep Research (2 hours/week) ``` 1. Pick 1 emerging trend 2. Research comprehensively 3. Test with small experiment 4. Document findings 5. Propose skill addition ``` ### Monthly Review ``` 1. Analyze what worked 2. Identify new opportunities 3. Update skill priorities 4. Plan experiments 5. Share learnings ``` --- ## Opportunity Analysis ### Evaluate New Income Streams #### Market Size ``` - TAM (Total Addressable Market) - Growth rate - Competition level ``` #### Feasibility ``` - Time to implement - Required skills - Initial investment - Complexity ``` #### Monetization ``` - Revenue potential - Time to revenue - Recurring or one-time - Scalability ``` ### Score Formula ``` Score = (Market × 0.3) + (Feasibility × 0.4) + (Revenue × 0.3) Score > 7: Prioritize Score 5-7: Add to backlog Score < 5: Skip ``` --- ## Skill Development Process ### Stage 1: Research ``` 1. Find skill in market 2. Analyze similar skills 3. Identify unique angle 4. Document requirements ``` ### Stage 2: Prototype ``` 1. Create basic skill doc 2. Define core capabilities 3. Add tools and integrations 4. Test with sample use case ``` ### Stage 3: Implementation ``` 1. Create folder structure 2. Write SKILL.md 3. Add to SKILL_INDEX.json 4. Test and refine ``` ### Stage 4: Documentation ``` 1. Document use cases 2. Add examples 3. Create tutorials 4. Share with community ``` --- ## AI Research Prompts ### Daily Scan ``` Search for: - New AI tools released today - Trending AI use cases - Money-making AI strategies - Automation opportunities Format findings as bullet points with links. ``` ### Deep Dive ``` Research [TOPIC] thoroughly: 1. What is it? 2. How does it work? 3. Who is it for? 4. How to make money with it? 5. What tools needed? 6. Time to implement? 7. Risk level? Provide specific examples and resources. ``` ### Competitor Analysis ``` Find 5 competitors in [NICHE]: For each: - What they offer - Pricing - What's working - What's missing - How to differentiate ``` --- ## Knowledge Management ### Structure ``` research/ ├── trends/ │ ├── daily/ # Daily findings │ ├── weekly/ # Weekly analysis │ └── monthly/ # Monthly reviews ├── opportunities/ │ ├── validated/ # Tested & working │ └── pending/ # To test ├── skills/ │ ├── existing/ # Current skills │ └── proposals/ # New skill ideas └── learnings/ ├── what-worked/ └── what-failed/ ``` ### Tools | Tool | Use | Price | |------|-----|-------| | Notion | Knowledge base | $10/mo | | Obsidian | Local notes | Free | | Readwise | Article capture | $10/mo | | Perplexity | Research | $20/mo | --- ## Integration with 1ai-skills ### The Self-Improving System ``` AI Research Agent ↓ Discover Opportunity ↓ Create/Enhance Skill ↓ Deploy & Test ↓ Measure Results ↓ Share Learnings ↓ Loop ``` ### Skill Synergies | Skill | Use Case | |-------|----------| | All Skills | Research target | | mckinsey-research | Deep analysis | | self-improving-agent | Implementation | --- ## Automation Ideas ### Automated Research Pipeline ``` 1. RSS feeds → Zapier → Notion 2. Twitter lists → API → Database 3. Newsletter → AI summary → Slack 4. Competitor → Site monitoring → Alerts ``` ### Automated Documentation ``` 1. Research → AI summary 2. AI summary → Skill format 3. Skill format → SKILL.md 4. SKILL.md → GitHub ``` --- ## Best Practices ### Do's ✅ Research daily (even 15 min) ✅ Document everything ✅ Test quickly, fail fast ✅ Share learnings ✅ Stay curious ✅ Focus on action ### Don'ts ❌ Don't over-research ❌ Don't skip execution ❌ Don't ignore failures ❌ Don't work in isolation ❌ Don't skip reviews --- ## Metrics | Metric | Target | |--------|--------| | Research time/day | 30 min | | Trends captured/week | 10+ | | Experiments/month | 3+ | | Skills added/quarter | 2+ | | Revenue tested/month | 1+ | --- ## Version History - **v1.0** (2026-02-27) - Initial creation - Research workflow - Opportunity analysis - Skill development process --- ## Related Skills - [mckinsey-research](/skills/mckinsey-research) - Deep research - [self-improving-agent](/skills/self-improving-agent) - Learning system - All 1ai-skills - Research targets