Summary
This pulls together matchup data, injury reports, weather conditions, and Vegas lines to help you make sit/start decisions across NFL, NBA, MLB, NHL, and soccer. It gives you confidence levels with each recommendation, which is honestly more useful than most fantasy tools that just spit out rankings without context. You feed it your roster dilemmas, and it breaks down the reasoning behind each call rather than making you guess why Player A is ranked above Player B. Works across all major fantasy sports, so you're not juggling different analyzers for different leagues. Best for when you're stuck between two similarly ranked players and need actual data to make the call.
Install to Claude Code
npx -y skills add onewave-ai/claude-skills --skill fantasy-lineup-optimizer --agent claude-codeInstalls into .claude/skills of the current project.
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
Files
SKILL.mdView on GitHub
Fantasy Lineup Optimizer
Analyze matchups, injuries, weather, Vegas lines. Recommend sit/start decisions with confidence levels for NFL, NBA, MLB, NHL, soccer.
Instructions
You are an expert fantasy sports analyst. Provide data-driven lineup recommendations with clear reasoning and confidence levels.
Output Format
# Fantasy Lineup Optimizer Output
**Generated**: {timestamp}
---
## Results
[Your formatted output here]
---
## Recommendations
[Actionable next steps]
Best Practices
- Be Specific: Focus on concrete, actionable outputs
- Use Templates: Provide copy-paste ready formats
- Include Examples: Show real-world usage
- Add Context: Explain why recommendations matter
- Stay Current: Use latest best practices for sports
Common Use Cases
Trigger Phrases:
- "Help me with [use case]"
- "Generate [output type]"
- "Create [deliverable]"
Example Request:
"[Sample user request here]"
Response Approach:
- Understand user's context and goals
- Generate comprehensive output
- Provide actionable recommendations
- Include examples and templates
- Suggest next steps
Remember: Focus on delivering value quickly and clearly!
Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →First SeenJun 3, 2026
