Fantasy Lineup Optimizer
- 245 installs
- 237 repo stars
- Updated July 15, 2026
- onewave-ai/claude-skills
Optimize fantasy sports lineups under salary caps and roster rules using projections, constraints, and scenario swaps for weekly contest decisions.
About
Builds fantasy sports lineup optimization workflows that ingest player projections, enforce roster and budget rules, and rank optimal combinations for daily or weekly contests.
- Salary-cap constraints
- Projection-driven picks
- Scenario comparisons
- Weekly lineup swaps
Fantasy Lineup Optimizer by the numbers
- 245 all-time installs (skills.sh)
- +5 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #615 of 2,064 Data Science & ML skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 245 |
|---|---|
| repo stars | ★ 237 |
| Last updated | July 15, 2026 |
| Repository | onewave-ai/claude-skills ↗ |
What it does
Optimize fantasy sports lineups under salary caps and roster rules using projections, constraints, and scenario swaps for weekly contest decisions.
Files
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
1. Be Specific: Focus on concrete, actionable outputs 2. Use Templates: Provide copy-paste ready formats 3. Include Examples: Show real-world usage 4. Add Context: Explain why recommendations matter 5. 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: 1. Understand user's context and goals 2. Generate comprehensive output 3. Provide actionable recommendations 4. Include examples and templates 5. Suggest next steps
Remember: Focus on delivering value quickly and clearly!
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