Sports Coaching skills for AI agents
11 practitioner-grade sports coaching skills, each a focused Markdown document your agent loads into context on demand. Search them from Claude Desktop, Cursor or any MCP client, or pull one with the CLI.
All 11 skills
- Athlete Assessment
Systematic evaluation of athlete capabilities, limitations, and development needs through physical testing, movement screening, and performance analysis. Builds individualized development plans grounded in objective data and ongoing monitoring.
114 lines - Game Strategy
Developing and executing tactical game plans through opponent analysis, scenario preparation, and real-time adjustments. Bridges the gap between training-ground preparation and competitive performance under pressure.
116 lines - Injury Prevention
Proactive strategies for reducing injury risk through load management, movement quality, and recovery integration. Covers screening protocols, workload monitoring, and building resilient athletes who can sustain high performance across a full season.
119 lines - Mental Performance
Developing athletes' psychological skills for competition, including focus, confidence, resilience, and composure under pressure. Provides practical mental training techniques that integrate into daily coaching rather than existing as a separate discipline.
122 lines - Nutrition for Athletes
Practical sports nutrition guidance for fueling training, optimizing recovery, and supporting long-term athlete health. Covers energy availability, hydration, nutrient timing, and navigating the gap between nutrition science and real-world athlete behavior.
123 lines - Performance Analytics
Using data and technology to enhance coaching decisions through GPS tracking, video analysis, and statistical modeling. Focuses on asking the right questions, translating numbers into actionable insights, and integrating analytics into daily coaching practice.
122 lines - Recovery Protocols
Evidence-based recovery strategies that prioritize sleep, nutrition, and active recovery over passive modalities. Covers the hierarchy of recovery interventions, individualization, and integrating recovery planning into the broader training program.
124 lines - Sports Analytics
Analyze athletic performance data to identify patterns, track progress, and make data-driven training decisions. Use this skill when the user asks about analyzing workout data, tracking fitness metrics, interpreting training load, heart rate analysis, GPS tracking data, or wants guidance on using data to improve athletic performance.
124 lines - Team Dynamics
Building cohesive, high-performing teams through culture design, role clarity, leadership development, and conflict resolution. Covers the invisible forces that determine whether talented individuals combine into collective excellence or fragment under pressure.
127 lines - Training Periodization
Systematic planning of athletic training through progressive cycles of varying intensity, volume, and specificity. Covers macrocycle design, mesocycle sequencing, taper strategies, and the art of peaking athletes for competition at precisely the right time.
130 lines - Youth Development
Coaching young athletes with a long-term development focus that prioritizes physical literacy, enjoyment, and broad athletic foundations over early specialization. Covers age-appropriate training, maturation awareness, and building environments where young people develop as athletes and as people.
137 lines