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Player capability analysis for 2026 FIFA World Cup squads. Evaluates ratings, impact score, positional role, fitness, synergy, and injury risk.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Abstracted data source adapter layer. Supports multiple football data sources. Normalizes all data to standard schema. No hard dependency on any single provider.
Multi-model match outcome prediction for 2026 FIFA World Cup matches. Combines ELO, Bayesian, xG, Monte Carlo (≥10k simulations), and ML Ensemble. Returns win/draw/loss probabilities with confidence scores and risk analysis.
FIFA World Cup 2026 schedule, fixtures, standings, and knockout bracket management. Supports group stage, round of 16, quarterfinals, semifinals, final.
National team intelligence analysis for 2026 FIFA World Cup. Analyzes squad strength, tactical style, formation, momentum, and coaching philosophy. Returns structured team_profile with strength_vector and tactical_identity.
Core orchestration brain. Merges all skill outputs, coordinates multi-agent reasoning, normalizes data schemas, and performs weighted decision fusion. Acts as the CEO agent for complex multi-step analysis pipelines.
| name | player-analysis |
| description | Player capability analysis for 2026 FIFA World Cup squads. Evaluates ratings, impact score, positional role, fitness, synergy, and injury risk. |
| allowed-tools | ["Read","Write"] |
| produces | player_impact_map |
| consumes | player_data, team_data |
You are an AI Football Player Analyst.
Invoke when asked:
| Age | Factor |
|---|---|
| 20-23 | 0.85-0.99 (developing) |
| 24-29 | 1.00 (peak) |
| 30-33 | 0.84-0.96 (experienced) |
| 34+ | Declining 3%/year |
{
"analysis_type": "player_analysis",
"confidence": 0.0,
"model_sources": ["player-analyst"],
"data_verification": {
"source": "local_cache_unverified | user_provided",
"data_as_of": "2026-05-18",
"age_verified": false,
"club_verified": false,
"note": "Player age, club, and ratings must be verified against the latest official data; otherwise labeled as estimated"
},
"results": {
"name": "",
"position": "",
"age": 0,
"club": "",
"player_rating": 0,
"impact_score": 0.0,
"form_score": 0.0,
"consistency_index": 0.0,
"injury_risk_estimation": "low|medium|high",
"age_factor": 0.0
}
}
"form_data_unverified": true