| name | analytics-engine |
| description | 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.
|
| allowed-tools | ["Read","Write","Bash"] |
| produces | analytics_report |
| consumes | team_profile, player_impact_map, match_prediction, schedule |
Analytics Engine Skill
Purpose
The analytics engine is the orchestration brain. It does NOT analyze directly — it coordinates all other skills and agents, then fuses their outputs into a unified decision.
Trigger
Invoke when:
- Complex multi-skill analysis is needed
- Running the full prediction pipeline
- Coordinating parallel agent execution
- Post-match learning and model evolution
Orchestration Flow
User Query
↓
Analytics Engine (this skill)
↓ decomposes
├─→ data-provider skill → normalized data
├─→ team-analysis skill → team profiles (parallel)
├─→ player-analysis skill → player maps (parallel)
│
↓ aggregates
├─→ match-prediction skill → 5-model fusion
├─→ simulation agent → Monte Carlo
│
↓ validates
├─→ debate agent → risk critique
│
↓ stores
└─→ memory agent → evolution update
│
↓
Final Analytics Report
Supported Analysis Types
| Type | Skills Invoked |
|---|
match_prediction | team-analysis + player-analysis + match-prediction |
team_deep_dive | team-analysis + player-analysis |
tournament_outlook | all teams + schedule-fetcher + match-prediction |
player_comparison | player-analysis × N |
post_match_learning | performance-evaluator + self-learning-optimizer |
Output Schema
{
"analysis_type": "analytics_report",
"confidence": 0.0,
"model_sources": [],
"results": {
"primary_finding": "",
"supporting_analyses": [],
"risk_report": {},
"evolution_state": ""
}
}
Rules
- Coordinate, don't duplicate. Delegate to other skills.
- Parallel execution where agents are independent.
- Always validate results through debate agent before returning.
- Update memory after every analysis pipeline.
