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rlcoach

Analyze local Rocket League replay data and generate coaching prescriptions via the RLCoach API.

1|Updated Sep 8, 2025
Search Tags:#coaching#data-driven#rocket-league#replay-analysis#local-analysis#performance-analytics
One-click install
npx skills add https://github.com/treygoff24/rlcoach --skill rlcoach
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rlcoach
Source: https://github.com/treygoff24/rlcoach/tree/main/skills/rlcoach
Command: npx skills add https://github.com/treygoff24/rlcoach --skill rlcoach

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Solve coaching challenges for Rocket League players by turning local replay data into evidence-based guidance, removing guesswork and enabling targeted improvement.

Core Features & Use Cases

  • Evidence-based coaching derived from local replay data using the RLCoach API to surface actionable insights.
  • A four-phase coaching loop (Analysis, Diagnosis, Comparison, Prescription) that structures coaching sessions and prescription of practice.
  • Offline, self-contained workflow that runs without cloud services and outputs JSON/Markdown dossiers for progress tracking.
  • Extensible architecture with pluggable parsing, per-game analysis, and exportable reports to support dashboards and reviews.

Quick Start

Install rlcoach locally, feed it a replay, and get a personalized coaching plan with actionable recommendations.

Frequently Asked Questions about rlcoach

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get data-driven coaching from local Rocket League replays?▼

Local Rocket League replay analysis delivers data-driven coaching by running replays through a four-phase loop: Analysis, Diagnosis, Comparison, and Prescription, generating actionable insights without cloud services.

Can I track Rocket League performance progression offline?▼

You can track performance progression offline using a self-contained workflow that outputs JSON and Markdown dossiers, allowing you to review historical performance analytics and coaching prescriptions locally.

How does replay analysis create a personalized practice plan?▼

Replay analysis creates a personalized practice plan by validating gameplay observations against the RLCoach API, diagnosing weaknesses, and prescribing targeted training tasks across different playlists.

Do I need cloud services to run Rocket League replay analysis?▼

No cloud services are required to run replay analysis. The workflow operates entirely offline and self-contained, ensuring your local replay data remains private while generating performance reviews.

What format are Rocket League coaching reports exported in?▼

Coaching reports are exported in JSON and Markdown dossier formats, enabling seamless integration into existing dashboards or direct review for progression tracking and performance evaluation.

How do I analyze my Rocket League replays for evidence-based improvement?▼

Analyzing Rocket League replays for evidence-based improvement involves feeding local replay files into the system, which structures the evaluation into Analysis, Diagnosis, Comparison, and Prescription phases to remove guesswork.

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