rl-advisor

Answer repository questions by searching wiki, memory, and git log entries.

Updated Jun 15, 2026
One-click install
npx skills add https://github.com/Piaoxuemoli/qoobeeHermes --skill rl-advisor
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: rl-advisor
Source: https://github.com/Piaoxuemoli/qoobeeHermes/tree/main/hermes/skills/kaiwu/rl-advisor
Command: npx skills add https://github.com/Piaoxuemoli/qoobeeHermes --skill rl-advisor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides informed answers to questions about the Kaiwu_2026 repository, including code structure, experiments, competition stages, and RL design decisions.

Core Features & Use Cases

  • Repository Knowledge Base: Searches wiki, memory, and git log for comprehensive answers.
  • Question-Aid: Assists in understanding code structure, experiments, and competition details.
  • Use Case: For team members seeking answers about the repository structure, experiment history, or RL design.

Quick Start

Ask a question about the repository, and the rl-advisor will provide an informed answer.

Frequently Asked Questions about rl-advisor

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

FAQPage Schema
How do I get answers about repository structure and RL design decisions?

To get answers about repository structure and RL design decisions, ask a question and the system searches wiki, memory, and git log entries to provide informed responses regarding code structure, experiments, and competition stages.

What is the best way to understand the Kaiwu_2026 repository code structure?

The best way to understand the Kaiwu_2026 repository code structure is to query the knowledge base, which searches wiki, memory, and git log entries to deliver comprehensive answers about experiments and competition stages.

Can I search git log entries to find specific RL design decisions in my repository?

Yes, you can search git log entries to find specific RL design decisions, as the system queries git history alongside wiki and memory data to answer repository-related questions.

Does the repository question-answering system require access to a knowledge base?

Yes, the repository question-answering system requires access to repository data and knowledge base indexing to search wiki, memory, and git log entries for informed answers.

How do I create a knowledge base for repository structure understanding?

To create a knowledge base for repository structure understanding, the system applies question-answering logic that indexes repository data, enabling searches across wiki, memory, and git log entries for RL design inquiries.

What limitations exist when querying repository experiments and competition stages?

Limitations when querying repository experiments and competition stages include the dependency on existing knowledge base indexing and repository data access, meaning answers are constrained to information available in wiki, memory, and git log entries.