new-analyzer

Add support for new AI coding agents by implementing analyzers in Splitrail.

216|23|Updated Jul 12, 2025
One-click install
npx skills add https://github.com/Piebald-AI/splitrail --skill new-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: new-analyzer
Source: https://github.com/Piebald-AI/splitrail/tree/main/.claude/skills/new-analyzer
Command: npx skills add https://github.com/Piebald-AI/splitrail --skill new-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps engineering teams extend Splitrail by adding support for new AI coding agents through a dedicated analyzer.

Core Features & Use Cases

  • Facilitates updating core code paths: adding an Application enum variant, implementing an Analyzer, exporting in mod.rs, registering in main, and adding tests and documentation.
  • Supports reusability and consistency by providing a standard checklist and referenceables for new analyzers.
  • Use cases include integrating Copilot-like agents, VS Code extensions, or other code-analysis tools into Splitrail's analytics pipeline.

Quick Start

Follow the checklist to implement a new analyzer for a target AI coding agent in Splitrail.

Frequently Asked Questions about new-analyzer

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

FAQPage Schema
How do I add a new AI coding agent analyzer to a Rust application?

To add a new AI coding agent analyzer in Rust, you update the Application enum variant, implement the Analyzer trait, export it in mod.rs, register it in main, and add tests with documentation.

What steps are required to integrate a VS Code extension into Splitrail's analytics pipeline?

Integrating a VS Code extension into Splitrail's analytics pipeline requires implementing a dedicated analyzer, updating core code paths, registering the analyzer, and providing test fixtures and references for consistency.

How does Splitrail support new code-analysis tooling integration?

Splitrail supports new code-analysis tooling integration by providing a standard checklist to implement analyzers, covering enum variants, analyzer implementations, exports, registration, and testing for new AI agents.

Can I use this analyzer integration approach for Copilot-like agents in Rust?

Yes, you can integrate Copilot-like agents by adding an Application enum variant, implementing the Analyzer, exporting it, and adding tests and documentation to extend Splitrail's analytics pipeline.

Do I need to write tests when adding a new analyzer to Splitrail?

Yes, adding a new analyzer to Splitrail requires providing test fixtures and references to ensure the new AI coding agent integration functions correctly within the engineering pipeline.