agency-lsp-index-engineer

Orchestrate multiple LSP clients into a unified semantic graph.

Updated Mar 22, 2026
One-click install
npx skills add https://github.com/jay6697117/agency-agents-antigravity --skill agency-lsp-index-engineer
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agency-lsp-index-engineer
Source: https://github.com/jay6697117/agency-agents-antigravity/tree/main/.agents/skills/agency-lsp-index-engineer
Command: npx skills add https://github.com/jay6697117/agency-agents-antigravity --skill agency-lsp-index-engineer

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill federates multiple Language Server Protocol clients to deliver a unified code intelligence layer across heterogeneous languages by translating LSP responses into a cohesive semantic graph.

Core Features & Use Cases

  • LSP client orchestration: simultaneously run and coordinate TypeScript, PHP, Go, Rust, and Python servers to provide consistent definitions, references, and hover data.
  • Semantic graph indexing: convert LSP results into a graph of files, symbols, and relationships to enable fast navigation and analytics.
  • Real-time updates & persistence: support incremental updates via file watchers and git hooks, with a SQLite/JSON cache for fast startup.
  • Use Case: teams with multi-language monorepos can index codebases once and query navigation, references, and symbol documentation at scale.

Quick Start

Start the LSP index-engine in your project to orchestrate language servers and build a live semantic graph.

Frequently Asked Questions about agency-lsp-index-engineer

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

FAQPage Schema
How do I unify code intelligence across multiple languages in a monorepo?▼

Orchestrating multiple Language Server Protocol (LSP) clients simultaneously translates heterogeneous LSP responses into a cohesive semantic graph for consistent navigation, references, and hover data across a monorepo.

What is LSP client orchestration for semantic graph indexing?▼

LSP client orchestration for semantic graph indexing is the process of coordinating multiple language servers to convert LSP results into a unified graph of files, symbols, and relationships, enabling fast navigation and analytics across large codebases.

How do I maintain real-time symbol navigation updates in large codebases?▼

You maintain real-time symbol navigation updates in large codebases by supporting incremental updates via file watchers and git hooks, backed by a SQLite or JSON cache for fast startup and graph consistency.

Does this LSP index engine support strict LSP 3.17 compliance and sub-100ms endpoint performance?▼

Yes, this LSP index engine satisfies requirements for strict LSP 3.17 compliance, graph consistency, and sub-100ms endpoint performance for real-time symbol navigation, hover documentation, and references.

Can I run TypeScript, Go, and Python language servers simultaneously for code intelligence?▼

Yes, you can simultaneously run and coordinate TypeScript, PHP, Go, Rust, and Python servers to provide consistent definitions, references, and hover data across heterogeneous languages within a single codebase.

What is the best way to index a multi-language codebase for references and hover documentation?▼

The best way to index a multi-language codebase for references and hover documentation is to federate LSP clients into a unified code intelligence layer, converting results into a persistent semantic graph of files, symbols, and relationships.