Language Server Protocol

Expert skill for implementing Language Server Protocol servers with full IDE feature support

509 stars

Best use case

Language Server Protocol is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Expert skill for implementing Language Server Protocol servers with full IDE feature support

Teams using Language Server Protocol should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/lsp-protocol/SKILL.md --create-dirs "https://raw.githubusercontent.com/a5c-ai/babysitter/main/library/specializations/programming-languages/skills/lsp-protocol/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/lsp-protocol/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Language Server Protocol Compares

Feature / AgentLanguage Server ProtocolStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Expert skill for implementing Language Server Protocol servers with full IDE feature support

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Language Server Protocol Skill

## Overview

Expert skill for implementing Language Server Protocol servers with full IDE feature support.

## Capabilities

- Implement JSON-RPC transport layer
- Handle document synchronization (full and incremental)
- Implement semantic tokens for syntax highlighting
- Implement completion with resolve
- Implement hover information with type signatures
- Implement go-to-definition/references/implementations
- Implement document symbols and workspace symbols
- Implement rename with cross-file support
- Implement code actions and quick fixes
- Implement signature help

## Target Processes

- lsp-server-implementation.js
- debugger-adapter-development.js
- error-message-enhancement.js
- semantic-analysis.js

## Dependencies

- LSP specification
- vscode-languageserver libraries
- tower-lsp (Rust)

## Usage Guidelines

1. **Transport**: Start with stdio transport, add TCP/websocket as needed
2. **Incremental Sync**: Implement incremental document sync for performance
3. **Caching**: Cache analysis results and invalidate on document changes
4. **Error Tolerance**: Handle malformed documents gracefully
5. **Progress**: Report progress for long-running operations

## Output Schema

```json
{
  "type": "object",
  "properties": {
    "capabilities": {
      "type": "array",
      "items": { "type": "string" }
    },
    "transportType": {
      "type": "string",
      "enum": ["stdio", "tcp", "websocket"]
    },
    "documentSync": {
      "type": "string",
      "enum": ["full", "incremental"]
    },
    "generatedFiles": {
      "type": "array",
      "items": { "type": "string" }
    }
  }
}
```

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