Lsp Guided Coding

Supercharge your agent with semantic code intelligence for safer refactors, precise navigation, and zero-error edits.

Install
cmdop skills install agensi-lsp-guided-coding

LSP-Guided Coding is a skill that integrates Language Server Protocol (LSP) intelligence directly into an AI agent’s coding workflow. Rather than relying on string matching to infer symbol relationships, it gives the agent access to actual definitions, references, and hover types, enabling edits grounded in semantic understanding of the codebase.

The skill organizes agent behavior around four main capabilities. First, it uses LSP references to locate every call site affected by an API change, so refactoring operations update all relevant locations rather than just the file currently in view. Second, it runs diagnostic checks using real-time compiler feedback to surface type mismatches and unreachable code before a build is triggered. Third, it navigates to definitions across complex directory structures so the agent can trace dependencies without manual file searching. Fourth, it performs post-edit diagnostic passes to verify that a change has not broken the type graph.

This skill is oriented toward agents working in large repositories where manual prompting tends to produce hallucinated imports or missed references. By structuring LSP interaction into the agent’s workflow, it reduces broken-build cycles that result from edits made without semantic context.

No environment variables or transport configuration are listed in the published record. The skill has no exposed tool list, meaning its behavior is delivered as a workflow pattern rather than as discrete callable tools.

Use cases

  • Refactor a public API and have the agent update every call site using LSP reference lookup
  • Catch type errors and unreachable code before running a build via real-time diagnostic checks
  • Navigate to symbol definitions across nested directory structures to trace dependency chains
  • Run a post-edit diagnostic pass to confirm no type-graph breakage after a batch of changes
  • Build project context from actual definitions and hover types rather than raw file contents

When to use it

  • The agent is editing a large codebase where string-based symbol matching produces incorrect results
  • Refactoring involves API surface changes that must propagate to multiple call sites
  • The workflow requires catching syntax or type errors before a build step runs
  • Dependency navigation across complex directory structures is needed during code generation

When not to use it

  • The project has no Language Server available for the target language
  • The task involves only plain-text or non-code file editing with no symbol semantics
  • A discrete, callable tool interface is required — no tools are exposed by this skill
  • A specific package registry or installable package is needed — none is listed in the published record