Lsp Maintain logo

Lsp Maintain

OrganizationPopular
shareAI-lab
lsp-maintain

Diagnose and align Kode LSP behavior with the reference CLI (plugin-based .lsp.json, stdio-only, no install menus). Use when LSP results are missing, LSP is disabled, or you need to configure plugin LSP servers without telling the user to run menu-style install commands.

Overview

PublishershareAI-lab
RepositoryKode-CLI
Skill namelsp-maintain
Stars
5.2K
Forks
771
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by shareAI-lab on GitHub. Read the source before you install it.

Installation

Install the Lsp Maintain AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/shareAI-lab/Kode-CLI.git /tmp/Kode-CLI
mkdir -p .claude/skills
cp -r /tmp/Kode-CLI/packages/builtin-skills/skills/lsp-maintain .claude/skills/lsp-maintain
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Lsp Maintain in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Lsp Maintain on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Lsp Maintain is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

LSP Maintain (Reference-aligned)

Non-negotiables (policy)

  • Do not respond with menu-style instructions like “run /lsp-maintain install” or “run /lsp-maintain doctor”.
  • Prefer executing capability changes through SlashCommand (e.g. /plugin ..., /lsp) or Edit to configuration files.
  • Keep the conversation focused: only load deeper resources if absolutely necessary.

What “LSP enabled” means in Kode

Kode’s LSP tool is enabled only when there is at least one resolved LSP server and at least one is not in error.

Step 1 — Establish facts (no guessing)

  1. Ask for the user goal (languages, monorepo vs single package, whether they already use plugins).
  2. Run /lsp via SlashCommand and read the “Configured servers” list.
  3. If there are zero servers, conclude: no LSP servers are configured (do not speculate about missing binaries).

Step 2 — Identify configuration source (plugin-only)

Kode resolves LSP servers from enabled plugins:

  • Plugin root .lsp.json (JSON, top-level record)
  • Plugin manifest field lspServers (inline record or relative file path within plugin root)

If the user needs a new server, the correct path is: enable a plugin that provides it, or add/update a plugin’s .lsp.json.

Step 3 — Apply changes through agent CLI

Prefer:

  • Use SlashCommand to manage plugins (/plugin ...) and re-check with /lsp.
  • Use Edit to update the plugin’s .lsp.json or manifest lspServers record/file.

Step 4 — Verify

  1. Re-run /lsp and confirm servers are resolved.
  2. Attempt one LSP tool call (e.g. goToDefinition) on a file extension that is mapped in extensionToLanguage.

Notes for LSP server config authoring

  • command must be an executable (avoid embedding arguments; use args).
  • Kode runs servers using stdio pipes.
  • Do not use restartOnCrash, startupTimeout, or shutdownTimeout in the config (Kode treats them as unsupported).

Frequently asked questions

What does the Lsp Maintain AI skill do?

Diagnose and align Kode LSP behavior with the reference CLI (plugin-based .lsp.json, stdio-only, no install menus). Use when LSP results are missing, LSP is disabled, or you need to configure plugin LSP servers without telling the user to run menu-style install commands.

Why use Lsp Maintain on TypingMind?

Because you install it once and use it with any model. Lsp Maintain is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Lsp Maintain in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/shareAI-lab/Kode-CLI/tree/main/packages/builtin-skills/skills/lsp-maintain. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Lsp Maintain?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Lsp Maintain?

As many as you like. As long as a model supports skills, you can use Lsp Maintain with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Lsp Maintain AI skill free?

Yes. It is published on GitHub by shareAI-lab under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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