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Configure Vite Plus

OrganizationPopular
videojs
configure-vite-plus

Configure Vite+. Use for tasks, cache, migration, or CI.

Overview

Publishervideojs
Repositoryv10
Skill nameconfigure-vite-plus
Stars
1K
Forks
93
Bundled files
1
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.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by videojs on GitHub. Read the source before you install it.

Installation

Install the Configure Vite Plus 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.
    https://github.com/videojs/v10/tree/main/.agents/skills/configure-vite-plus
  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/videojs/v10.git /tmp/v10
mkdir -p .claude/skills
cp -r /tmp/v10/.agents/skills/configure-vite-plus .claude/skills/configure-vite-plus
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Configure Vite Plus 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 Configure Vite Plus 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 Configure Vite Plus 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.

Configure Vite+ workflows

Inspect the installed vite-plus version, root and owning-package manifests and vite.config.ts files, build/pack.ts, relevant CI workflows, and the command's current clean-run behavior before editing. Use pnpm exec vp <command> --help and installed types when they differ from online documentation.

Read references/official-guide.md only for the sections that match the work: task graphs, cache diagnosis, GitHub Actions cache, Pack, or migration.

Workflow

  1. Classify each operation: vp build for applications, vp pack for libraries, and vp run for orchestration and caching. Invoke a script or configured task as vp run <name>; bare vp <name> selects a built-in command.
  2. Preserve build boundaries. Keep historically separate packaging workflows in separate Vite+ configs unless they are genuinely variants of one build. A named pack array supports vp pack --filter <name> within one workflow; a nested vite.config.ts supports an independent workflow via vp -C <dir> pack.
  3. Define ordering in run.tasks, not in serial shell pipelines. Every configured task needs command and cannot duplicate a same-named package.json script. Use { task: 'build', from: ['dependencies', 'devDependencies'] } for declared direct workspace edges and package#task for synthetic edges such as generated CDN assets. -r selects workspace tasks; it does not replace missing task dependencies.
  4. Let the graph expose independent work to Vite+'s scheduler. Do not lower concurrency to repair missing edges. Reserve --parallel, which ignores dependencies, for independent persistent tasks such as development servers.
  5. Keep root scripts as thin selectors. Put package-specific commands, inputs, outputs, environment, and dependencies in the owning package's config.
  6. Prove local cache stability before configuring cross-run cache. Only vp run uses Vite Task caching. Run the exact task twice and require the second run to hit. Prefer automatic tracking, then add cache.input, cache.output, cache.env, or cache.untrackedEnv only from observed misses. Avoid generators that rewrite unchanged inputs.
  7. In GitHub Actions, install first, restore node_modules/.vite/task-cache, run the same vp run tasks used locally, and save only after success. Keep source and lockfile hashes out of the Actions cache key because Vite Task fingerprints task inputs.

Repository gotchas

  • Reuse packaging defaults from build/pack.ts; keep package entries, platform, and exceptional plugins local.
  • Top-level Vite resolve.alias and Pack's pack.alias serve different consumers. Do not assume one configures the other; share alias constants when both commands need identical mappings and test both paths.
  • Vite+ loads a package config before it can schedule that package's dependencies. Config-time imports from private workspace packages must be available without relying on their built output.
  • vp pack uses file-system cache tracking rather than vp build's cooperative Vite metadata. Diagnose its observed reads and writes before adding manual globs.

Example

Input: The sandbox build consumes normal workspace packages and generated HTML CDN files.

Output: A configured build task with declared workspace and generated-artifact dependencies.

ts
build: {
  command: 'vp build',
  dependsOn: [
    { task: 'build', from: ['dependencies', 'devDependencies'] },
    '@videojs/html#build:cdn',
  ],
}

Validation

Run the narrow target from a clean output state, inspect vp run -v ordering, and run it immediately again to verify cache hits and restored outputs. Then run the affected package tests/build, pnpm typecheck when types or configs changed, and pnpm check:workspace. For CI changes, verify restore occurs after install, save uses the restore step's primary key, and logs show both an Actions cache restore and Vite Task cache hits.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Configure Vite Plus AI skill do?

Configure Vite+. Use for tasks, cache, migration, or CI.

Why use Configure Vite Plus on TypingMind?

Because you install it once and use it with any model. Configure Vite Plus 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 Configure Vite Plus in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/videojs/v10/tree/main/.agents/skills/configure-vite-plus. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Configure Vite Plus?

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 Configure Vite Plus?

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

Is the Configure Vite Plus AI skill free?

It is published on GitHub by videojs. Check the repository for licensing terms. 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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