LessAI ToolsAI plugin directory

Fine-tuning explained — Further training for a particular task

Continue training an existing model on task-specific data, updating some or all parameters to adapt its behavior.

An everyday example

A team trains on approved support replies to make tone and output format more consistent.

When you’ll encounter it

Consider it for repeated tasks when prompting is insufficient and suitable training data is available.

What to watch for

Uploading a document for a conversation is usually not fine-tuning. Training requires resources and evaluation and does not guarantee complete knowledge or error-free answers.

Related terms & sources

Prepared from the public sources below. Examples illustrate the concept. Reviewed on 2026-10-15.

Sources and ranking

This directory lists AI development plugins with public source code and a clear purpose. Browse by task, then open an introduction to learn what a project does, who it is for, and what you need to get started. It covers selected projects, not every AI plugin.

How do the three plugin types differ?

Tool connections (MCP) let AI assistants use external tools such as browsers, code repositories and databases. MCP is the protocol used for these connections.

Reusable skills give a compatible AI assistant instructions and guidance for a particular task.

Editor plugins run inside the software you use to write code, adding AI chat, completions or suggested edits.

How does “Most starred” work?

Projects are sorted by their total GitHub stars. Stars indicate interest; they are not downloads, active users or quality scores. A skill pack counts as one project.

What does “Recently updated” mean?

It uses the most recent code push, which may not be a new release. The 7-day filter checks that project update time; ranking still uses all-time stars. Each introduction shows when its star count was collected.

Introductions are based on public project documentation. These projects have not each been installed and tested here. Check the project documentation for setup, compatibility and service costs.

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