obsidian visual skills pack

We have hosted the application obsidian visual skills pack in order to run this application in our online workstations with Wine or directly.

Quick description about obsidian visual skills pack:

LLM-TLDR is a Python-based tool designed to dramatically reduce the amount of code a large language model needs to read by extracting the essential structure and context from a codebase and presenting only the most relevant parts to the model. Traditional approaches often dump entire files into a model’s context, which quickly exceeds token limits; LLM-TLDR instead indexes project structure, traces dependencies, and summarizes code in a way that preserves semantic relevance while shrinking input size by up to 95 %. This makes queries and analysis much faster and cheaper, with dramatic token savings and latency improvements for LLM-driven development workflows. The project supports multiple programming languages and includes utilities for warming an index and then generating LLM-ready contexts or summaries of specific parts of a project.

Features:

• Structural code context extraction for LLMs
• Up to ~95 % reduction in tokens needed
• Dependency and structure tracing
• Faster LLM queries with less latency
• Supports many programming languages
• Ready-to-use CLI and indexing workflows

Categories: