Python SDK for dataset generation on LightningRod platform ⚡
-
Updated
Mar 20, 2026 - Python
Python SDK for dataset generation on LightningRod platform ⚡
Template-aware development workflow plugin for Claude Code.
A powerful Model Context Protocol (MCP) server and Omni-AST engine. It empowers AI agents to seamlessly parse complex codebases, execute secure cross-project operations, and dynamically fetch token-optimized rules.
Fast BPE tokenizer with guaranteed perfect text reconstruction. 2x faster than tiktoken at encoding/decoding while preserving all whitespace and formatting.
A reasoning framework plugin for Claude Code that helps LLMs catch distributed system bugs before they reach production.
Zero-dependency, deterministic MCP server implementation. Rejects "magic" decorators for rigid Pydantic enforcement and explicit architectural control.
Session state persistence for AI systems. MCP server providing crash recovery, decision registry, and context compression — so AI assistants pick up exactly where they left off.
Python toolkit and JSON-first CLI to fetch YouTube channel top videos and transcripts via YouTube Data API v3.
Context composition engine for AI systems. Builds structured prompt payloads from Markdown artifacts and renders them for OpenAI, Anthropic, and agent frameworks.
VibeCode creates cryptographically verified Digital Twin snapshots—immutable PDFs that serialize entire codebases with full restoration. Powered by large-context LLMs, it combines multi-agent workflows (file selection, context generation, tool orchestration) with semantic RAG, security quarantine, and bidirectional MCP integration. Code as data.
Add a description, image, and links to the llm-tooling topic page so that developers can more easily learn about it.
To associate your repository with the llm-tooling topic, visit your repo's landing page and select "manage topics."