AI Agent Instructions for Smart Contract Auditing to generate triaged, industry grade report findings, code locations, pocs, attacker story flow graphs and more
- Updated
Oct 13, 2025
AI Agent Instructions for Smart Contract Auditing to generate triaged, industry grade report findings, code locations, pocs, attacker story flow graphs and more
Smart code context extractor for AI assistants
Your ultimate cheat sheet for becoming a prompt engineering wizard! ✨
Production-ready of prompt engineering templates across content, code, RAG, evaluation, safety, L10n, PM, and more.
A collection of system prompts and AI kernels for use with large language models.
A Beautiful, Cinematic Prompt Engineering Studio
About AIプロンプトの効率的な管理と活用を目的としたリポジトリです。
A framework to move beyond simple prompting towards defining *how* the LLM should structure its internal processing, access its latent knowledge, and apply specific heuristics or constraints when dealing with a particular subject matter or task.
Expose Rhetorical Dodges: Prompt toolkit vs. performative complexity—refute claims that 'nuance' excuses evading models, stats, or core insights.
A comprehensive suite of tools, built to liberate science by making the creation, evaluation, and dissemination of research more transparent, affordable, and efficient.
Professional prompt engineering toolkit for academic research using LLMs. 10 research phases. Bilingual EN/HU.
Templates for Prich CLI tool
High-performance retrieval engine for unstructured data
A powerful CLI tool for managing AI prompts with modern features.
UX portfolio featuring data-informed, human-centered projects that improved adoption, efficiency, and user trust across AI, education, and content platforms.
Research project exploring the intersection of AI-assisted development and version control. How should we preserve the context of LLM interactions that generate code?
Modular prompt system for AI-powered FFmpeg workflows: safe, flexible, production-ready
A comprehensive corpus of interconnected texts and protocols designed as a conceptual stress-test for advanced AI.
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