🧠 LLM-Powered Email Extraction App
This Streamlit web app lets you upload `.eml` email files and use Anthropic Claude (via AWS Bedrock) to:
Explore
36,709 skills indexed with the new KISS metadata standard.
This Streamlit web app lets you upload `.eml` email files and use Anthropic Claude (via AWS Bedrock) to:
[](https://bolt.diy)
A toolkit for autonomous AI operations using local LLM implementations.

$ cargo install code2prompt
<img width="4856" height="1944" alt="Langfuse Overview" src="https://github.com/user-attachments/assets/5dac68ef-d546-49fb-b06f-cfafc19282e3" />
Projekt Python do automatycznej analizy danych, trenowania prostych modeli ML (regresja / klasyfikacja), wykrywania anomalii oraz wizualizacji wyników w spójnym, estetycznym stylu.
<img width="4856" height="1944" alt="Langfuse Overview" src="https://github.com/user-attachments/assets/5dac68ef-d546-49fb-b06f-cfafc19282e3" />
**Scientific A/B Testing for LLM Prompts**
This repo contains the ViaLogos Codex pack (prompts, SOPs, tools, installers) under `.vialogos/`.
- [Table of Contents](#table-of-contents)
Collection of relevant AI Driven Development Kits.
Máxima: Só reaja a sintaxe de código de programação e comentários, não responda a perguntas fora do contexto.
No description available.
(All the published system prompts are extracted by myself, except the already open sourced ones and Manus)
To make it easy for you to get started with GitLab, here's a list of recommended next steps.
(1)硬件端
[Context Engineering Is the New Prompt Engineering](https://pub.towardsai.net/context-engineering-is-the-new-prompt-engineering-11a22053c1f6)를 편역하였다.
Lipa na M-PESA online API also known as M-PESA express (STK Push/NI push) - Merchant/Business initiated C2B (Customer to Business) Payment API Java Integration
Create immersive, character-driven system prompts using live Google search data and GPT-4.
Um teleprompter simples, moderno e personalizável, ideal para apresentações, gravações de vídeo ou discursos. Feito em Electron.
> Security Scanner for LLM System Prompts
To make it easy for you to get started with GitLab, here's a list of recommended next steps.
**Documentation:** [DSPy Docs](https://dspy.ai/)