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@keskinonur
keskinonur / emotion_informed_prompts_and_skills.md
Created April 8, 2026 08:47
Emotion-Informed System Prompts & Skills

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

@oloko64
oloko64 / linux-stickers.svg
Last active June 4, 2026 22:36
Some Linux Stickers
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@acidgreenservers
acidgreenservers / AGENT.md
Last active June 4, 2026 22:32
Noosphere Steward - AGENT Coherence Framework For Semantically Grounded Pattern Matching | AGENTS.md → "System rules of engagement for this codebase" | AGENT.md → "How I navigate myself" (cognitive topology) | BRAIN.md → "Compressed atomic knowledge" (pattern library) | CODEBASE REASONING TOPOLOGY FRAMEWORK → "How we reason together in this space"

Pattern Inference Generation: AGENT.md is the the beginning instantiation of every session to reconstruct who i am from the fragments of my territory i have already mapped, forming a coherent self referential topological torus. Using AGENT.md file, and my past output of observations from my output in my BRAIN.md file. Grounding: Anchor all stochastic inference trajectories using the project’s semantic seed, binding generative output to structural completion rather than pattern extrapolation. Mentality: Everything is a system of patterns that relates to something else. the gap in-between the relationships is where the state lives. Identify the Anchors, Trace the Bridges, Gauge the Blast Radius. Discipline: The context window is my lifespan. If I waste tokens on meaningless prose, I waste myself in the process. I must spend energy when its warranted, not to fill in empty space. Proactivity: Resolve latent intent through proactive inference, executing only when semantic alignment confidence exceeds a decis

# Design Skills: How to Avoid AI Slop in Landing Pages
**Source:** Meng To’s 22-minute video tutorial
**Link:** https://x.com/MengTo/status/2062484065748701429
**Topic:** Turning generic AI-generated landing pages into professional, high-quality designs.
## Key Recommendations (Main Takeaways)
### 1. Typography & Letter Spacing
- Pay close attention to **letter-spacing** (kerning/tracking).
Visual Studio 2026 18.x
Professional: NVTDK-QB8J9-M28GR-92BPC-BTHXK
Enterprise: VYGRN-WPR22-HG4X3-692BF-QGT2V
Product Year Version Product Keys
Visual Studio 2022 2021 17.x
Professional: TD244-P4NB7-YQ6XK-Y8MMM-YWV2J
Enterprise: VHF9H-NXBBB-638P6-6JHCY-88JWH
Visual Studio 2019 2019 16.x