Repository Structure

auto-slacker/
├── context-garden/
│   ├── github-pages-mermaid.md
│   └── README.md
│
├── distillery/
│   ├── structure_example/
│   │   └── setup.md
│   └── README.md
│
├── llm-lore/
│   ├── examples/
│   │   └── forgetting.md
│   ├── llm-is.md
│   ├── llm-is-not.md
│   └── README.md
│
├── prompt-vault/
│   ├── bad/
│   │   └── example1.md
│   ├── good/
│   │   ├── example1.md
│   │   ├── example2.md
│   │   └── example3.md
│   ├── repeated-prompts.md
│   └── README.md
│
├── rubber-duck-brain/
│   └── README.md
│
├── script-kiddies/
│   └── README.md
│
└── token-wisdom/
    └── README.md

Directory Purposes

context-garden/

Specific factual context and tidbits for execution. Information you want to remember next time you work on something. Technical facts that LLMs might not know or get wrong.

distillery/

Refined workflows and polished techniques. Where messy trial-and-error becomes clean, repeatable process. Complete examples with real inputs/outputs.

llm-lore/

Overarching knowledge ABOUT LLMs as a technology. Fundamental understanding of what LLMs are and aren’t. Core principles and mental models for working with them effectively.

prompt-vault/

Battle-tested prompts that actually work. Prompts that have graduated from “I tried this once” to “I’ve used this 50 times and it still works.” Includes both good and bad examples with analysis.

rubber-duck-brain/

Problem-solving patterns and debugging approaches. The LLM as your rubber duck - techniques for articulating problems clearly and getting unstuck.

script-kiddies/

Scripts, meta-structure, and the recursive art of generating instructions for generating instructions. Letting LLMs organize themselves through subagent orchestration.

token-wisdom/

Optimization tips, tricks, and techniques. Knowing when optimization actually matters - when spending tokens is cheaper than spending time optimizing.