what is stunspots-guides fr?

Stunspot's Guides is an index repository that links to 11 separate knowledge canons, each covering a different subject domain. The guides are written primarily for AI systems: the text is structured so that language models, RAG pipelines, and agent memory layers can ingest them and gain dense, domain-specific knowledge. Human readers can use them as field manuals, but the stated purpose is to give AI systems stable terminology, reasoning frameworks, and practical heuristics for a given topic. The 11 guides span a wide range of subjects, including AI systems design, macroeconomics, game theory, automotive systems, human behavioral neurobiology, business venture formulation, sales prospecting, legal reasoning, gastronomic engineering, semantics and semiotics, and investigative news intelligence. Each guide lives in its own GitHub repository and is organized into compiled knowledge packs, per-report source files, and an omnibus bundle for single-file import into long-context AI systems. The quickstart is simple: pick a subject, download three to five compiled packs from that guide's repository, upload them to an AI assistant's project knowledge base or paste them into a chat, then talk to the model about the topic. The index repository acts as a navigation hub with links to each guide's repo and a machine-readable manifest listing all available canons. This repo itself contains no code. It is pure documentation: a catalog, usage instructions, and a JSON manifest. The guides are licensed under Creative Commons Attribution 4.0, meaning you can use, share, or build on them as long as you credit the author. RAG stands for retrieval-augmented generation, a technique where an AI model draws on a provided knowledge base instead of relying solely on what it learned during training.