LLM-Base-Prompts
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How to install LLM-Base-Prompts?
mushroomfleet/llm-base-prompts
$git clone https://github.com/MushroomFleet/LLM-Base-PromptsIf you use this codebase in your research or project, please cite:
README.md
| 1 | # LLM-Base-Prompts |
| 2 | Built with Claude, works with other leading LLM's, Yes. |
| 3 | # ACE-HFS (Holographic Filesystem) |
| 4 | Adaptive Capacity Elicitation (ACE) |
| 5 | Study = https://www.figma.com/board/LSDHKkpABc1OXYP3Lupc5z/Adaptive-Capacity-Elicitation-Study?t=JsRMwcLb5KiMGYua-0 |
| 6 | ACE GPT Agent: |
| 7 | https://chatgpt.com/g/g-6ASmFgLNO-adaptive-capacity-elicitation |
| 8 | Holographic Filesystem (HFS) = Projected simulation hybrid CLI for the creation, modification, deletion of fragmented cognition, preventing unwanted hallucinations where identified. |
| 9 | note: Holographic filesystems are projected at runtime, so they do not exist & memory is limited by the attention window - however is viable for most tasks. |
| 10 | # image-to-video |
| 11 | These prompts are intended for use with VisionLLM's, to guide the creation of prompts based on existing images, which are then pushed into video generation. |
| 12 | # GPT4 Agents |
| 13 | Source Prompts for almost all my GPT4 agents, you can use them here: |
| 14 | https://fivebelowfive.uk/GPTstore.html |
| 15 | Each has a specific purpose ranging from Enhanced Congnition, to Story helpers and Games. |
| 16 | |
| 17 | |
| 18 | ## 📚 Citation |
| 19 | |
| 20 | ### Academic Citation |
| 21 | |
| 22 | If you use this codebase in your research or project, please cite: |
| 23 | |
| 24 | ```bibtex |
| 25 | @software{llm_base_prompts, |
| 26 | title = {LLM Base Prompts: Drift Johnsons Collection of Public system prompts, Agents and more}, |
| 27 | author = {[Drift Johnson]}, |
| 28 | year = {2025}, |
| 29 | url = {https://github.com/MushroomFleet/LLM-Base-Prompts}, |
| 30 | version = {1.0.0} |
| 31 | } |
| 32 | ``` |
| 33 | |
| 34 | ### Donate: |
| 35 | |
| 36 | [](https://ko-fi.com/driftjohnson) |
| 37 | |
| 38 | ## See Also |
| 39 | |
| 40 | - [LLM-Base-Prompts](https://github.com/MushroomFleet/LLM-Base-Prompts) — System prompts & personas |
| 41 | - [Johnsons-Narrative-Spittoon-Inversion](https://github.com/MushroomFleet/Johnsons-Narrative-Spittoon-Inversion) — Narrative generation framework |
| 42 | - [UNO-MCP](https://github.com/MushroomFleet/UNO-MCP) — Narrative enhancement MCP |
| 43 | - [Context-Karate](https://github.com/MushroomFleet/Context-Karate) — Intelligent authoring environment |
| 44 | |
| 45 | --- |
| 46 | |
| 47 | ## Support This Project |
| 48 | |
| 49 | If you found this useful, please **star the repo** — it helps others discover it! |
| 50 | |
| 51 | [](https://github.com/MushroomFleet/LLM-Base-Prompts) |
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