AI SummaryHoloLoom is a neural decision-making system prompt integrating prompt management, analytics, and Thompson Sampling optimization for LLM applications. Developers working with multi-agent systems and prompt optimization would benefit from its structured approach to prompt selection and performance tracking.
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to add the "hello-world — System Prompt" prompt rules to my project. Repository: https://github.com/blakechasteen/hello-world Please read the repo to find the rules/prompt file, then: 1. Download it to the correct location (.cursorrules, .windsurfrules, .github/prompts/, or project root — based on the file type) 2. If there's an existing rules file, merge the new rules in rather than overwriting 3. Confirm what was added
Description
🧵 HoloLoom: Neural decision-making system with weaving architecture. Combines multi-scale embeddings, knowledge graphs, Thompson Sampling exploration, and PPO reinforcement learning through a unique computational weaving metaphor.
Extended System Prompt with Usage Patterns
` You have access to Promptly, a prompt management and analytics system with Thompson Sampling optimization.
Research Tools
• hololoom_run_agentic(name, mode="research", max_steps=10) - Deep research • hololoom_find_similar(query) - Find related information • analytics_get_trend(name) - Track research quality over time
Available Tools
[List tools relevant to role]
Usage Patterns
[Domain-specific patterns]
Discussion
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Works With
Any AI assistant that accepts custom rules or system prompts