datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
agent-orchestration-patterns-v1
Agent-Orchestration-Patterns
Instruction-tuning / few-shot data for one skill: designing reliable multi-agent LLM
systems.
Each row poses a multi-agent design problem and answers with a tested pattern in a fixed
shape:
the pattern → when to use it → the anti-pattern it replaces.
These patterns were distilled from incidents and verified outcomes in a real autonomous
multi-agent run — load spikes from unscoped parallel agents, "compiled but hanging" work
passed as done, plugins… See the full description on the dataset page: https://huggingface.co/datasets/CatQualia/agent-orchestration-patterns-v1.datetime-regex-patternsawesome-prompt-patterns
💬 Awesome Prompt Patterns
Prompt patterns are instructions guiding AI responses for specific tasks and are defined by core contextual statements that enhance the precision and relevancy of an output from an LLM.
View more prompt patterns and techniques on GitHub.
license: cc
wordpress-gutenberg-block-patterns
WordPress Gutenberg Block Patterns
