EntityProcess
Official@entityprocess · Sydney
Offers specialized YAML-based evaluation frameworks for benchmarking performance, refining prompt engineering, and structuring modular skill packaging for distributed systems.
Agent Skills by EntityProcess
Showing 6 vetted skills indexed across 1 GitHub repositories.
EntityProcessagentv-chat-to-eval
Convert chat conversations into AgentV evaluation YAML files.
EntityProcessagentv-eval-builder
Create and manage AgentV YAML evaluation files for AI agent performance testing.
EntityProcessagentv-trace-analyst
Analyze AgentV evaluation traces with CLI commands and jq.
EntityProcessagentv-eval-orchestrator
Orchestrate AgentV evaluations by simulating LLM responses without API keys.
EntityProcessagentv-prompt-optimizer
Iteratively refine AI prompt files against AgentV evaluation datasets.
EntityProcessskill-creator
Guide creation and packaging of AI agent skills with SKILL.md structure.
Frequently Asked Questions About EntityProcess
FAQPage SchemaWhat specific tasks can I perform using EntityProcess?▼
You can convert chat logs into structured YAML evaluation files, perform trace analysis on performance logs, refine prompt files against datasets, and package modular capabilities using the SKILL.md standard for consistent registry deployment.
Who is the target persona for these evaluation frameworks?▼
These resources are designed for machine learning engineers, prompt researchers, and technical architects responsible for validating model performance and maintaining standardized documentation for modular system components.
What are the prerequisites for running these evaluation modules?▼
Users require a local environment capable of processing YAML files and executing standard data manipulation commands. The system relies on structured evaluation datasets and specific manifest files to orchestrate performance testing and prompt refinement cycles.