II.
LibraryProcess overview
Reference · livelib-process:ai-agents-conversational--prompt-engineering-workflow
prompt-engineering-workflow overview
Prompt Engineering and Optimization Workflow - Systematic process for designing, testing, and optimizing prompts including few-shot examples, chain-of-thought, self-consistency, and constitutional AI principles.
Attributes
displayName
prompt-engineering-workflow
description
Prompt Engineering and Optimization Workflow - Systematic process for designing, testing, and optimizing
prompts including few-shot examples, chain-of-thought, self-consistency, and constitutional AI principles.
libraryPath
library/specializations/ai-agents-conversational/prompt-engineering-workflow.js
specialization
ai-agents-conversational
references
- - LangSmith: https://docs.smith.langchain.com/ - PromptLayer: https://docs.promptlayer.com/ - Prompt Engineering Guide: https://www.promptingguide.ai/
example
const result = await orchestrate('specializations/ai-agents-conversational/prompt-engineering-workflow', {
projectName: 'qa-prompts',
taskType: 'question-answering',
targetModel: 'gpt-4'
});
usesAgents
- prompt-engineer
- prompt-tester
- prompt-optimizer
- version-control-developer
usesSkills
- system-prompt-templates
- few-shot-examples
- chain-of-thought-prompts
Outgoing edges
lib_applies_to_domain1
- domain:software-engineering·DomainSoftware Engineering
lib_belongs_to_specialization1
- specialization:ai-agents-conversational·Specialization
lib_implements_workflow2
- workflow:agent-evaluation-cycle·WorkflowAgent Evaluation Cycle
- workflow:prompt-engineering-iteration·WorkflowPrompt Engineering Iteration
uses_agent1
- lib-agent:ai-agents-conversational--prompt-optimizer·LibraryAgentprompt-optimizer
uses_skill1
- lib-skill:ai-agents-conversational--chain-of-thought-prompts·LibrarySkillchain-of-thought-prompts
Incoming edges
None.