Prompt Engineering

Structured and constrained generation workflows using DSPy, Instructor, Guidance, and Outlines.

Parent repository GitHub

Type: skill category
Repository: Orchestra-Research/AI-Research-SKILLs
Readiness: Usable for guided research workflows, but framework guidance, autonomous claims, and demo results require project-specific validation
Keywords: 6

Location

Repository path

16-prompt-engineering/

Invocation

Select Prompt Engineering in the interactive installer.

Setup

Installation / activation

Prompt optimization, validated structured output, regex, grammar, or FSM generation tasks.

Keywords

prompt engineeringDSPyInstructorGuidanceOutlinesstructured output

Repository context

Orchestra-Research/AI-Research-SKILLs

MIT-licensed, cross-agent library of 98 stated SKILL.md research and engineering playbooks in 23 categories; for Claude Code it installs as individual or category skills and adds an autoresearch layer that routes literature, ideation, experimentation, analysis, artifact, and paper-writing work across domain skills.

AI researchMachine learning engineeringLarge language modelsModel trainingModel evaluationMechanistic interpretabilityInference and servingMLOps and infrastructureRetrieval-augmented generationMultimodal AIAI safety and alignmentScientific communication

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