prompt-annotation

To annotate agent prompts with structured XML tags, provide the prompt text and the tool wraps sections like agent identity and workflow with a defined tag taxonomy, starting with tags such as <agent-identity>.

XML tag-based prompt analysis applies a consistent taxonomy to reveal prompt sections like agent identity, workflow, and guardrails, enabling cross-project comparison by normalizing prompts to identify reusable versus workflow-bound content.

To detect missing sections and gaps in agent prompts, apply structural XML annotation to surface absent sections and extract structured artifacts for downstream tasks.

Yes, you need a defined tag taxonomy and a YAML frontmatter with name and description to execute the annotation pipeline that outputs structured metadata and visualizations.

Yes, you can extract reusable patterns from prompts across multiple agents by normalizing prompt structures through XML annotation, which distinguishes reusable content from workflow-bound content.

The best way to structure prompt annotations for downstream tasks is using an XML annotation pipeline with a defined tag taxonomy and YAML frontmatter, outputting structured metadata and visualizations.