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Prompt library for IAs

course audit

These prompts are from my other project, the Prompt Engineering for IAs course, and I've organized them by IA task category. While the modular prompts do present an overwhelming count, they reflect the tasks an IA undertakes regularly.

ia-prompt-library
├─ taxonomy
│ ├─ hierarchical-generator.md
│ ├─ polyhierarchy-analysis.md
│ ├─ faceted-classification.md
│ ├─ exploratory-pattern.md
│ ├─ refinement-pattern.md
│ ├─ taxonomy-validator.md
│ └─ balance-validator.md
├─ research-synthesis
│ ├─ card-sort-analysis.md
│ ├─ similarity-matrix-generator.md
│ ├─ category-label-synthesis.md
│ ├─ hierarchical-cluster-analysis.md
│ ├─ tree-test-analysis.md
│ ├─ survey-analysis-suite.md
│ ├─ research-validation-checkpoint.md
│ ├─ quote-extraction.md
│ ├─ pain-point-synthesis.md
│ ├─ interview-theme-analysis.md
│ ├─ cross-method-synthesis.md
│ └─ conflict-resolution.md
├─ no-code-tools
│ ├─ prompt-chain-designer.md
│ ├─ prompt-to-template-converter.md
│ ├─ prompt-documentation-template.md
│ └─ custom-gpt-instructions-generator.md
├─ ia-documentation
│ ├─ sitemap-generator.md
│ ├─ sitemap-to-mermaid.md
│ ├─ stakeholder-sitemap-views.md
│ ├─ user-flow-diagram.md
│ ├─ content-model-diagram.md
│ ├─ faceted-taxonomy-visualizer.md
│ └─ ascii-sitemap-generator.md
├─ navigation
│ ├─ navigation-generator.md
│ ├─ navigation-validator.md
│ ├─ navigation-label-optimizer.md
│ ├─ mobile-navigation-auditor.md
│ ├─ information-scent-evaluator.md
│ ├─ depth-breadth-analyzer.md
│ └─ label-variation-generator.md
├─ findability
│ ├─ title-metadata-optimizer.md
│ ├─ query-analysis.md
│ ├─ synonym-generator.md
│ ├─ seo-keyword-research.md
│ └─ faceted-search-designer.md
├─ content-modeling
│ ├─ content-type-discovery.md
│ ├─ classification-prompt.md
│ ├─ schema-generator.md
│ ├─ relationship-mapper.md
│ └─ quality-criteria.md
├─ content-audit
│ ├─ audit-framework.md
│ ├─ gap-analysis.md
│ ├─ duplicate-detection.md
│ ├─ quality-assessment.md
│ ├─ quality-pattern-analysis.md
│ ├─ standards-compliance-check.md
│ └─ multi-pass-audit-strategy.md

All prompts follow the RICE framework:

[R - ROLE]
Define who the AI should act as.
Example: "You are an information architect specializing in software documentation."

[I - INSTRUCTIONS]
Specific task with clear deliverables.
Example: "Create a 3-level taxonomy organized by user tasks."

[C - CONTEXT]
Background information and constraints.
Example: "Target audience: junior developers. Content: 80 pages of API docs."

[E - EXAMPLES] (Optional)
Format examples or sample outputs.
Example: Show desired structure format.

Try it out!

For the purpose of this demo, the simulation logic is hardcoded. If you have an OpenAI API key though, use it to test the actual prompt in action.

Card Sorting Prompt Demo

Enter your data in CSV/TSV format with the columns Participant ID, Card Item, Group Name: