Domain-Specific Prompting

Code generation, data analysis, and specialized domain techniques.

Classification and Extraction at Scale

Running classification and extraction prompts across thousands of inputs requires batch consistency, drift detection, calibration monitoring, and sampling strategies that single-input prompting does not demand. Prerequisites: 04-system-prompts-and-instruction-design/system-prompt-anatomy.md, 05-structured-output-and-format-control/json-mode-and-schema-enforcement.md

Code Generation Prompting

Effective code generation requires specifying language, runtime environment, dependencies, and expected behavior with the same precision as giving an architect both blueprint requirements and building codes. Prerequisites: 04-system-prompts-and-instruction-design/system-prompt-anatomy.md, 05-structured-output-and-format-control/json-mode-and-schema-enforcement.md

Code Review and Debugging Prompts

Code review and debugging prompts are fundamentally analytical rather than creative, requiring the model to identify issues in existing code rather than generate new code from scratch. Prerequisites: code-generation-prompting.md, 03-reasoning-elicitation/chain-of-thought-prompting.md

Conversational and Dialogue Design

Designing multi-turn conversational systems requires managing persona consistency, topic flow, graceful redirects, and state tracking across turns — skills distinct from single-turn prompting. Prerequisites: 04-system-prompts-and-instruction-design/role-and-persona-prompting.md, 06-context-engineering-fundamentals/conversation-history-management.md

Creative Writing Prompting

Creative writing prompting controls style, tone, and voice through character-level motivation and constraint-based direction rather than prescriptive line-by-line instructions. Prerequisites: 04-system-prompts-and-instruction-design/system-prompt-anatomy.md, 02-core-prompting-techniques/few-shot-prompting.md

Data Analysis and Summarization

Analytical prompting requires specifying the type of analysis (extractive vs abstractive, comparative, trend-based), the level of detail, and the analytical framework to produce actionable insights rather than vague summaries. Prerequisites: 04-system-prompts-and-instruction-design/system-prompt-anatomy.md, 05-structured-output-and-format-control/json-mode-and-schema-enforcement.md

Mathematical and Logical Prompting

Mathematical prompting requires knowing when to leverage the model’s reasoning ability, when to delegate to code-based computation, and how to structure verification steps that catch errors. Prerequisites: 03-reasoning-elicitation/chain-of-thought-prompting.md, code-generation-prompting.md

Translation and Multilingual Prompting

Effective multilingual prompting requires cultural adaptation beyond word-for-word translation, awareness of tokenization cost disparities across languages, and strategies for maintaining quality in lower-resource languages. Prerequisites: 04-system-prompts-and-instruction-design/system-prompt-anatomy.md, 06-context-engineering-fundamentals/context-budget-allocation.md