Curated prompts for [Aristotle](https://aristotle.science/) by Autopoiesis Sciences. Each prompt is designed for a specific Aristotle model and includes enough context for Aristotle's pre-query system to classify the research domain correctly.

Feb 21, 2026

Coding

PromptBeginner5 minmarkdown

genai_extract_system_prompt

This page explains how to use the genai_extract_system_prompt function in APL.

Feb 21, 2026

Find agent skills by outcome

**Decisions**: PostgreSQL + JSONB

**Active**: TASK-001-03 inventory CRUD API (GET/POST done

**Next**: Complete PUT/DELETE endpoints

- **Project-Scale Adaptation**: For full project migrations (Case 3)

- **Rule Preservation**: When rules/protocols were established during session

- **Assumption Validation**: Mark assumptions as validated

(... sections continue: Reusable Components

- **Universality**: Structure must be interpretable by any AI platform (ChatGPT

- Patterns: Prompt chaining

- Trigger: Every commit

- InventorySubAgent

- Functions: PR feedback

- All actions AI-driven: code generation

Mitigation: Implement exponential backoff

(Input context: Entire project repository with SDLC

Continue pricing scraping automation. 18 sites remaining: [bestbuy.com

- Completed: 32/50 sites successfully scraped (2

- Blocked: Rate limited on domains: amazon.com

- Extract: product name

- Pending: Technical architecture

- AI coaching must feel conversational

Given this context artifact for FitTrack Pro app planning

Aristotle Prompts for ModelCypher Research

genai_extract_system_prompt

Decisions: PostgreSQL + JSONB

Active: TASK-001-03 inventory CRUD API (GET/POST done

Next: Complete PUT/DELETE endpoints

- Project-Scale Adaptation: For full project migrations (Case 3)

- Rule Preservation: When rules/protocols were established during session

- Assumption Validation: Mark assumptions as validated

- Universality: Structure must be interpretable by any AI platform (ChatGPT