SuperPrompt
A collection of prompts and prompt engineering templates to better understand AI agents
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
SuperPrompt centers around enhancing comprehension of AI entities through detailed, engineered prompts and templates.
Good fit when
- When you need to better understand how AI agents process information and react in specific scenarios
- If your goal is to explore structured dialogue systems with a focus on prompt engineering for nuanced interactions
Avoid when
- In situations where immediate deployment of trained models is required without additional customization or inquiry into the AI's reasoning capabilities
- For environments that prefer out-of-the-box solutions over manual, tailored creation and testing of prompts for deeper insights into AI behavior
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (146d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
git clone https://github.com/NeoVertex1/SuperPromptSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
SuperPrompt focuses on the creation and exploration of engineered prompts aimed at enhancing comprehension of AI entities through structured dialogue scenarios.
Capability facts
No sourced capability facts yet. Facts appear after ingest scans repo manifests (Dockerfile, package.json, MCP configs).
Categories
Tags
README
SuperPrompt <div align="center" <a href="Readme JP.md" <img src="https://img.shields.io/badge/ドキュメント 日本語 white.svg" alt="JA doc"/ </a <a href="Readme.md" <img src="https://img.shields.io/badge/english document white.svg" alt="EN doc" </a </div This is a project that I decided to...
For agents
This page has a .md twin and JSON over the API.