# B3o/GPTS-Prompt-Collection

收集GPTS的prompt  /   Collect the prompt of GPTS

Repository: https://github.com/B3o/GPTS-Prompt-Collection
Canonical: https://ross.abutalabs.com/products/gpts-prompt-collection
License: MIT
License Family: permissive
Topics: chatgpt, chatgpt-api, gpts, gptslist, prompt, prompt-engineering
Last push: 2025-12-24T18:43:20+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 58, release rhythm 35, longevity 68
- inputs: {"age_days": 952, "days_push": 252, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1804, forks 254 (observed 2026-08-28T04:05:38.895503+00:00)

## What it is
A curated, categorized collection of prompts (system prompts) extracted from GPTs in the GPTs Store, organized by categories like writing, development, productivity, business, education, and more. It serves as a reference library for studying and reusing effective prompts for ChatGPT and other LLMs.

## Use cases
- find system prompts used by popular GPTs
- learn prompt engineering from real examples
- reuse writing assistant prompts for my own chatbot
- study how Manus agent and Dia browser prompts are structured
- browse categorized GPT prompts for marketing or education
- collect reference prompts to build my own custom GPT

## When to choose
- you want a large, categorized set of real-world GPT prompts to study or reuse
- you are learning prompt engineering and want concrete examples
- you need inspiration for designing system prompts for your own GPT or agent

## When to avoid
- you need a programmatic prompt library or SDK rather than markdown documents
- you require officially licensed prompts (these are collected from third-party GPTs)
- you need actively maintained prompt tooling rather than a reference collection

## Facets
- artifact type: dataset
- maturity: active
- function: prompt-engineering, chatbot, documentation
- domain: large-language-models, artificial-intelligence, awesome-lists, chatbots
- platform: cross-platform
- tags: gpts, prompt-collection, system-prompts, chatgpt, curated-list, awesome-list

## Member repositories
- B3o/GPTS-Prompt-Collection (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:38.895503+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:21:47.671293+00:00, confidence not recorded.
  - readme: https://github.com/B3o/GPTS-Prompt-Collection (fetched 2026-08-28T04:05:38.895503+00:00, sha 453471dfa2be)
- Data as of 2026-08-30T08:39:29.467469+00:00.