# daveshap/ChatGPT_Custom_Instructions

Repo of custom instructions that you can use for ChatGPT

Repository: https://github.com/daveshap/ChatGPT_Custom_Instructions
Canonical: https://ross.abutalabs.com/products/chatgpt_custom_instructions
License: MIT
License Family: permissive
Archived: true
Last push: 2024-08-05T20:30:56+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 79
- inputs: {"age_days": 1115, "days_push": 758, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1367, forks 230 (observed 2026-08-28T04:04:31.405575+00:00)

## What it is
A curated collection of custom instruction (system prompt) templates for ChatGPT, each in its own file with a description. It also documents a general structure for writing your own prompts covering mission, context, rules, instructions, input, and output format.

## Use cases
- find ready-made custom instructions for ChatGPT
- learn how to write effective system prompts
- get prompt templates for structuring ChatGPT behavior
- improve ChatGPT output formatting with custom instructions
- study examples of well-organized LLM prompts

## When to choose
- you use ChatGPT and want proven custom instruction sets to copy in
- you want a simple pattern for authoring your own system prompts

## When to avoid
- you need a library or tool to programmatically manage prompts
- you use a different LLM platform with incompatible instruction formats

## Facets
- artifact type: learning-resource
- maturity: active
- function: prompt-engineering, chatbot
- domain: large-language-models, artificial-intelligence, tutorials
- platform: -
- tags: chatgpt, custom-instructions, system-prompts, prompt-collection, web-server

## Member repositories
- daveshap/ChatGPT_Custom_Instructions (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:31.405575+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 2026-08-30T04:41:07.030661+00:00, confidence not recorded.
  - readme: https://github.com/daveshap/ChatGPT_Custom_Instructions (fetched 2026-08-28T04:04:31.405575+00:00, sha aeff2b3fdd89)
- Data as of 2026-08-30T08:39:29.467469+00:00.