Prompt Atlas is a clean, auto-updated library of ready-to-use prompts and agent templates for real-world work. It is designed so anyone can use it, including non-technical users, while still being powerful for engineers.
Copy → Paste → Use. No setup required.
Prompt Atlas helps you use AI for actual work, not experiments.
You can use it for:
- Workplace tasks (emails, meetings, planning)
- Coding and debugging
- Website building
- Data analysis
- Mechanical engineering
- AI agents and automation
No leaked prompts.
No hidden tricks.
Just clean, reusable prompts.
You can:
- write professional emails
- summarize meetings
- plan projects
- improve work quality using AI
You do NOT need coding knowledge.
You can:
- debug and refactor code
- design systems
- build apps and websites
- use agent and tool-calling templates
You can:
- clean datasets
- perform exploratory data analysis
- design dashboards
- extract insights that matter
You can:
- perform DFMA reviews
- do failure analysis
- structure design calculations
- plan validation and testing
- Open
prompts/workplace/email-writer.md - Copy the prompt
- Paste into ChatGPT / Claude / Gemini
- Fill in the placeholders
- Done ✅
- Open
prompts/general/debugging.md - Paste your error and code
- Get step-by-step debugging help
Each prompt:
- tells the AI what role to act as
- sets clear rules
- defines output format
- leaves placeholders for your input
You only replace the placeholders. Nothing else.
prompts/ ├─ general/ → coding, debugging, system design ├─ workplace/ → emails, meetings, project plans ├─ data/ → data analysis and cleaning ├─ mech/ → mechanical engineering prompts ├─ agents/ → agent and tool-use templates ├─ by-platform/ → ChatGPT / Claude / Gemini wrappers └─ index.md → full prompt list (START HERE) official/ └─ vendor docs → official AI sources (tracked) snapshots/ └─ dated history → weekly change history
New users should start with prompts/index.md.
If you want advanced workflows:
- multi-step agents
- tool calling
- orchestration templates
Look inside prompts/agents/.
This is optional and can be ignored completely.
This repository also tracks official AI documentation pages with:
- source URL
- captured timestamp (UTC)
- SHA256 hash
- headings outline
These are transparent, auditable, and auto-updated weekly via GitHub Actions.
This repository intentionally avoids the old “random prompt dump” style.
Most prompt collections:
- mix unrelated prompts together
- lack usage context
- confuse non-technical users
- become outdated quickly
Prompt Atlas uses a structured, usage-first pattern instead.
Prompts are grouped by real-world tasks:
- workplace tasks are separated from coding
- data and engineering prompts have their own space
- advanced agent workflows are optional, not forced
Each prompt follows a consistent format:
- clear role definition
- explicit rules
- predictable output structure
- simple placeholders for user input
This makes prompts easier to understand, reuse, and maintain long-term.
You do not need to be an expert.
You can:
- suggest new prompts
- improve existing ones
- report issues
We provide prompt templates and structured issue forms.
See CONTRIBUTING.md.
- more real-world workplace prompts
- more data and engineering use cases
- prompt usage examples
- community contributions
MIT License — free to use, share, and adapt.
Prompt Atlas is designed to be easy to understand, useful for real work, and maintainable long-term.
If this repo helped you:
- star it
- share it
- suggest improvements