💡 Summary
A comprehensive library of production-ready AI prompts for various applications.
🎯 Target Audience
🤖 AI Roast: “A treasure trove of prompts, but don’t expect them to write your novel for you.”
The README does not indicate any direct security risks, but reliance on external libraries could introduce vulnerabilities. Regularly audit dependencies to mitigate risks.
Useful AI Prompts - Production-Ready AI Prompt Library
488 production-ready AI prompts, all following a standardized template with validated quality gates.
Transform ChatGPT, Claude, and other AI assistants into expert consultants. Every prompt in this library passes 11 quality validation checks, ensuring consistent structure, clear deliverables, and measurable quality criteria.
What's Inside
| Resource Type | Count | Description | |--------------|-------|-------------| | AI Prompts | 488+ | Standardized expert prompts across 47 categories | | Claude Code Skills | 260+ | Auto-triggering capabilities with code examples | | Automation Hooks | 7 | Security, testing, formatting, and CI/CD automation |
Standardized Prompt Format
Every prompt follows the same validated structure:
# [Prompt Name] ## Metadata - **ID**: `category-prompt-slug` - **Version**: 1.0.0 - **Category**: Primary category - **Tags**: searchable, keywords, here - **Complexity**: simple | intermediate | advanced - **Interaction**: single-shot | conversational | iterative - **Models**: Claude 3+, GPT-4+ ## Overview 2-3 sentences explaining what the prompt does and who it's for. ## When to Use - Specific scenario 1 - Specific scenario 2 **Don't use for**: Anti-patterns where this prompt isn't appropriate --- ## Prompt <role>Expert identity with specific credentials and experience</role> <context>Situation, success criteria, and key assumptions</context> <input_handling> Required: Must-have inputs Optional: Inferred defaults when not provided </input_handling> <task> Clear steps (3-7) for what to accomplish </task> <output_specification> Format, length, and structure requirements </output_specification> <quality_criteria> Measurable standards for excellent output </quality_criteria> <constraints> Hard boundaries and limitations </constraints> --- ## Example Usage ### Input Realistic user request (20-200 words) ### Output Representative response demonstrating quality (100-600 words) ## Related Prompts Links to complementary prompts
XML Tag Structure
The prompt section uses semantic XML tags for consistent parsing:
| Tag | Purpose | Content |
|-----|---------|---------|
| <role> | Expert identity | Specific credentials, experience, reasoning approach |
| <context> | Situation framing | When used, success criteria, key assumptions |
| <input_handling> | Input specification | Required vs optional inputs with defaults |
| <task> | Process steps | 3-7 numbered action steps |
| <output_specification> | Deliverable format | Format, length, structure, must-include elements |
| <quality_criteria> | Success measures | Objective standards and anti-patterns |
| <constraints> | Hard boundaries | Non-negotiable limits on scope/format |
Quality Gates
Every prompt passes these 11 validation checks:
| Gate | Requirement |
|------|-------------|
| metadata_complete | All required fields present (ID, Version, Category, Tags, Complexity, Interaction, Models) |
| overview_concise | 3 sentences or fewer, no marketing fluff |
| role_specific | Concrete expertise defined, not "I'll help you" |
| inputs_categorized | Required vs optional distinguished with defaults |
| task_structured | 3-7 clear numbered steps |
| outputs_specified | Format + length + requirements for each deliverable |
| criteria_measurable | Objective quality standards, not vague aspirations |
| example_realistic | Input shows real usage (20-200 words) |
| example_concise | Output demonstrates pattern (100-600 words) |
| no_duplication | No repeated information across sections |
| copy_paste_ready | Prompt section is standalone and clearly delimited |
Quick Start
Using Prompts
- Browse the prompts directory or web interface
- Copy the content within the
## Promptsection (including XML tags) - Paste into ChatGPT, Claude, or your preferred AI assistant
- Provide your specific input - the prompt handles the rest
Example: Competitive Analysis
<role> You are a competitive intelligence strategist with 12+ years of experience in market analysis, having led competitive strategy for both startups and Fortune 500 companies. </role> <context> Businesses need competitive intelligence to make informed strategic decisions. Success means identifying specific opportunities that inform immediate action. </context> <input_handling> Required: Industry, top competitors, current market position Infer if not provided: Geographic scope, analysis timeline </input_handling> <task> 1. Map competitive landscape with positioning matrix 2. Profile key competitors (strengths, weaknesses, strategies) 3. Identify competitive gaps and white space opportunities 4. Create action recommendations with timelines </task> <output_specification> - Format: Strategic analysis with visual frameworks - Length: 500-800 words - Must include: Positioning map, competitor profiles, action plan </output_specification>
Prompt Categories
Business & Strategy
| Category | Prompts | Key Use Cases | |----------|---------|---------------| | Business Analysis | 45+ | Requirements engineering, process improvement | | Finance | 30+ | Financial modeling, investment analysis | | Marketing | 25+ | Campaign strategy, brand development | | Operations | 35+ | Process optimization, supply chain | | Project Management | 40+ | Risk assessment, agile methodologies |
Technology & Engineering
| Category | Prompts | Key Use Cases | |----------|---------|---------------| | Software Engineering | 50+ | Architecture design, code review | | DevOps | 25+ | CI/CD pipelines, infrastructure as code | | Security | 20+ | Threat modeling, incident response | | Data Science | 30+ | ML development, data analysis |
Emerging Technologies
| Category | Prompts | Key Use Cases | |----------|---------|---------------| | Quantum Computing | 14 | Algorithm development, circuit optimization | | Blockchain & Web3 | 15 | Smart contracts, DeFi protocols | | Biotechnology | 15 | Drug discovery, bioinformatics | | Space Economy | 24 | Satellite operations, mission planning | | Renewable Energy | 19 | Solar development, grid integration | | Healthcare Digital | 20 | Telehealth, AI diagnostics |
Creative & Communication
| Category | Prompts | Key Use Cases | |----------|---------|---------------| | Creative | 25+ | Graphic design, UX research | | Communication | 30+ | Presentations, technical writing | | Learning & Development | 20+ | Curriculum design, training programs |
Claude Code Skills (260+)
Skills auto-trigger when Claude Code detects relevant keywords:
| Domain | Skills | Examples | |--------|--------|----------| | Software Development | 35 | refactor-legacy-code, code-review-analysis | | DevOps & Infrastructure | 20 | docker-containerization, kubernetes-deployment | | Testing & QA | 15 | unit-testing-framework, e2e-testing | | Security | 15 | vulnerability-scanning, oauth-implementation | | API & Integration | 12 | rest-api-design, graphql-implementation | | Database | 12 | sql-optimization, schema-design |
See SKILLS-MATRIX.md for the complete reference.
Automation Hooks (7)
| Hook | Trigger | Purpose | |------|---------|---------| | security-scan | Pre-commit | Scan for vulnerabilities and secrets | | pre-commit-linting | Pre-commit | Code formatting enforcement | | test-runner | Pre-commit | Automated test execution | | dependency-check | Pre-commit | Dependency vulnerability audit | | auto-format | Post-save | Automatic code formatting | | session-setup | Session start | Environment initialization |
See HOOKS-LIBRARY.md for installation and configuration.
Repository Structure
useful-ai-prompts/
├── prompts/ # 488+ standardized prompts by category
│ ├── analysis/ # Competitive, data, financial analysis
│ ├── technical/ # Software, DevOps, security, data science
│ ├── business/ # Finance, marketing, operations
│ ├── blockchain/ # Web3, DeFi, smart contracts
│ ├── quantum-computing/ # Quantum algorithms, circuits
│ └── ... # 47 total categories
├── skills/ # 260+ Claude Code skills
├── hooks/ # 7 automation hooks
├── docs/ # Jekyll website (GitHub Pages)
├── .claude/skills/ # Prompt refactoring skill
│ └── prompt-refactor/ # Template spec and validation
├── PROMPT-INDEX.json # Machine-readable prompt catalog
├── SKILLS-MATRIX.md # Complete skills reference
└── HOOKS
Pros
- Extensive library of prompts across various categories
- Standardized format ensures consistency and quality
- Includes automation hooks for enhanced functionality
Cons
- May require adaptation for specific use cases
- Quality depends on user input for best results
- Limited to the scope of provided prompts
Related Skills
pytorch
S“It's the Swiss Army knife of deep learning, but good luck figuring out which of the 47 installation methods is the one that won't break your system.”
agno
S“It promises to be the Kubernetes for agents, but let's see if developers have the patience to learn yet another orchestration layer.”
nuxt-skills
S“It's essentially a well-organized cheat sheet that turns your AI assistant into a Nuxt framework parrot.”
Disclaimer: This content is sourced from GitHub open source projects for display and rating purposes only.
Copyright belongs to the original author aj-geddes.
