file-upload-handling

aj-geddes/useful-ai-prompts · updated Apr 8, 2026

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$npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill file-upload-handling
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summary

Build secure and robust file upload systems with validation, sanitization, virus scanning, efficient storage management, CDN integration, and proper file serving mechanisms across different backend frameworks.

skill.md

File Upload Handling

Table of Contents

Overview

Build secure and robust file upload systems with validation, sanitization, virus scanning, efficient storage management, CDN integration, and proper file serving mechanisms across different backend frameworks.

When to Use

  • Implementing file upload features
  • Managing user-uploaded documents
  • Storing and serving media files
  • Implementing profile picture uploads
  • Building document management systems
  • Handling bulk file imports

Quick Start

Minimal working example:

# config.py
import os

class Config:
    MAX_CONTENT_LENGTH = 50 * 1024 * 1024  # 50 MB
    UPLOAD_FOLDER = 'uploads'
    ALLOWED_EXTENSIONS = {'txt', 'pdf', 'png', 'jpg', 'jpeg', 'gif', 'docx', 'doc'}
    UPLOAD_DIRECTORY = os.path.join(os.path.dirname(__file__), UPLOAD_FOLDER)

# file_service.py
import os
import mimetypes
import hashlib
import secrets
from werkzeug.utils import secure_filename
from datetime import datetime
import magic
import aiofiles

class FileUploadService:
    def __init__(self, upload_dir, allowed_extensions, max_size=50*1024*1024):
        self.upload_dir = upload_dir
        self.allowed_extensions = allowed_extensions
        self.max_size = max_size
        self.mime = magic.Magic(mime=True)
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide Contents
Python/Flask File Upload Python/Flask File Upload
Node.js Express File Upload with Multer Node.js Express File Upload with Multer
FastAPI File Upload FastAPI File Upload
S3/Cloud Storage Integration S3/Cloud Storage Integration

Best Practices

✅ DO

  • Validate file extensions and MIME types
  • Check file size before processing
  • Use secure filenames to prevent directory traversal
  • Store files outside web root
  • Implement virus scanning
  • Use CDN for file delivery
  • Generate signed URLs for direct access
  • Log file upload/download events
  • Implement access control checks
  • Clean up temporary files

❌ DON'T

  • Trust user-provided filenames
  • Store files in web-accessible directories
  • Allow arbitrary file types
  • Skip virus scanning for uploaded files
  • Expose absolute file paths
  • Allow unlimited file sizes
  • Ignore access control
  • Use predictable file paths
  • Store sensitive metadata in filenames
  • Forget to validate file content
how to use file-upload-handling

How to use file-upload-handling on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add file-upload-handling
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill file-upload-handling

The skills CLI fetches file-upload-handling from GitHub repository aj-geddes/useful-ai-prompts and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/file-upload-handling

Reload or restart Cursor to activate file-upload-handling. Access the skill through slash commands (e.g., /file-upload-handling) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.551 reviews
  • Ganesh Mohane· Dec 24, 2024

    Registry listing for file-upload-handling matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Li Ghosh· Dec 20, 2024

    file-upload-handling has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Dev Harris· Dec 16, 2024

    Keeps context tight: file-upload-handling is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Li Desai· Dec 16, 2024

    file-upload-handling fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Yash Thakker· Nov 23, 2024

    file-upload-handling reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Sakshi Patil· Nov 15, 2024

    Keeps context tight: file-upload-handling is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Diya Haddad· Nov 11, 2024

    Solid pick for teams standardizing on skills: file-upload-handling is focused, and the summary matches what you get after install.

  • Amelia Dixit· Nov 7, 2024

    Registry listing for file-upload-handling matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Amelia Kapoor· Oct 26, 2024

    Useful defaults in file-upload-handling — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Dhruvi Jain· Oct 14, 2024

    We added file-upload-handling from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

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