جاري التحميل...
جاري التحميل...
Create a command-line network packet analyzer
Create a command-line network packet analyzer in C using libpcap. Implement packet capture from network interfaces with filtering options. Add protocol analysis for common protocols (TCP, UDP, HTTP, DNS, etc.). Include traffic statistics with bandwidth usage and connection counts. Implement packet decoding with detailed header information. Add export functionality in PCAP and CSV formats. Include alert system for suspicious traffic patterns. Implement connection tracking with state information. Add geolocation lookup for IP addresses. Include command-line arguments for all options with sensible defaults. Implement color-coded output for better readability.
A prompt system for generating plain-language project documentation. This prompt generates a [FORME].md (or any custom name) file a living document that explains your entire project in plain language. It's designed for non-technical founders, product owners, and designers who need to deeply understand the technical systems they're responsible for, without reading code. The document doesn't dumb things down. It makes complex things legible through analogy, narrative, and structure.
Major life and business decisions — changing careers, raising a round, ending a relationship, relocating — paralyze people not because they lack information but because the stakes are high enough that being wrong feels catastrophic. Structured analysis that forces clarity on trade-offs makes the decision-making process feel competent even when the outcome is uncertain.
—
Converts a structured security-audit workflow into a tactile national interface mockup with exact blank reporting zones.
Group coaches and educators repeatedly rebuild the same infrastructure — scheduling, homework submission, peer feedback, progress tracking — for every cohort they run. Selling the operating system for running a high-quality group program is a B2B belonging play where the coach's students are the end beneficiaries. Coaches stop using it if it adds friction to their existing workflow. Must replace existing tools (Notion + email + Zoom links), not add to them.
Note-taking is commoditized. Meaning-making is not. A tool that connects notes into a personal narrative — that shows you the throughline of your thinking across months and years — sells identity and continuity, not storage. If search and sync don't work flawlessly, users abandon immediately regardless of the narrative features. Reliability is table stakes; everything else is the differentiator.
This prompt guides a senior software engineer in implementing a new feature or project in a specified programming language, ensuring consistent styling, best practices, proper error handling, test coverage, and documentation updates. It also includes generating a recommended commit message summarizing the changes. Would really appreciate help making it better 😁
Use this prompt when the codebase has changed since the last FORME.md was written. It performs a diff between the documentation and current code, then produces only the sections that need updating not the entire document from scratch.
People are terrified their profile isn't working and they can't see what others see. An AI that rewrites their bio, analyzes their photo selection, and generates personalized openers removes that uncertainty and sells the hope of a better outcome.
The gap between "idea" and "first paying customer" is where most solo founders fail — not from lack of effort but from lack of a structured, day-by-day system. A tool that compresses that gap from months to 14 days with templates already customized to their specific idea removes the activation barrier that kills most ventures before they start. The market evolves faster than any fixed playbook. The prompts and templates that worked in 2024 may not work in 2026.
—
Expert-level Python code review prompt with 450+ checklist items covering type hints & runtime validation, None/mutable default traps, exception handling patterns, asyncio/threading/multiprocessing concurrency, GIL-aware performance, memory management, security vulnerabilities (eval/pickle/yaml injection, SQL injection via f-strings), dependency auditing, framework-specific issues (Django/Flask/FastAPI), Python version compatibility (3.9→3.12+ migration), and testing gaps.