Backend Principle Eng Cpp Pro Max
CheckedExpertly designs, optimizes, and troubleshoots complex C++ backend systems based on advanced engineering principles.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add praxstack/skills-and-personas --skill backend-principle-eng-cpp-pro-max -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
prakharmnnit
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned prakharmnnit/skills-and-personas at 286a98fc67.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 286a98fc67
- Scanned
- 2 files, 126 lines
About this skill
What it does
This skill enables AI agents to perform backend engineering tasks using C++ with a professional level of expertise. It allows for the design, implementation, and maintenance of robust and scalable server-side systems. The agent can generate code, debug existing applications, and provide architectural guidance related to C++ backend development.
When to use it
- Developing new APIs: Generate C++ code for RESTful or gRPC APIs based on specifications.
- Debugging performance bottlenecks: Analyze C++ application logs and identify areas for optimization in server-side processes.
- Refactoring legacy codebases: Suggest improvements and rewrite sections of existing C++ backend systems to enhance maintainability and efficiency.
- Architectural design reviews: Evaluate proposed architectures for new or updated C++ based backend services.
Key capabilities
- C++ coding (professional level)
- API development
- Debugging
- Code refactoring
- Architectural guidance
Example prompts
- "Write a C++ function to handle user authentication using JWT."
- "Analyze these logs and identify the cause of high latency in our order processing service."
- "Refactor this class to improve its testability and reduce code duplication."
- "Review this architecture diagram for a microservice written in C++ and suggest improvements."
Tips & gotchas
This skill requires a solid understanding of backend engineering principles. While it can generate code, the agent's output should be reviewed by experienced developers to ensure correctness and adherence to best practices.