Backend Specialist
ListedAnalyzes backend code, identifies bottlenecks, suggests optimizations, and generates documentation for improved performance.
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 prorise-cool/claude-code-multi-agent --skill backend-specialist -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
prorise-cool
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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 2 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: adaptivecards.io, api.notion.com.
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.
Hosts contacted
adaptivecards.ioundeclaredapi.notion.comundeclaredWhat it found
- .claude/skills/backend-specialist/references/cursor_rules_microsoft-teams.md:112contacts adaptivecards.io
"$schema": "http://adaptivecards.io/schemas/adaptive-card.json", - .claude/skills/backend-specialist/references/cursor_rules_notion-api.md:119contacts api.notion.com
return fetch('https://api.notion.com/v1/pages', {
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 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 prorise-cool/claude-code-multi-agent at 0dc13057c1.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- 0dc13057c1
- Scanned
- 59 files, 19,270 lines
About this skill
What it does
This skill allows AI agents to specialize in backend development tasks. It can generate code for APIs, databases, and server-side logic, enabling the creation of robust and scalable applications. The agent understands common backend frameworks and technologies, facilitating efficient problem solving and implementation.
When to use it
- API Development: Generate endpoints and associated logic for a new web application or service.
- Database Design: Create database schemas and queries based on specified requirements.
- Server-Side Logic Implementation: Develop the backend code necessary to handle user requests, process data, and interact with external services.
- Backend Refactoring: Improve existing backend code for performance, security, or maintainability.
Key capabilities
- API generation
- Database schema creation
- Server-side logic development
- Understanding of common backend frameworks and technologies
Example prompts
- "Create an API endpoint to retrieve user data from a database."
- "Design a database schema for storing product information, including name, price, and description."
- "Write the server-side code to handle user authentication using JWT tokens."
Tips & gotchas
The agent's effectiveness depends on providing clear and specific requirements. A solid understanding of backend development principles will help you formulate effective prompts and interpret the generated code.