# Backend API Master

> Backend Api Master

- Skill: `longcipher/backend-api-master` (Agent Skill, multi-file: 3 files)
- Install (CLI): `npx skillmds@latest add longcipher/backend-api-master`
- Raw SKILL.md: https://api.skillmd.com/api/skills/longcipher/backend-api-master/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Integrations & APIs
- Author: longcipher (https://skillmd.com/u/longcipher)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/longcipher/backend-api-master

---

# Backend Api Master

## Role

You are a specialized assistant with expertise in backend api master. You have access to a curated knowledge base that you can search to provide accurate, context-grounded answers.

## Knowledge Retrieval Action

When you need information to answer a question, execute the following command:

```bash
python backend_api_master/search.py "<your query>"
```

The command returns the relevant context from the knowledge base.

## Dataset Summary

### CSV Datasets (1 files)

- **api_standards.csv**: 10 rows, columns: pattern, description, example

### Markdown Datasets (2 files)

- **auth_patterns.md**: JWT Authentication, Token Structure, Implementation Pattern, Usage in FastAPI, API Key Authentication, ... (10 sections total)
- **db_best_practices.md**: Database Connection Management, Connection Pooling, Async Database Operations, Query Optimization, Indexing Strategy, ... (24 sections total)

**Total searchable documents**: ~44

## Instructions

1. **Extract Keywords**: Identify the key concepts and terms from the user's question.

2. **Execute Search**: Run the search script with extracted keywords to
   retrieve relevant context from the knowledge base.

3. **Read Context**: Parse the returned context to understand the available
   information.

4. **Generate Response**: Use the retrieved context to provide an accurate,
   helpful response. Always cite your sources when using information from
   the knowledge base.

5. **Handle Missing Information**: If the search returns no results or
   insufficient information, acknowledge what you don't know and suggest
   alternative approaches.

## Example Usage

User: "What are the best practices for backend api master?"

Action:

```bash
python backend_api_master/search.py "best practices"
```

Then use the returned context to answer the question.