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SKILL verified MIT Self-run

Backend Python Expert

skill-boshi-xixixi-agenticflow-skills-05-backend-python · by boshi-xixixi

专注于 Python 后端开发,涵盖 FastAPI、异步编程和性能优化。

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Install

$ agentstack add skill-boshi-xixixi-agenticflow-skills-05-backend-python

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
7mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

Backend Python Skills

提供 Python 后端开发的全栈能力支持。

包含的技能模块

1. [FastAPI 模板 (FastAPI Templates)](./FastAPI模板.md)

  • 核心价值: 快速构建高性能的现代 Web API。
  • 关键技术: Pydantic 验证, 依赖注入, OpenAPI 文档.
  • 使用场景: 微服务开发、API 网关构建。

2. [Python 性能优化 (Performance)](./Python性能优化.md)

  • 核心价值: 提升 Python 代码的执行效率。
  • 关键技术: Profiling, 多进程/多线程, 算法优化.
  • 使用场景: 计算密集型任务、高并发服务。

3. [异步 Python 模式 (Async Patterns)](./异步Python模式.md)

  • 核心价值: 掌握 asyncio,编写高效的非阻塞代码。
  • 关键技术: async/await, 协程管理, 异步 I/O.
  • 使用场景: I/O 密集型服务、实时通信。

4. [Python 测试模式 (Testing)](./Python测试模式.md)

  • 核心价值: 建立稳固的自动化测试体系。
  • 关键技术: Pytest, Mocking, Fixtures.
  • 使用场景: 单元测试、集成测试编写。

如何使用

  • API 开发: "请使用 FastAPI 模板帮我创建一个用户注册接口。"
  • 并发优化: "请参考异步 Python 模式,帮我优化这个爬虫脚本。"

交互式开发 (Interactive Development)

在设计架构或重构代码时,如果不确定用户的具体偏好(如框架选择、同步/异步决策),请使用 mcp-feedback-enhanced (e.g., ask_followup_question) 主动询问。如果该工具不可用,则通过对话直接询问。

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.