Install
$ agentstack add skill-boshi-xixixi-agenticflow-skills-05-backend-python ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →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.
- Author: boshi-xixixi
- Source: boshi-xixixi/agenticflow-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.