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This skill provides comprehensive patterns for implementing JWT (JSON Web Token) authentication in web applications. It covers token generation, verification, access/refresh token strategy, secure sto
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npx skills add https://github.com/diegosouzapw/awesome-omni-skill --skill jwt-authentication命令会保持在同一行。复制前请横向滚动并检查完整内容。
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Token-efficient tracking for AI orchestration. CLI-first for status updates (~50 tokens), agent fallback for complex ops (~1KB). Use when: updating task status, querying blockers, creating progress files, validating phases.
AshAi extension guidelines for integrating AI capabilities with Ash Framework. Use when implementing vectorization/embeddings, exposing Ash actions as LLM tools, creating prompt-backed actions, or setting up MCP servers. Covers semantic search, LangChain integration, and structured outputs.
This skill should be used when solving hard questions, complex architectural problems, or debugging issues that benefit from GPT-5 Pro or GPT-5.1 thinking models with large file context. Use when standard Claude analysis needs deeper reasoning or extended context windows.
基于 SOC 职业分类
正在显示 SKILL.md
| id | SKL-jwt-JWTAUTHENTICATION |
| name | Jwt Authentication |
| description | This skill provides comprehensive patterns for implementing JWT (JSON Web Token) authentication in web applications. It covers token generation, verification, access/refresh token strategy, secure sto |
| version | 1.0.0 |
| status | active |
| owner | @cerebra-team |
| last_updated | 2026-02-22 |
| category | Backend |
| tags | ["api","backend","server","database"] |
| stack | ["Python","Node.js","REST API","GraphQL"] |
| difficulty | Intermediate |
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This skill provides comprehensive patterns for implementing JWT (JSON Web Token) authentication in web applications. It covers token generation, verification, access/refresh token strategy, secure storage in httpOnly cookies, token rotation, revocation, and production-ready security practices.
JWT_ACCESS_SECRET, JWT_REFRESH_SECRET, JWT_ISSUER, JWT_AUDIENCEAuthorization: Bearer <token> or cookies# Example implementation following best practices
def example_function():
# Your implementation here
pass
.env.example keys: API_KEY, DATABASE_URL (no values)| Type | Focus Area | Required Scenarios / Mocks |
|---|---|---|
| Unit | Core Logic | Must cover primary logic and at least 3 edge/error cases. Target minimum 80% coverage |
| Integration | DB / API | All external API calls or database connections must be mocked during unit tests |
| E2E | User Journey | Critical user flows to test |
| Performance | Latency / Load | Benchmark requirements |
| Security | Vuln / Auth | SAST/DAST or dependency audit |
| Frontend | UX / A11y | Accessibility checklist (WCAG), Performance Budget (Lighthouse score) |
request_iderror_rate, latency, queue_depth(ข้อกำหนดสำหรับ AI Agent ในการคิดและแก้ปัญหาเมื่อเกิดข้อผิดพลาด)