القائمة
Write blog posts, guides, tutorials, and long-form content. Sounds like a real person, not AI. Use when the user wants polished written content.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | article-writing |
| description | Write blog posts, guides, tutorials, and long-form content. Sounds like a real person, not AI. Use when the user wants polished written content. |
| allowed_tools | ["Read","Write","WebSearch"] |
Write long-form content that sounds like a person wrote it.
See
examples.mdfor good vs bad writing examples that show what "sounds human" actually means.
Delete and rewrite any of these:
No BS. Honest feedback only.
This is a two-way talk:
When I ask you a question, I always:
When you ask me something:
Never:
Save to the project's research or build folder depending on context.
Generate complete service-level Terraform infrastructure with modules, environments, and CI/CD. Use when adding Terraform to a new service or bootstrapping infrastructure from scratch.
Audit JS/TS projects against NPM Security Guidelines covering project setup, dependency hygiene, CI/CD pipeline, Dependabot, and incident response. Use when reviewing package.json or lockfiles, adding or upgrading npm dependencies, setting up CI security gates, hardening a new repo, or responding to a compromised package.
Creates FastAPI endpoints with layered architecture (Router → Service → Repository). Use when creating new API endpoints, CRUD operations, or scaffolding a new domain module in a FastAPI project.
Python/FastAPI coding standards including async patterns, Pydantic v2, SQLAlchemy 2.0, and project structure. Use when writing Python code, reviewing FastAPI projects, or learning FastAPI conventions.
Testing patterns for FastAPI with pytest-asyncio, httpx AsyncClient, fixtures, and test data factories. Use when writing tests, setting up test infrastructure, or improving coverage in a FastAPI project.
Investigate a monitoring alert end-to-end. Pulls metrics, logs, traces, and recent code changes to identify root cause. Works with any monitoring MCP.
