القائمة
Uploading, downloading, and managing static file assets in Amazon Web Services S3 Buckets using Boto3.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/Lord1Egypt/ai-skillforge --skill aws-s3-storageيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
Implementing WCAG accessibility guidelines, semantic HTML5, and screen reader ARIA roles.
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.
استنادا إلى تصنيف SOC المهني
عرض SKILL.md
| name | aws-s3-storage |
| description | Uploading, downloading, and managing static file assets in Amazon Web Services S3 Buckets using Boto3. |
| allowed-tools | Read Write Edit Bash |
| license | MIT license |
| metadata | {"skill-author":"Lord1Egypt"} |
Amazon S3 (Simple Storage Service) is an object storage service offering industry-leading scalability, data availability, security, and performance.
Use to store persistent user media assets, database backups, or generated PDFs securely.
import boto3
s3 = boto3.client('s3')
def upload_file(file_name, bucket_name):
# Upload local file
s3.upload_file(file_name, bucket_name, file_name)
print(f"Uploaded {file_name} successfully.")
Create S3 Presigned URLs for secure temporary user downloads, set up bucket lifecycle policies, and manage ACL access permissions.