القائمة
Querying, migrating, and writing relational tables inside embedded SQLite databases.
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 sqlite-databaseيبقى 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 | sqlite-database |
| description | Querying, migrating, and writing relational tables inside embedded SQLite databases. |
| allowed-tools | Read Write Edit Bash |
| license | MIT license |
| metadata | {"skill-author":"Lord1Egypt"} |
SQLite is a C-language library that implements a small, fast, self-contained, high-reliability, full-featured, SQL database engine.
Use for lightweight, zero-configuration local file databases in Python scripts or small servers.
import sqlite3
# Connect to local database file (or :memory:)
conn = sqlite3.connect("local_data.db")
cursor = conn.cursor()
# Create table
cursor.execute("CREATE TABLE IF NOT EXISTS users (id INTEGER PRIMARY KEY, name TEXT)")
cursor.execute("INSERT INTO users (name) VALUES ('Lord1Egypt')")
conn.commit()
# Query table
cursor.execute("SELECT * FROM users")
print(cursor.fetchall())
conn.close()
Perform transactional rollbacks, write triggers, use context managers, and execute vacuum operations.