用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/Lord1Egypt/ai-skillforge --skill sqlite-database命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
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.
基于 SOC 职业分类
正在显示 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.