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phuati/claude-skills-arsenal

Your Ultimate Claude Skills Library & Hub 2026 – Integrate & Organize AI Workflows

지원 대상Claude Code~Codex CLI~Cursor
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문서

phuati/claude-skills-arsenal

Your Ultimate Claude Skills Library & Hub 2026 – Integrate & Organize AI Workflows

관련 스킬

1JayPeng/doit-skill

Spec-driven TDD workflow for Claude Code

community

tajox9820/claude-certified-architect

Study for the Claude Certified Architect exam with domain guides, quizzes, and scenario practice in Claude Code

community

bambiematutinal642/clawgod

Unlock Claude Code internals with runtime patches, hidden commands, feature flag overrides, and agent tools for advanced workflows

community

mattpocock/handoff

Compact the current conversation into a handoff document for another agent to pick up.

community

github/dependabot

Comprehensive guide for configuring and managing GitHub Dependabot. Use this skill when users ask about creating or optimizing dependabot.yml files, managing Dependabot pull requests, configuring dependency update strategies, setting up grouped updates, monorepo patterns, multi-ecosystem groups, security update configuration, auto-triage rules, or any GitHub Advanced Security (GHAS) supply chain security topic related to Dependabot. For pre-commit dependency vulnerability scanning in AI coding agents via the GitHub MCP Server, this skill references the Advanced Security plugin (`advanced-security@copilot-plugins`). Use this skill when an agent needs to scan dependencies for known vulnerabilities before committing.

community

aws/ingesting-into-data-lake

Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables (migration). Default target is S3 Tables; standard Iceberg on a general purpose bucket is supported where S3 Tables is not adopted. Handles one-time loads, recurring pipelines, migrations. Triggers on: import data, load data, ingest, sync database, migrate table, move data to AWS, set up pipeline, ETL, pull from Snowflake, query BigQuery into S3, export DynamoDB, CTAS, convert to Iceberg. Do NOT use for setting up or troubleshooting Glue connections (use connecting-to-data-source), creating empty tables (use creating-data-lake-table), running queries (use querying-data-lake), finding tables by fuzzy name (use finding-data-lake-assets), catalog audit (use exploring-data-catalog), or SaaS platforms like Salesforce, ServiceNow, SAP, MongoDB, Kafka.

community