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applied-artificial-intelligence
GitHub 创作者资料

applied-artificial-intelligence

按仓库查看 1 个 GitHub 仓库中的 11 个已收集 skills,并展示近似职业覆盖。

已收集 skills
11
仓库
1
职业领域
2
更新
2026-01-05
职业覆盖
该创作者主要覆盖的职业大类。
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Skills 分布在哪些仓库

按已收集 skill 数展示主要仓库,并显示它们在该创作者目录中的占比和职业覆盖。

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#001
claude-code-toolkit
11 个 skills7219更新于 2026-01-05
占该创作者 100%
project-setup
软件开发工程师

Initialize Claude Code framework infrastructure for any project

2026-01-05
plain-language
技术写作员

Simplification and readability techniques. Use when writing for broad audiences or simplifying complex content. Covers active voice, short sentences, jargon elimination, and accessibility principles from the Plain Language Movement.

2025-11-25
pyramid-principle
技术写作员

Hierarchical content structure - answer first, then supporting arguments, then details

2025-11-25
scqa-framework
作家与作者

Narrative structure for complex topics - Situation, Complication, Question, Answer

2025-11-25
shared-setup-patterns
软件开发工程师

Shared configuration patterns for project setup commands. Provides security hooks, Claude framework structure templates, and framework detection patterns used across multiple setup commands.

2025-11-15
api-authentication
信息安全分析师

API authentication patterns including JWT, OAuth 2.0, API keys, and session-based auth. Covers token generation, validation, refresh strategies, security best practices, and when to use each pattern. Use when implementing API authentication, choosing auth strategy, securing endpoints, or debugging auth issues. Prevents common vulnerabilities like token theft, replay attacks, and insecure storage.

2025-11-01
docker-optimization
网络与计算机系统管理员

Docker image optimization patterns including multi-stage builds, layer caching, security hardening, and size reduction techniques. Use when building Docker images, optimizing container size, improving build performance, or implementing Docker security best practices. Reduces image sizes by 70-90% and build times by 50-80%.

2025-11-01
sql-optimization
数据库管理员

SQL query optimization patterns including EXPLAIN plan analysis, index strategies, query rewriting, and N+1 query prevention. Use when optimizing slow database queries, analyzing query performance, designing indexes, or debugging database bottlenecks. Works with PostgreSQL, MySQL, SQLite, and other SQL databases. Typical improvements: 10x-1000x query speedup.

2025-11-01
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