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error-handling-fundamentals
Auto-invoke when reviewing try/catch blocks, API error responses, async operations, or user feedback patterns. Enforces graceful degradation and meaningful error messages.
exa-cli
使用 Exa 搜索与代码上下文命令行进行信息检索与编程资料检索。适用于需要从实时网页获取资料、定位权威来源、或查询具体代码示例/库用法的任务(如技术调研、API 使用方式确认、示例代码查找)。
exa-research
Comprehensive research skill using Exa AI tools for web search and code context retrieval. Use when conducting research on technologies, finding code examples, discovering latest tools, or gathering comprehensive information on any topic. Combines web search for articles/news with code search for implementation examples.
example-skill
This skill should be used when demonstrating skill structure and format.
example-skill
This skill should be used when the user asks to "demonstrate skills", "show skill format", "create a skill template", or discusses skill development patterns. Provides a reference template for creating Claude Code plugin skills.
example-skill
Expert at performing task X automatically. Auto-invokes when the user wants to do Y, needs help with Z, or encounters situation W.
example-skill
Expert at performing task X automatically. Auto-invokes when the user wants to do Y, needs help with Z, or encounters situation W.
example-skill
An example skill demonstrating the basic structure. Use when user asks about examples or templates.
executing-plans
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Enact Examples
Code quality score from 0-100
executing-epic-workflow
Execute systematic feature development using EPIC methodology (Explore, Research, Plan, Validate, Implement, Review, Iterate). Use when building features, implementing complex tasks, or following structured development workflows. Delegates exploration, research, planning, validation, and review to specialized agents.
execution-engine-analysis
Analyze control flow, concurrency models, and event architectures in agent frameworks. Use when (1) understanding async vs sync execution patterns, (2) classifying execution topology (DAG/FSM/Linear), (3) mapping event emission and observability hooks, (4) evaluating scalability characteristics, or (5) comparing execution models across frameworks.