Skills
Complete alphabetical index of all skills available across Context Engineering Kit plugins.
Skills by Plugin
Test-Driven Development (TDD)
Testing-first development methodology with Red-Green-Refactor cycle. More info.
test-driven-development- Introduces TDD methodology, best practices, and skills for testing using subagents.
Subagent-Driven Development (SADD)
Multi-agent task orchestration with quality gates between tasks. More info.
subagent-driven-development- Dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates.multi-agent-patterns- Design multi-agent architectures (supervisor/orchestrator, peer-to-peer/swarm, hierarchical) for complex tasks exceeding single-agent context limits.
Domain-Driven Development (DDD)
Architecture and design principles for maintainable software. More info.
software-architecture- Includes Clean Architecture, SOLID principles, and other design patterns.
Kaizen
Continuous improvement methodology with multiple analysis techniques. More info.
kaizen- Japanese continuous improvement philosophy with root cause analysis, Five Whys, PDCA cycles, and lean practices.
Git
Streamlined Git operations with advanced workflow patterns. More info.
worktrees- Use when working on multiple branches simultaneously, context switching without stashing, reviewing PRs while developing, testing in isolation, or comparing implementations across branches.notes- Use when adding metadata to commits without changing history, tracking review status, test results, code quality annotations, or supplementing commit messages post-hoc.
Customaize Agent
Prompt engineering techniques and patterns for creating effective extensions. More info.
prompt-engineering- Well-known prompt engineering techniques and patterns, includes Anthropic Best Practices and Agent Persuasion Principles.context-engineering- Deep understanding of context mechanics in agent systems: attention budget, progressive disclosure, lost-in-middle effect, and practical optimization patterns.agent-evaluation- Evaluation frameworks for agent systems including LLM-as-Judge techniques, multi-dimensional rubrics, bias mitigation, and the 95% performance finding.
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