GitHub user
Agent skills by davidYichengWei
- skills
- 14
- repository
- 1
Repositories by davidYichengWei
Skills by davidYichengWei, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Gives architecture design principles for system design discussions and code review: module boundaries, dependency direction, data ownership and interface rules, plus a checklist. | davidYichengWei/ | 158 | — | ~545 | Automated safety check: Pass | MIT | 6 mo ago |
| 2 | A checklist of language-neutral rules for writing and reviewing code: naming, function design, control flow, resource safety, comments and logging. | davidYichengWei/ | 158 | — | ~631 | Automated safety check: Pass | MIT | 6 mo ago |
| 3 | Chinese-language checklists for component-level design: class and module structure, public interfaces, data models, concurrency and error handling. | davidYichengWei/ | 158 | — | ~1k | Automated safety check: Pass | MIT | 6 mo ago |
| 4 | Chinese-language guide to writing and improving SKILL.md files: frontmatter rules, concise writing, progressive disclosure, common patterns and a pre-release checklist. | davidYichengWei/ | 158 | — | ~788 | Automated safety check: Pass | MIT | 6 mo ago |
| 5 | Turns mistakes you correct into proposed updates to persistent Rules and Skills so the same error does not recur in later sessions, triggered automatically or with /reflect. | davidYichengWei/ | 158 | — | ~575 | Automated safety check: Pass | MIT | 6 mo ago |
| 6 | Diagnoses compile errors, runtime exceptions, failing tests, pipeline failures and production alerts from code and logs, giving a root cause before any fix. | davidYichengWei/ | 158 | — | ~646 | Automated safety check: Pass | MIT | 6 mo ago |
| 7 | 代码文件修改的统一入口。当用户请求任何代码变更（新功能、优化、Bug 修复、重构）时必须首先调用此 skill。仅适用于代码文件（如 .cc/.cpp/.h/.go/.py 等），修改 .md 等非代码文件时不需要调用。它会评估复杂度、检查 spec.md、生成 tasks.md、并逐个任务执行。 | davidYichengWei/ | 158 | — | ~733 | Automated safety check: Pass | MIT | 6 mo ago |
| 8 | 代码评审。协调 5 个专项 reviewer subagent 对代码进行并行多维度审查。可由用户直接触发，也可由主 agent 加载后作为 Judge 执行。 | davidYichengWei/ | 158 | — | ~1.1k | Automated safety check: Pass | MIT | 6 mo ago |
| 9 | 需求澄清。只负责明确"要解决什么问题"，生成 spec.md 的前三章节（背景、目标、需求）。禁止在本阶段讨论设计方案——设计是 workflow-system-design skill 的职责。 | davidYichengWei/ | 158 | — | ~1.2k | Automated safety check: Pass | MIT | 6 mo ago |
| 10 | 系统设计。当 spec.md 前三章节（背景、目标、需求）已完整但设计章节为空时调用。按 spec.md 章节顺序逐个与用户讨论，每轮只处理一个 section。 | davidYichengWei/ | 158 | — | ~1k | Automated safety check: Pass | MIT | 6 mo ago |
| 11 | 测试生成。基于 spec.md 或被测代码，生成单元测试、集成测试、性能测试。当用户请求生成测试、TDD 模式、或 workflow-code-generation 完成后触发。 | davidYichengWei/ | 158 | — | ~580 | Automated safety check: Pass | MIT | 6 mo ago |
| 12 | 提供分布式系统设计 best practices（对应常见 fallacies）及各 SDLC 阶段 checklist。当需求涉及网络通信、多节点协调、数据一致性、故障恢复时使用。 | davidYichengWei/ | 158 | — | ~531 | Automated safety check: Pass | MIT | 6 mo ago |
| 13 | 提供性能优化方法论、设计原则和具体优化规则。在编写代码、优化性能瓶颈、进行 code review 时使用，涵盖 CPU、内存、I/O、并发等维度。 | davidYichengWei/ | 158 | — | ~824 | Automated safety check: Pass | MIT | 6 mo ago |
| 14 | 14.Std Go 提供 Go 编码规范（基于 Google Go Style Guide）。当编写或 review Go 代码（.go 文件）时使用。 | davidYichengWei/ | 158 | — | ~259 | Automated safety check: Pass | MIT | 6 mo ago |
Questions, answered from the data.
What is the best skill by davidYichengWei?
Architecture Design Principles from davidYichengWei/agentic-engineering-framework ranks first of the 14 skills by davidYichengWei listed here, with the highest score: its repository has 158 GitHub stars, its SKILL.md loads about 545 tokens and it passes the automated safety check with no findings. Next come General Coding Best Practices and Component Design Principles.
Are davidYichengWei's skills official?
None yet. All 14 skills by davidYichengWei listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.