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dsh-mattpocock-skills

工作流 更新于 2026.08.20

在终端中运行以下命令:

dsh plugin install GongYuanCaiJi/dsh-mattpocock-skills

将以下提示词粘贴到 DeepSeek Harness 对话框中:

在 DeepSeek Harness 中执行 dsh plugin install GongYuanCaiJi/dsh-mattpocock-skills 即可安装,源码地址为 https://github.com/GongYuanCaiJi/dsh-mattpocock-skills

插件介绍

The most common pitfall of AI-assisted coding is the lack of structured engineering discipline: the model either guesses or waits for you to re-prompt every round. This plugin ports 25 battle-tested engineering and productivity skills verbatim into DeepSeek Harness, covering TDD red-green loops, two-axis code review, stress-test questioning, requirement-to-spec and requirement-to-ticket workflows, domain modeling, codebase design, and bug diagnosis on the engineering side, plus grilling, teach, handoff, and writing-for-agents on the productivity side. The model loads a full structured workflow when a task matches, instead of starting from scratch every turn.

All 76 skill files are byte-identical to the upstream release, with hashes pinned and verifiable via a simple diff command. There are zero runtime dependencies and no build scripts, and skills load lazily so there is no boot-time cost. You can let the model auto-match a skill during a session, or invoke one explicitly by starting a message with the skill name.

This is for developers who treat dsh as a daily engineering companion and want the AI to behave like a disciplined team member rather than a chat partner. If you just want a ready-to-use set of engineering workflows without worrying about upstream versioning details, this plugin is all you need.

使用场景

  • 开发时用 /tdd 驱动模型按红绿循环写测试和实现
  • 提交前用 /code-review 让模型执行双轴审查
  • 需求阶段用 /to-spec 或 /to-tickets 把想法拆成规格和票

适合人员

  • 把 AI 作为日常工程伙伴的全栈开发者
  • 希望在编码流程中引入结构化工具链的团队
  • 喜欢 Matt Pocock 工程方法论的独立开发者