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dsh-plugin-lion-skills

Workflow Updated 2026.08.17

Run the following command in DeepSeek Harness:

dsh plugin install Lion-1209/dsh-plugin-lion-skills

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install Lion-1209/dsh-plugin-lion-skills in your terminal to install the plugin; the full source is available at https://github.com/Lion-1209/dsh-plugin-lion-skills .

About this plugin

Agents code fast, but they often skip the step you actually need: implementing before clarifying an ambiguous requirement, patching a symptom instead of chasing the root cause, or naming a variable with zero intention. dsh-plugin-lion-skills distills the 11 most common decision points in a developer workflow—requirement clarification, code review, debugging, naming, testing, task breakdown, pre-delivery verification, and more—into a structured Chinese skill suite that mounts on the DeepSeek Harness ctx.skills registry, so the agent loads the right mental framework automatically when the matching scenario triggers.

Each skill body is a plain Markdown file with name/description frontmatter, the same shape Claude Code uses, so you can edit and extend the suite without any build step. The suite registers as a bundled-rank 600 candidate, meaning your own project-level or user-level skills with the same name always take precedence. Malformed frontmatter fails loud at discovery rather than silently skipping a skill, and every skill declares resourceBase: directory so its body can reference sibling files such as evaluation fixtures, making it straightforward to keep refining trigger conditions and output quality over time.

If you already run DeepSeek Harness for day-to-day development and want your agent to follow more structured, layered Chinese guidance in scenarios like fuzzy requirements, unfamiliar codebases, design docs, and commit conventions, this suite works as a ready-made baseline that you can tune skill by skill to match your own project.

Use Cases

  • Let the agent surface hidden assumptions before coding ambiguous requirements
  • Guide the agent to trace root causes instead of patching symptoms when debugging
  • Have the agent verify completeness and fix gaps before delivery

Best For

  • Engineers using DeepSeek Harness for day-to-day development
  • Teams that want structured Chinese agent guidance in their workflow
  • Developers integrating the Lion-Skills methodology into their pipeline