dsh-lazy-skill
Run the following command in DeepSeek Harness:
dsh plugin install lihuu/dsh-lazy-skill
Paste the following prompt into your AI chat to install this plugin:
Install the plugin in DeepSeek Harness by running the plugin install command; the source code is available at https://github.com/lihuu/dsh-lazy-skill .
About this plugin
In DeepSeek Harness, every installed skill contributes a summary entry to the model catalog even when the current task has nothing to do with it. When a family of related skills, such as a toolchain, a phased workflow, or a multi-task project, is installed as flat siblings, their catalog summaries permanently consume prompt budget, pollute the context window, and tempt the model into asking which one should I use instead of simply working. dsh-lazy-skill is built specifically to eliminate that structural waste.
The plugin wraps a group of related skills into a single Bundle Box. Externally it exposes one compact root skill while sub-skills remain hidden from the model catalog by default. The frontmatter field loadSubskills on the root skill controls expansion: load every child, load a declared subset, or return only the root body and let the model read and decide on its own. Together with the skill_browse and skill_load tools, the model can inspect and precisely load hidden children on demand, removing the fixed token overhead of carrying every sibling summary in every prompt.
Built for developers who maintain multi-step toolchains, phased workflows, or project-level sub-task sets inside DeepSeek Harness. If your model catalog keeps growing, per-turn prompt budget is being eaten by irrelevant summaries, or the model keeps prompting you to choose which skill to call, this plugin was made for that situation.
Use Cases
- Multi-step toolchains (build, push, rollback) that should load as a group on demand
- Phased workflows where sub-tasks must not all appear in the model catalog at once
- Projects with multiple sub-skills whose unrelated summaries waste prompt budget
Best For
- DeepSeek Harness developers maintaining multi-skill projects
- AI application developers focused on token cost and context efficiency
- Advanced users who need to group related skills together
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