dsh-skill-manager
Run the following command in DeepSeek Harness:
dsh plugin install Lanxing6480/dsh-skill-manager
Paste the following prompt into your AI chat to install this plugin:
In DeepSeek Harness, install using command `dsh plugin install Lanxing6480/dsh-skill-manager` with full source address at https://github.com/Lanxing6480/dsh-skill-manager.
About this plugin
Managing skills in DSH Web GUI often involves manual file editing, which can be cumbersome and error-prone for users. The dsh-skill-manager plugin addresses this by introducing an intuitive "Skills" panel that simplifies skill management. Users can view all installed skills at a glance and toggle their enabled or disabled status with a single switch, all without modifying underlying files. The toggle states are persisted automatically, ensuring consistency across sessions and restarts.
The plugin's core capabilities include a grouped skill list (global and local) with search functionality, allowing users to add, edit, and delete skills with confirmation prompts for safety. It employs an innovative masking provider mechanism to disable skills without altering SKILL.md files, making it effective for skills from any source. Additionally, the panel supports both form-based and raw source editing modes to cater to different user preferences.
This plugin is ideal for DSH users engaged in agent workflows, particularly developers and researchers who need to frequently adjust skill configurations. It streamlines the management process, enhancing productivity by letting users focus on content rather than configuration. Whether for personal projects or team collaborations, dsh-skill-manager offers convenient control and flexibility, making skill management a breeze.
Use Cases
- Quickly enable or disable skills in DSH Web GUI to boost productivity.
- Add or edit skills via form or source mode without manual file operations.
- Manage skills grouped by global and local contexts for different projects.
Best For
- DSH developers needing flexible skill configuration to optimize workflows.
- Researchers conducting experiments with agents, managing multiple skill sources.
- Team collaboration users sharing skill management while maintaining configuration consistency.
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