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Usage Overview

Core Model

Skills-Manager-Plus is built around one central idea: keep a central skills library, then decide how each workflow, agent, and project should consume it.

The main concepts are:

  • Central library: the main repository where imported skills are stored.
  • Preset: a named workflow configuration with its own enabled skill set.
  • Global workspace: the per-agent surface for browsing real agent-global local skills and comparing them with the Skills Center.
  • Remote workspace: the SSH-host surface for managing remote agent-global Skills without local/remote sync.
  • Installed tool: a supported AI coding tool that can receive synced skills.
  • Project workspace: a project-local skills area that can be compared with the central library.
  • Custom agent: a user-defined tool path with its own sync configuration.

Typical Workflow

  1. Create a preset.
  2. Install skills through Skills Store.
  3. Open Skills Management and choose which skills are enabled in the current preset.
  4. Open Global Workspace when you want to inspect agent-global local skills or apply a preset to a specific agent.
  5. Use Remote Workspace when you need to manage agent-global Skills on an SSH host.
  6. Use Project Workspaces when a repository has its own local skills that need to be reviewed or exchanged.
  7. Use Git Backup when you want restore points or multi-machine sync.

Main Navigation

  • Dashboard: quick status and shortcuts.
  • Skills Management: manage the central library and local-scan results.
  • Skills Store: import new skills from external sources.
  • Presets: switch between different workflow setups.
  • Global Workspace: inspect and manage each installed agent's global local skills.
  • Remote Workspace: connect to SSH hosts and manage remote agent-global Skills with backup-first writes.
  • Project Workspaces: inspect and synchronize repository-local skills.
  • Settings: configure paths, tools, sync, search keys, and environment behavior.