Main
Standardize where skills live: define a single on-disk location and let the manager sync from that source of truth.
Use the CLI for automation: schedule sync checks in CI or a cron job instead of relying on manual updates.
Keep skill metadata consistent: name, version, and usage docs should travel with the skill content.
Prefer small, testable skills: a manager helps, but smaller skills reduce breakage across host tools.
README (excerpt)
Skills Manager
One app to manage AI agent skills across all your coding tools.
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Install Skills — Marketplace

Global Workspace

Agent Workspace

Project Workspace

Settings

Features
- Unified skill library — Install skills from Git repos, local folders,
.zip/.skillarchives, or the skills.sh marketplace. Everything goes into one central repo, which defaults to~/.skills-managerand can be customized in Settings. - Marketplace + AI search — Browse popular skills from the marketplace, run keyword search, or enable SkillsMP AI search with your API key.
- Presets — Group skills into named presets. In any workspace, click a preset pill to instantly activate or deactivate all its skills for the current agent scope. The sidebar lists all presets for quick access.
- Global Workspace — Each agent gets its own page listing every skill in its global folder — including ones installed outside Skills Manager — so the view always reflects what the agent actually sees. Add or remove skills per agent, or use the All Agents overview to manage every installed agent at once.
Source-backed notes
- README includes
npm installfor dependencies and a Rust CLI install command:cargo install --path src-tauri --bin skills-manager-cli .... - Repo is MIT licensed and actively maintained (verified via GitHub API).
- Languages include both Rust and TypeScript (verified via GitHub languages API snapshot).
FAQ
- Is there a CLI?: Yes—README shows installing
skills-manager-clivia Cargo insrc-tauri. - Do I need Rust installed?: Only for building/installing the CLI; the desktop app uses Tauri and may require toolchain setup.
- What problem does it solve?: Keeping many skills organized and synchronized across machines/projects (as described in README).