Individual skill
manage-skills-hub
Use this skill whenever an Agent needs to query, find, install, deploy, update, tag, adopt, diagnose, or safely remove Skills Hub content, including natural-language requests to manage Skills for Codex, Claude Code, Cursor, or another Agent. Always use the Skills Hub CLI workflow instead of editing Skill directories or the database.
skills/manage-skills-hub/SKILL.md
Source commit a8cee8831f288376b8cc5d7d0d28485a03911c1e
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- Last checked
- Nov 6, 2026
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- 1,865
- Repository last updated
- Nov 1, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agent Repository topic
- claude-code Repository topic
- codex Repository topic
- cursor Repository topic
- desktop-app Repository topic
- react Repository topic
- rust Repository topic
- skill-management Repository topic
- skills-manager Repository topic
- writing Derived category
- operations Derived category
- data Derived category
- data-databases Derived category
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# Manage Skills Hub
Translate the user's requested Skill operation into the trusted `skillshub-cli` commands below. By default, an AI installation includes syncing to detected, enabled tools in Skills Hub; explicit user scope takes precedence. Keep device sync, automation, credentials, and application settings in the desktop app.
## Resolve a trusted CLI before every workflow
1. Inspect `~/.skills-hub/bin` without executing a binary. Only when that directory is completely absent, inspect `~/.skills-hub-dev/bin` as the desktop development bridge. These desktop profiles share the Skill library, but keep credentials separate. On Windows expand the user's home directory and use `skillshub-cli.exe`; otherwise use `skillshub-cli`. Never switch to another bridge when the selected directory exists but fails validation.
2. If that bridge directory exists (including a broken link or inaccessible path), require a regular executable binary and both regular stamp files `skillshub-cli.version` and `skillshub-cli.sha256` in that directory. Read only these public stamps. Validate a nonempty version and a 64-digit hexadecimal SHA-256 value, then compute the binary's SHA-256 with the platform's hashing utility and require an exact match. Reject symlinked stamps/binaries and unresolvable paths. Do not execute an unverified binary.
3. After hash validation, bind `$CLI` to that absolute binary path and run `$CLI --json version`. Require exit 0, `ok: true`, and `data.version` equal to the version stamp. Missing files, invalid stamps, mismatched hash/version, execution failure, and malformed output mean **bridge damaged**: fail closed, stop, and ask the user to open Settings → AI management in the desktop app and click Enable in one click to install or repair the CLI bridge. First-time installation or repair requires this explicit click; update the CLI and official Skill explicitly in Settings → AI management. Startup only checks status and does not update them. Never fall back to PATH when the bridge location exists but fails validation. Do not repair or edit stamps yourself.
4. Only when the desktop bridge directory is completely absent, resolve `skillshub-cli` from PATH for a CLI-only environment. Bind `$CLI` to the resolved absolute path and run `$CLI --json version`. If unavailable, explain installing Skills Hub and enabling AI management in Settings. Do not silently install software.
`$CLI` below denotes that verified executable, not a literal command or shell fragment. Pass arguments as distinct values; quote paths correctly and never evaluate user input as shell code. Read-only bridge inspection and hashing are the only filesystem work this workflow needs.
## Interpret machine results