manage-skills
Manage the user's shared agent-skill library via skills-manager-cli — install, update, remove, deploy or undeploy skills per agent, manage presets, organize tags, search, and adopt existing skills.
Install / Use
npx skills add xingkongliang/skills-manager --skill manage-skillsInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
OperationsSupported Platforms
Tags
Our assessment of manage-skills
manage-skills scores 96/100 on our quality scale, 58th of 463 Operations skills we index (top 13%).
Its SKILL.md is 18 KB long, well organised into 41 sections with 18 code examples: a thorough specification that gives an agent plenty to work with.
With 4,925 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 11 days ago, so manage-skills is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-09-28. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
manage-skills compared with similar skills
All 4 of these similar skills score higher than manage-skills; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| manage-skills (this skill)by xingkongliang | 96 | 4.9k | 11d ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 6d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 6d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 7d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 130.2k | 7d ago | SKILL.md |
Frequently asked questions
- How do I install manage-skills?
- Run
npx skills add xingkongliang/skills-manager --skill manage-skills. The install tabs above show the steps for each supported agent. - Which AI agents does manage-skills work with?
- It is written for Claude Code, Cursor and OpenAI Codex, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is manage-skills safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is manage-skills still maintained?
- The repository was last updated 11 days ago, so manage-skills is actively maintained.
Skill content
View source on GitHubname: manage-skills description: Manage the user's shared agent-skill library via skills-manager-cli — install, update, remove, deploy or undeploy skills per agent, manage presets, organize tags, search, and adopt existing skills. Use this whenever the user wants Claude Code, Codex, Cursor, or another agent to gain or lose a skill, wants to organize the central library, or asks what is installed or deployed. Prefer this over direct agent-folder installs because Skills Manager preserves source metadata, preset membership, updates, and cross-agent deployment state.
Before doing anything
-
Resolve the CLI first, then use the path it prints. Run this once (POSIX shell):
D="$HOME/.skills-manager/bin" B="$D/skills-manager-cli"; [ -e "$B" ] || B="$B.exe" # .exe on Windows if [ -s "$D/.version" ] && [ -x "$B" ]; then echo "$B" elif [ -s "$D/.version" ] || [ -e "$B" ]; then echo BRIDGE_BROKEN else P="$(command -v skills-manager-cli 2>/dev/null || true)" [ -x "$P" ] && echo "$P" fiSubstitute the printed path into every command below, wherever the examples write
$SM. Do not carry$SMas a shell variable: each command you run is a new shell, so an assignment made here is gone by the next one.The three outcomes:
- A path under
~/.skills-manager/bin— the desktop app published this copy, and the.versionstamp appears only after it has been verified, so it always matches the app the user is running. Use it. BRIDGE_BROKEN— something the app left behind is here but does not add up: an unstamped binary, or a stamp with no binary beside it. Either is what a copy that failed half-way leaves. Stop. Do not go looking for another CLI: that binary may predate a safety fix, and the machine has a desktop app whose version nothing here can match. Ask the user to open the Skills Manager app once, which republishes it.- A path from PATH — nothing was ever published here, so there is no stale copy to worry about: this is a CLI-only machine (a server install, a standalone download, a hand-built binary). Use it, but note it can be older than a desktop app if one is also installed.
If nothing is printed at all, this skill doesn't apply — fall back to find-skills, or tell the user to install Skills Manager.
- A path under
-
Always pass
--jsonwhen you parse output yourself. Pretty-printed output is for the user; JSON is for you. Errors includeok=false, a stablecode, andmessageon stderr with a non-zero exit code.
"$SM" --json skills list
When a deployment is refused
A deploy that would overwrite something that is not ours is refused outright — nothing at those paths is deleted, and nothing else in the batch is applied. That failure is machine-readable, so report the actual paths rather than the sentence:
{"ok": false, "code": "TARGET_CONFLICT", "kind": "target_conflict",
"message": "Refusing to deploy: 1 of 2 target(s) …",
"details": {"conflicts": [{"path": "/Users/me/.claude/skills/db",
"reason": "is not a managed deployment"}]}}
Tell the user which path is in the way, that its contents are untouched, and
offer the two ways out: adopt it into the library (skills adopt), or move it
aside and retry. Never delete it for them.
Mental model
There's one central library at ~/.skills-manager/skills/ that all agents share. Each skill has source metadata, preset membership, tags, and zero or more real deployments in agent directories. A preset is a reusable group; several presets may be deployed at the same time.
Keep these three states separate:
- Library: install/remove controls whether Skills Manager owns the skill.
- Preset membership:
presets add-skill/remove-skillorganizes the library only. - Deployment:
skills deploy/undeployandpresets deploy/undeploycontrol what an agent can actually see.
Internally, presets are still stored as scenarios for backward-compatible Git Backup. The CLI and UI call them presets.
Install
# From skills.sh marketplace
"$SM" skills install vercel-labs/agent-skills@react-best-practices
# Any git URL (use /tree/branch/subpath form when the skill lives in a sub-directory)
"$SM" skills install https://github.com/anthropics/skills.git
"$SM" skills install https://github.com/foo/bar/tree/main/skills/baz
# Local folder
"$SM" skills install ./my-skill
# Force a source type when the ref is ambiguous
"$SM" skills install foo/bar --skillssh
"$SM" skills install ./looks-like/owner-repo --local
Default is library-only — the skill enters the DB but doesn't appear in any agent yet. Prefer an explicit follow-up deployment so scope is unambiguous:
"$SM" skills deploy <skill> --agent claude_code --agent codex
--sync and --sync-preset remain legacy shortcuts for the exclusive active-preset workflow.
Ref resolution is deterministic, no path-existence guessing:
- Starts with
./,../,/, or~/→ local path - Contains
://, ends in.git, or starts withgit@→ git URL - Matches
owner/repo,owner/repo/skill, orowner/repo@skill→ skillssh - Otherwise → error; pass
--local/--git/--skillsshto disambiguate
Always verify after install with skills list or skills show <name> so you can confirm the skill landed and report the preset / sync state back to the user.
Search
"$SM" --json skills search "react performance" --limit 5
Each result has install_ref (paste straight into skills install), installs (popularity proxy), and skills_sh_url. Show the top 1–3 with install counts before installing — anything with 10K+ installs is battle-tested; anything under 100 needs a careful look at the source repo.
Update / Check
# Re-fetch one skill (git/skillssh re-clones, local/import re-imports source dir)
"$SM" skills update <skill-name-or-id>
# Re-fetch all eligible skills
"$SM" skills update --all
# Just probe remote revisions, don't touch files
"$SM" skills check --all
check is the dry-run partner of update. Local-only skills (no git source) are reported as skipped: true.
An update replaces the skill's directory wholesale, so anything written inside it that the new version does not have would be destroyed. When the CLI detects that, it applies nothing and reports the paths instead:
{ "name": "ppt-master", "refreshed": false,
"held_back_removals": ["library: templates/mine.pptx"] }
The field is omitted entirely when nothing is held back, so test for its presence rather than for an empty array. refreshed: false with held_back_removals is not a failure and not something to retry — the skill is untouched and still on its old version. Show the user the listed paths and ask. There is no CLI flag to override this; only the desktop app can confirm and proceed, because only a person can say those files are expendable. The paths are prefixed with where they live (library, or an agent key for a deployed copy).
Note what this does not cover: a file the user edited that the new version also ships is reported as surviving, because its path survives — the update overwrites their edits silently. Warn anyone keeping local modifications inside a skill folder.
Remove
# Always preview first when removing more than one
"$SM" skills remove <skill> --dry-run
# --yes is required for the actual delete; --json mode does NOT auto-confirm
"$SM" skills remove <skill> --yes
Remove deletes the central-library copy, all synced targets across agents, and the DB row. It's not reversible without re-installing.
Deploy / Undeploy
"$SM" skills deploy <skill> --agent claude_code
"$SM" skills undeploy <skill> --agent codex
"$SM" skills deploy <skill-a> <skill-b> --agent codex --dry-run
"$SM" skills deploy <skill> --agent claude_code --agent codex
"$SM" --json skills status <skill>
These commands change real managed deployments without deleting the central-library copy or changing preset membership. skills enable/disable are deprecated compatibility commands and do not change deployment; never use them.
skills deploy and skills undeploy always require at least one explicit --agent, whether the command names one skill or several. skills status also reports target rows left by a custom agent that is no longer registered, so stale deployments stay visible and can be cleaned with an explicit undeploy while the row exists.
Legacy exclusive sync
# Sync current active preset to all enabled agents
"$SM" skills sync
# Preview the target list — safe, no writes
"$SM" skills sync --dry-run
# Switch the one legacy active preset, then sync
"$SM" skills sync --preset "Web Dev"
# Only sync to a single agent (useful when one agent's directory got out of sync)
"$SM" skills sync --tool claude_code
Adopt skills installed elsewhere
When skills already live in an agent's directory (e.g. installed via npx skills add or manual git clone) but aren't in the central library, pull them in:
# Dry-run scan first — lists candidates without writing
"$SM" skills adopt ~/.claude/skills --dry-run
# Adopt everything found — each becomes source_type=local (can't auto-update from git)
"$SM" skills adopt ~/.claude/skills
# Adopt a single skill and pin it to a git source so `update` works later
"$SM" skills adopt ~/.claude/skills/react-best-practices \
--git-url https://github.com/vercel-labs/agent-skills/tree/main/react-best-practices
# Or pass --git-subpath explicitly when the URL is just the repo root
"$SM" skills adopt ~/.claude/skills/react-best-practices \
--git-url https://github.com/vercel-labs/agent-skills \
--git-subpath react-best-practices
# Skill lives at the repo root? Pass an empty subpath
"$SM" skills adopt ~/.claude/skills/my-skill \
--git-url https://github.com/me/my-skill --git-subpath ""
adopt auto-excludes anything already in the DB or already a sync target, so it's safe to re-run. --git-url requires either a URL with a subpath (/tree/branch/path) or an explicit --git-subpath — without that, future update would re-clone the wrong directory, so the CLI refuses to guess.
--git-url only applies at the moment of adoption, while the directory is still unmanaged. Once a skill is in the library, use set-source below.
Re-point a skill at a git source
# Preview: resolves the source and reports whether content differs. It clones to
# a temp dir, but writes nothing to the library or the DB.
"$SM" --json skills set-source <skill> --git-url you/skills --subpath my-skill --dry-run
# A GitHub /tree/ URL carries the branch and subpath already
"$SM" skills set-source <skill> --git-url https://github.com/you/skills/tree/main/my-skill
This is how a local skill becomes git-backed so update works, and how a
skill pointed at the wrong repo gets corrected. It updates the row in place,
so the skill id survives and the tags, preset membership and per-agent
deployments keyed to it all stay intact.
- The flag is
--subpathhere, not--git-subpath— that one belongs toadopt. Pass--subpath ""when the skill is at the repo root, which must itself hold aSKILL.md. --branchoverrides a branch encoded in the URL.- The report carries
content_changed— a single boolean, not a file list. It compares the new source against the hash currently recorded for the library copy, not a fresh hash of the directory on disk, so edits made inside the central copy afterwards do not register as a difference. When it isfalsethe library copy is left untouched and those edits survive; copy-mode deployments are re-synced either way.
--force is destructive, and nothing stands between it and the user's files.
A content difference is refused without it. With it, the whole skill directory
Truncated for display — read the full file on GitHub.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
