Agent skill · DevOps & Cloud

meta-home-it-rescue

Use this meta-skill instead of answering directly when the user needs help with home, small-team, laptop, browser, printer, Docker, Git, network, UI, or deployment troubleshooting that benefits from multi-skill orchestration across symptom intake, environment capture, web lookup, and repair planning.

opensquilla6,385★ · +160/wk · 1 repos on radarProfile →
claude-codeApache-2.0
Install
npx skills add opensquilla/opensquilla --skill meta-home-it-rescue --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Path: src/opensquilla/skills/exp/meta-home-it-rescue/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 6,515 · +130 this week
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Home IT Rescue Creates safe, reversible troubleshooting plans for home and small-team IT issues.

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About this skill
What does the meta-home-it-rescue skill do?

Use this meta-skill instead of answering directly when the user needs help with home, small-team, laptop, browser, printer, Docker, Git, network, UI, or deployment troubleshooting that benefits from multi-skill orchestration across symptom intake, environment capture, web lookup, and repair planning.

How do I install it?

Run `npx skills add opensquilla/opensquilla --skill meta-home-it-rescue --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From opensquilla/opensquilla, a repository with 6,515 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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