
Test
by Rootly-AI-Labs65832aa6ff7aNo licenseListed Oct 8, 2026Updated Oct 8, 2026
Simple test skill
Only the file list is public. File contents are available once the skill is installed in a workspace.
| Path | Size | Type |
|---|---|---|
| SKILL.md | 161 B | text/markdown |
Source and attribution
Source:Rootly-AI-Labs/rootly-claude-plugininskills/testat commit65832aa
License: No license
Content belongs to its original authors. SourceWeft indexes it from a public repository.
More from Rootly-AI-Labs/rootly-claude-plugin

Trend
Rootly-AI-Labs
Summarizes reliability trends for a service, team, or org using Rootly incident data over a 30-day window.

Swap
Rootly-AI-Labs
Helps an on-call engineer find a coverer for an upcoming shift and creates a Rootly override after explicit confirmation.

Status
Rootly-AI-Labs
Shows a compact service health overview of active incidents grouped by service and severity.

Retro
Rootly-AI-Labs
Generates a structured post-incident retrospective in markdown from Rootly incident data.

Respond
Rootly-AI-Labs
Investigates a production incident via Rootly MCP tools, gathering context, related incidents and suggested fixes for a response brief.

Oncall
Rootly-AI-Labs
Shows a compact on-call dashboard with current and next on-call, shift metrics, and health risk indicators.
More in AI & Agents

Skill Development
anthropics
Guides creation of Claude Code plugin skills, covering structure, descriptions, progressive disclosure and validation.

Plugin Structure
anthropics
Guides the structure, manifest, and component layout of Claude Code plugins.

Command Development
anthropics
Guides creation of Claude Code slash commands, covering structure, YAML frontmatter, arguments and plugin features.

Claude Md Improver
anthropics
Audits CLAUDE.md files in a repository, scores their quality, and applies approved targeted improvements.

Google Cloud Solution Agentic Ai Data Science Workflow
Guides design of a multi-product agentic data science architecture on Google Cloud, from requirements to deployment and validation.

Google Cloud Solution Agentic Ai Borderless Data Lakehouse
Guides design of a borderless multicloud open data lakehouse on Google Cloud, from requirements discovery to deployment and validation.