--- name: creating-alerting-rules description: | This skill enables Claude to create intelligent alerting rules for proactive performance monitoring. It is triggered when the user requests to "create alerts", "define monitoring rules", or "set up alerting". The skill helps define thresholds, routing, and escalation policies, and offers options for multi-category alert creation, including latency, error rate, throughput, resource utilization, availability, and SLO violation alerts. It is useful for Site Reliability Engineers (SREs) and DevOps teams looking to improve system observability. allowed-tools: Read, Write, Edit, Grep, Glob, Bash version: 1.0.0 --- ## Overview This skill automates the creation of comprehensive alerting rules, reducing the manual effort required for performance monitoring. It guides you through defining alert categories, setting intelligent thresholds, and configuring routing and escalation policies. The skill also helps generate runbooks and establish alert testing procedures. ## How It Works 1. **Identify Alert Category**: Determines the type of alert to create (e.g., latency, error rate, resource utilization). 2. **Define Thresholds**: Sets appropriate thresholds to avoid alert fatigue and ensure timely notification of performance issues. 3. **Configure Routing and Escalation**: Establishes routing policies to direct alerts to the appropriate teams and escalation policies for timely response. 4. **Generate Runbook**: Creates a basic runbook with steps to diagnose and resolve the alerted issue. ## When to Use This Skill This skill activates when you need to: - Implement performance monitoring for a new service. - Refine existing alerting rules to reduce false positives. - Create alerts for specific performance metrics, such as latency or error rate. ## Examples ### Example 1: Setting up Latency Alerts User request: "create latency alerts for the payment service" The skill will: 1. Prompt for latency thresholds (e.g., warning and critical). 2. Configure alerts to trigger when latency exceeds defined thresholds. ### Example 2: Creating Error Rate Alerts User request: "set up alerting for error rate increases in the API gateway" The skill will: 1. Request the baseline error rate and acceptable deviation. 2. Configure alerts to trigger when the error rate exceeds the defined deviation from the baseline. ## Best Practices - **Threshold Selection**: Use historical data and statistical analysis to determine appropriate thresholds that minimize false positives and negatives. - **Alert Routing**: Route alerts to the appropriate teams or individuals based on the alert category and severity. - **Runbook Creation**: Generate or link to detailed runbooks that provide clear instructions for diagnosing and resolving the alerted issue. ## Integration This skill can be integrated with other Claude Code plugins to automate incident response workflows. For example, it can trigger automated remediation actions or create tickets in an issue tracking system. --- Source attribution: BbgnsurfTech Original project: https://github.com/BbgnsurfTech/claude-skills-collection/blob/01d3fafeca1133f841956b8b90b939fee92d71e7/plugins/claude-code-plugins-plus/backups/skill-structure-cleanup-20251108-073936/plugins/performance/alerting-rule-creator/skills/alerting-rule-creator/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2025 Claude Code Plugins Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: BbgnsurfTech Original project: https://github.com/BbgnsurfTech/claude-skills-collection/blob/01d3fafeca1133f841956b8b90b939fee92d71e7/plugins/claude-code-plugins-plus/backups/skill-structure-cleanup-20251108-073936/plugins/performance/alerting-rule-creator/skills/alerting-rule-creator/SKILL.md Attribution basis: Source repository record Fields of work: Development & Engineering, Marketing, Customer Support Roles: DevOps / SRE, Growth Marketer, Technical Support Specialties: DevOps Tools: Tool not specified Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: ab3924e0be7f22a3f85f4562aac47891d787ac7925270edf48284ffd5018d60a