What platforms does this skill support?

It currently supports major observability platforms including Datadog (JSON dashboards/monitors), Prometheus (YAML recording rules and alerts), and Splunk (XML dashboards and saved searches).

These are requirement identifiers used to map specific software requirements to their corresponding telemetry data, allowing for granular monitoring of individual features.

Does it modify my application source code?

This skill primarily generates infrastructure and configuration files for your monitoring stack and provides the necessary tagging patterns for you to implement in your code's telemetry.

Can it handle SLA monitoring?

Yes, the skill is designed to create monitors and alerts that track Service Level Agreement (SLA) violations, such as p95 latency thresholds or minimum success rates.

Requirement-Based Observability Config

Name: Requirement-Based Observability Config
Author: foolishimp

byfoolishimp

0•

Analytics & Monitoring

Configures requirement-level observability for Datadog, Prometheus, and Splunk to track SLAs and performance metrics.

This skill enables developers to automatically generate production-ready observability configurations mapped directly to functional and non-functional requirements (REQ-*). It streamlines the setup of dashboards, monitors, and alerts across major platforms like Datadog, Prometheus, and Splunk, ensuring every feature has associated success rates, latency tracking, and error logs. By linking telemetry to specific requirement IDs, teams gain full-lifecycle traceability and can monitor the health of specific business goals in real-time.

Key Features

01Multi-platform support for Datadog, Prometheus, and Splunk

02Integrated trace visualization with requirement-to-metric mapping

03Automatic dashboard generation for specific requirements (REQ-ID)

04SLA-based alerting for latency, error rates, and success thresholds

050 GitHub stars

06Log aggregation with requirement-specific tagging and filtering

Use Cases

01Enforcing SLA compliance through automated requirement-level alerts

02Setting up production monitoring for a new feature launch

03Improving incident response with requirement-to-metric traceability

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add foolishimp/ai_sdlc_method create-observability-config

For use in Claude.ai and ChatGPT

Download Skill