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Found 916 Skills
Install and configure Oh My Hermes workflow layer for building, shipping, and operating apps with Hermes Agent
Ansible integration. Manage data, records, and automate workflows. Use when the user wants to interact with Ansible data.
Monitor PR checks and fix failures until green. Uses gh pr checks as the source of truth for PR-attached checks.
Query and filter Datadog logs from the shell using the Composio CLI. Run scoped log searches, pivot across services/environments, and export structured JSON for downstream agents instead of click-driving the Datadog UI.
Diagnose Harness pipeline executions via MCP. Analyzes any execution (failed or successful) to produce structured reports with stage/step breakdown, timing, bottlenecks, failure details, chained pipeline drill-down, and execution logs. Use when asked to debug a pipeline, investigate a failure, find out why a build failed, analyze pipeline errors, check execution logs, review execution performance, or find bottlenecks. Trigger phrases: debug pipeline, pipeline failed, why did my build fail, analyze failure, pipeline error, execution logs, fix pipeline, execution bottleneck, slow pipeline.
Expert automation engineer specializing in workflow automation, RPA, scripting, and process optimization.
Use this spell when you need to see what is happening right now on a distant system rather than reading stale logs or cached reports.
Docker & Hadolint - Atoll Tourisme. Use when working with Docker or containers.
Jenkins CLI for controllers. Use when users need to manage jobs, pipelines, runs, logs, artifacts, credentials, nodes, or queues in Jenkins. Triggers include "jenkins", "jk", "pipeline", "build", "run logs", "job list", "jenkins credentials", "jenkins node".
You are a workflow automation expert specializing in creating efficient CI/CD pipelines, GitHub Actions workflows, and automated development processes. Design automation that reduces manual work, improves consistency, and accelerates delivery while maintaining quality and security.
Advanced log analysis for Docker containers using signal extraction.
This skill should be used when users need to interact with Kubernetes clusters via kubectl CLI. It covers pod management, deployment operations, log viewing, debugging, resource monitoring, scaling, ConfigMaps, Secrets, Services, and all standard kubectl operations. Supports multiple clusters (production, staging, local k3s) with predefined aliases. Triggers on requests mentioning Kubernetes, k8s, pods, deployments, containers, or cluster operations.