Browse published AI skills maintained by X-McKay. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
87Repository stars across indexed skills
261Repository forks
0Average repository stars per indexed skill
3Repository stars may repeat across skills from the same repository.
Analyze a metric for statistical anomalies using z-score analysis and threshold checking. Detects spikes, drops, and trends. Use for proactive monitoring and early warning. Keywords: anomaly, detection, metric,...
Rollback a deployment to its previous revision. Use when a new deployment causes issues and needs to be reverted quickly. Keywords: rollback, revert, deployment, previous version, undo deployment.
Detect recurring patterns in issues and events. Identifies temporal, resource-based, cluster, and cascading patterns. Suggests prevention strategies. Keywords: recurrence, pattern, detection, trending, recurrin...
Monitor Temporal workflows and provide a clear, human-readable summary of their current state using the Temporal MCP server.
Request human approval for a critical operation via Discord MCP server. Posts a message with reaction buttons and uses await_reaction to wait for response. Use for destructive or irreversible operations. Keywor...
Check health of Temporal workflows in the cluster. Verifies Temporal server pods are running and checks for stuck or failed workflows. Use for monitoring workflow orchestration health. Keywords: Temporal, workf...
Check resource usage (CPU, memory) on cluster nodes. Used to identify nodes under pressure. Keywords: node resources, cpu, memory, capacity, pressure, metrics, cluster health.
Deep investigation of a failing pod. Gathers logs, events, and resource status to identify root cause. Keywords: investigate, debug, pod failure, troubleshoot, root cause, logs, events.
Analyze cluster capacity and provide scaling recommendations. Forecasts resource needs, identifies imbalances, and suggests actions. Use for capacity planning and proactive scaling. Keywords: capacity, planning...
Search the hierarchical memory system for relevant memories. Searches across all tiers (working, episodic, semantic) and returns ranked results. Use for context retrieval and pattern matching. Keywords: memory,...
Fast pre-filter to remove articles already processed. Uses Redis for O(1) URL lookup to avoid wasting LLM calls on previously seen content.
Use LLM to analyze a raw article. Generates summary, extracts entities, categorizes content, assigns importance score, and detects breaking news.
Compose a formatted news digest from processed articles and trends. Uses LLM to generate cohesive narrative summary with embedded citations. Formats for Discord readability.
Compresses large text into minimal tokens while retaining key facts, entities, themes, and events. Used for reducing context window usage.
Rollback a deployment to its previous revision. Use when a new deployment causes issues and needs to be reverted quickly. Keywords: rollback, revert, deployment, previous version, undo deployment.
Check Flux CD GitOps sync status. Verifies Kustomizations, HelmReleases, and GitRepositories are synced and healthy. Use for deployment verification and troubleshooting. Keywords: flux, gitops, sync, kustomizat...
Deploy application changes via GitOps workflow. Updates manifests in Git, triggers Flux reconciliation, and verifies deployment. Use for safe, auditable deployments. Keywords: deploy, gitops, flux, reconcile, r...
Get deployment health and replica status. Checks if deployment has desired replicas, available pods, and recent rollout status. Use to verify deployments are healthy. Keywords: deployment status, replica count,...
Store information in the hierarchical memory system. Supports three tiers: working (ephemeral), episodic (recent events), and semantic (permanent patterns). Use for learning from observations. Keywords: memory,...
Analyze patterns and trends across a batch of articles. Identifies hot topics covered by multiple sources, tracks topic momentum, and detects emerging themes.
Analyze a metric for statistical anomalies using z-score analysis and threshold checking. Detects spikes, drops, and trends. Use for proactive monitoring and early warning. Keywords: anomaly, detection, metric,...
Identify articles that qualify as breaking news requiring immediate alerts. Fast check based on article metadata without additional LLM calls.
Collect articles from configured RSS feeds. Fetches from multiple AI-focused news sources including tech blogs, research feeds, and company announcements. Filters articles by age and AI relevance.
Get overall cluster health status. Checks node readiness, system pod health, and control plane components. Use for periodic health checks or incident investigation. Keywords: cluster health, node status, cluste...
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.