Agent Skills Hub

stripe-patterns

Stripe payment integration patterns for checkout, webhooks, and subscriptions. Ensures safe API usage, idempotency, signature verification, and testing compliance.

grafana-dashboards

Create and manage production-ready Grafana dashboards for observability, real-time metrics visualization, and system monitoring.

guard

Epistemic safety analysis for JSON data in prompts to prevent LLM hallucinations and reasoning errors when handling incomplete or large-scale datasets.

github

Manage GitHub workflows, issues, and pull requests directly from your terminal using the gh CLI within OpenClaw.

elasticsearch

Elasticsearch DBA skill for cluster architecture, mapping design, performance tuning, and production operations including ILM, shard strategy, and troubleshooting.

dev-cycle

Interactive development workflow manager. Coordinates discovery, planning, review, and build phases using a specialized team of AI agents (Scout, Bob, Garry, Arlo) for consistent project delivery.

bird

A command-line interface for X/Twitter that allows for reading, searching, posting, and social engagement using cookie-based authentication, integrated into the OpenWhale AI agent ecosystem.

magicblock

Build high-performance Solana apps with MagicBlock Ephemeral Rollups: sub-10ms latency, gasless transactions, and seamless integration for games and HFT.

Project-Management-Interactive-copilot-test

A universal skill for automating GitHub Project V2 Kanban boards, supporting status transitions, sprint management, and interactive workflows via CLI.

claude-api

Expert guidance for Claude Messages API: structured outputs, prompt caching, tool use, and migration from deprecated Claude 3.x models to 4.5. Prevents common API errors.

k8s-troubleshooter

Systematic Kubernetes troubleshooting, pod diagnostics, cluster health monitoring, and incident response playbooks.

scikit-learn

Classical machine learning with scikit-learn. Use for classification, regression, clustering, dimensionality reduction, preprocessing, model evaluation, and building robust ML pipelines in Python.