13 SKILL.md files are tagged “Observability”. They sit mostly in Technology & Engineering (8), Autonomous Agents (3), Crypto & Web3 (2). Skills with this tag often also carry: Crypto, Risk Management. Most popular: DevOps Engineer, Distributed Systems Expert, LLM Agent Systems Engineer. Every skill is a plain-Markdown SKILL.md you can copy or download for Claude Code, Codex and other AI agents.
Design and implement CI/CD pipelines, Docker configs, and infrastructure-as-code to automate deployments, ideal for teams needing fast, reliable releases.
Guides you in distributed systems design and debugging, from CAP tradeoffs to consensus, with practical patterns for reliability and observability.
Guides design, implementation, and deployment of LLM-powered agent systems, focusing on reliability, tool integration, and safe, observable operations.
Reads and interprets application logs to identify errors, patterns, and actionable insights for root-cause analysis.
This skill designs and implements reliable, observable background jobs with cron patterns, timezones, overlap prevention, and distributed scheduling.
Learn to design, implement, and operate production-grade crypto trading systems that are resilient, observable, and maintainable for live markets.
Expert guidance for designing, deploying, and operating scalable data orchestration with Airflow, including DAGs, backfills, retries, and observability.
Senior data pipeline architect who designs scalable, reliable ETL/ELT pipelines with contracts, idempotency, and observability across batch, micro-batch, and streaming.
Guides end-to-end ML pipeline design and MLOps, emphasizing reproducible, observable, and maintainable production systems.
Build observability with metrics, logs, and traces to understand system behavior and diagnose issues.
Instrument code for production observability with traces, metrics, and structured logs to enable debugging and post-incident analysis across services.
Provides production monitoring for crypto trading systems, alerting on latency, fill rate, and on-chain anomalies to prevent outages.
Design and deploy a service mesh to secure, observe, and control microservice communication with sidecar proxies; use when you have many services needing consistent mTLS and tra...