Your agent can do more. Find the skill that makes it happen.
Find your next superpower If you are an agent, refer to our llms.txt for full access.Search logs and codebases for error patterns, stack traces, and anomalies. Correlates errors across systems and identifies root causes. Use PROACTIVELY when debugging issues, analyzing logs, or investigating production errors.
You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging,
Use when working with error diagnostics smart debug
Грамотное покрытие кода обработкой ошибок (try/catch/finally) и структурным логированием без «тихих» падений. Границы try/catch, нормализация (typed errors, cause, unknown в catch), async/finally/ретраи/таймауты; логи — уровни, контекст, лог один раз, без секретов/PII. Use при добавлении/ревью error handling и логирования.
Covers the Result pattern, RFC 9457 ProblemDetails, global exception handling, and FluentValidation. Supports consistent validation behavior and API error contracts.
Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.
Covers error handling patterns across languages, including exceptions, Result types, error propagation, and graceful degradation. Supports API design and improvements to application reliability.
Plan error handling across multiple product flows. Define prevention, detection, message content and placement, and escape routes that help users recover.
Supports direct use of the esm Python SDK and ESM3 or ESMC model identifiers. Covers Forge/Biohub inference clients and ESMFold2 folding workflows.
Applies safe ESPHome practices to YAML, lambdas, sensors, switches, and relays. Covers boot behavior, fail-safes, and validation.
Establishes behavioral baselines from historical telemetry (process, network, or logon events) so hunts can flag rare and first-seen activity instead of relying on static signatures. Activates for requests to build a telemetry baseline, find rare or first-seen activity, or compute frequency baselines for anomaly hunting.
Uses Yahoo Finance data to examine how analyst EPS and revenue forecasts change over time. Compares estimate ranges, consensus revisions, momentum, and growth projections across periods.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
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Read the skill, visit its source, and see exactly what you’re adding to your agent.
Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name