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Found 80 Skills
Investigates completed flash-loan and atomic DeFi incidents across EVM and Solana from public txs—borrow-execute-repay fingerprints, oracle/pool/governance vectors, full trace reconstruction, impact quantification, and mitigations. Use when the user asks for flash loan exploit analysis, atomic attack post-mortems, large-borrow suspicious tx triage, or evidence-structured case studies from explorer data and read-only simulation—not for designing new attacks on live protocols.
Set up and use Dstl8 for observability. Triggers: install or configure Dstl8 (CLI, sources, MCP); incident triage and investigation; root cause analysis; checking whether a deploy fixed an issue; alerting on recurring patterns; cross-environment correlation; pre-coding context on past incidents and recent issues.
Implement incident management processes and escalation procedures. Configure on-call schedules and post-incident reviews. Use when managing production incidents.
Incident response and analysis via Harness MCP. Correlate incidents with recent deployments, assess blast radius and downstream service impact, and generate comprehensive postmortem documents. Use when asked to investigate an incident, determine if a deployment caused an issue, assess blast radius, or create a postmortem. Do NOT use for pipeline debugging (use debug-pipeline instead) or SLO management (use manage-slos instead). Trigger phrases: incident, deployment correlation, blast radius, postmortem, root cause, service impact, outage analysis, rollback decision, incident timeline, deployment caused, which deploy.
Fast decision-making methodology for time-critical situations. Use when you have minutes (not hours) to decide, during incidents, emergencies, or hard deadlines. Optimizes for "good enough now" over "perfect later". Unlike other patterns that maximize quality, RTR maximizes decision speed while maintaining acceptable quality floors.
Incident response procedures for Clerk authentication issues. Use when handling auth outages, security incidents, or production authentication problems. Trigger with phrases like "clerk incident", "clerk outage", "clerk down", "auth not working", "clerk emergency".
Guides AI ops leadership—LLM SRE, model/prompt releases, eval/incidents, cost/capacity, vendors, and cross-functional cadence. Use for AI platform ops, LLM SLAs, incidents, rollout governance, unit economics, red-team/eval gates, and team rituals—not memory (ai-memory-developer), context code (ai-context-engineer), security programs (cybersecurity), token roadmaps (ai-token-improvement-plan-engineer), solution architecture (applied-ai-architect-commercial-enterprise), skills portfolio (ai-skill-manager), or vertical AI product eng management (engineering-manager-vertical-ai-products). Prompt/eval team management and golden-set release policy: engineering-manager-agent-prompts-evals. Safeguard inference platform: ml-infrastructure-engineer-safeguards. Safeguard model research: ml-research-engineer-safeguards.
Systematic Kubernetes troubleshooting and incident response. Use this skill whenever the user mentions Kubernetes, K8s, kubectl, pods, containers, or clusters. Triggers include diagnosing CrashLoopBackOff, ImagePullBackOff, OOMKilled, or Pending pods, responding to production incidents, troubleshooting node NotReady or DiskPressure, debugging service connectivity or networking, investigating PVC or storage failures, analyzing performance degradation, checking cluster health, troubleshooting Helm releases, and conducting post-incident reviews.