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lightrun-ai
Debug live production services using Lightrun runtime instrumentation to answer questions about variable values, execution timing, and hit counts, then diagnose errors and review pull requests with evidence from production data.
What's Inside
Skills4
lightrun-ask-prod
/lightrun-ask-prod
Answer questions about live production system behavior — current variable values, execution durations, hit counts, and value distributions — by instrumenting running services with Lightrun MCP tools. Use when the question requires live runtime data rather than static code analysis (e.g. "show recent requests to this endpoint", "show the runtime distribution for this operation", "what values appear for this expression in production?", "which branch runs for customer X?").
lightrun-error-remediation-automation
/lightrun-error-remediation-automation
Guide deterministic runtime investigations in environments using Lightrun MCP tools, with preflight gating, recovery/resume rules, evidence-first diagnosis, PR-first fix proposal delivery, and local source-code fallback only when PR creation is not possible.
lightrun-live-runtime-debugging
/lightrun-live-runtime-debugging
Guide deterministic runtime investigations in live environments using Lightrun MCP tools, with preflight gating, recovery/resume rules, evidence-first diagnosis, and explicit blocker/handoff outputs.
lightrun-runtime-aware-pr-review
/lightrun-runtime-aware-pr-review
Review a pull request with Lightrun runtime evidence and diff-aware risk analysis. Use when a user wants to review a PR, check their changes, do a code review with runtime data, validate changes against production, or get a merge-risk assessment.
Stats
Version0.1.0
Stars27
MaintenanceExcellent
LicenseMIT
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