n8n production readiness auditor
by 43 Sunsets
Audit your n8n workflow before it breaks in production — graded report with exact node-level fixes.
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THE AGENSI STORE
44 skills found
by 43 Sunsets
Audit your n8n workflow before it breaks in production — graded report with exact node-level fixes.
by Al1as
Architect designed system degradation and choreographed failure sequences to prevent chaotic breakdowns.
by SkillForge
Stop fragile agent chains with structured, versioned, and idempotent handoff contracts for multi-agent systems.
by SkillForge
Architect production-grade multi-agent systems with explicit contracts, idempotency, and self-healing reliability.
by Kaymue
Design SLOs/SLIs for any service. Generates Prometheus rules, Grafana dashboards, burn-rate alerts. Google's 2%/50% model.
by Al1as
Map the geometry of system failures to transform edge-case chaos into structured architectural governance.
by Roy Yuen
Detect and analyze flaky tests across multiple frameworks with automated repeated execution and severity reporting.
by Timoranjes
Teaches AI coding agents to stop repeating the same mistakes by maintaining a structured LEARNINGS.md file that captures failure patterns, converts them into guardrails, and feeds them back into CLAUD
by Kaymue
Turn a 3am outage into a postmortem in 10 minutes. Slack/PagerDuty ingest, 5-Whys, blameless framing, action items. SEV1/2/3.
Turns your agent into a psychometrician that builds, validates, and troubleshoots measures — reliability, validity, factor analysis, IRT, and measurement invariance.
Turn timeline fragments, Slack logs, and pager history into a complete blameless postmortem — impact summary, clean timeline, contributing factors instead of a scapegoat, action items with owners and due dates, and lessons that survive the week.
Map your real cloud dependency tree — data plane and control plane — find the single points of failure ranked by blast radius, catch the classic traps like monitoring that dies with the region it watches, and get a prioritized resilience backlog. The audit every outage post-mortem says to do first.
by John Barros
Architect resilient, human-in-the-loop agent workflows with strict stop criteria, budgets, and validation rubrics.
by Timoranjes
Teaches AI coding agents to systematically verify their own work before declaring "done." Implements a structured five-check verification gauntlet (build/test/lint/git-diff/runtime) that the agent run
by Timoranjes
Teaches AI coding agents to self-detect context rot (regression loops, instruction drift, hallucination drift, lost-in-the-middle) during long sessions and execute a structured checkpoint/recovery pro
by Shippers
A canonical eight-layer architectural stack and enforcement framework for building reliable autonomous agents.
by Shogun Labs
Battle-tested prompting patterns to eliminate LLM output drift. Sandwich structure, few-shot examples, history limits, retry, and token caps — 6 composable layers for production-grade agent reliability.
by Timoranjes
Teaches AI coding agents to handle API and tool call failures gracefully using production-grade resilience patterns: exponential backoff with jitter, circuit breakers, timeout management, rate-limit h
by Shogun Labs
Battle-tested prompting patterns to eliminate LLM output drift. Sandwich structure, few-shot examples, history limits, retry, and token caps — 6 composable layers for production-grade agent reliability.
by Timoranjes
Teaches AI coding agents to build and run automated regression tests for SKILL.md files. When you update a skill that your team depends on, you need to know it still works — not just that it "looks ri