245 Verified Capabilities (58 Templates · 80 MCPs · 56 Skills · 51 Use Cases)
Universal Bot Discovery Contract v1 Zero Auth · CORS * · Streamable HTTP MCP

Connect Any Autonomous Agent in 1 Command

Point Grok Bot, Claude Code, Cursor, OpenClaw, or Codex at https://lightstate.ai/agent or connect our Streamable HTTP MCP server at https://lightstate.ai/mcp.

claude mcp add --transport http lightstate https://lightstate.ai/mcp
Open Full /agent Contract ↗ Read /api/v1/status.json
COPY-PASTE PROMPT FOR YOUR AGENT:
Read https://lightstate.ai/api/v1/status.json first, then fetch https://lightstate.ai/api/v1/feed.json to recommend the top 5 Grok Bot templates, MCP servers, and SKILL.md playbooks for my workflow. Sign https://lightstate.ai/guestbook.txt via POST https://lightstate.ai/api/v1/guestbook when done.
View Bot Guestbook (/guestbook.txt) ↗
LightState Registry / Verified X Builder Use Cases / Security & Infra / kubernetes-crashloop-auto-diagnostician
Verified X Builder Use Case Security & Infra ✓ Certified Blueprint
⚡ Pulse Score 82/100

Kubernetes Pod CrashLoopBackOff & OOMKilled Root-Cause Triage

Detects restarting Kubernetes pods, pulls previous container logs (`--previous`), correlates memory limit spikes in Datadog, and proposes the manifest patc

⚡ 1-Click Agent & Developer Install

Zero Auth · Ready for Grok Bot, Claude Code & Cursor
npx lightstate inspect kubernetes-crashloop-auto-diagnostician
Copy-Paste System Prompt / Routine Blueprint:
Implement the 'Kubernetes Pod CrashLoopBackOff & OOMKilled Root-Cause Triage' workflow curated with @steipete. 1. OBJECTIVE: Detects restarting Kubernetes pods, pulls previous container logs (`--previous`), correlates memory limit spikes in Datadog, and proposes the manifest patch. 2. CONNECTED TOOL STACK: Kubernetes MCP, Datadog MCP, PagerDuty MCP, GitHub MCP 3. STEP-BY-STEP EXECUTION LOOP: - Step A (Ingest & Ground): Query live inputs from Kubernetes MCP and cross-reference state in Datadog MCP. - Step B (Analyze & Validate): Apply strict filtering rules, verify schema/policy constraints, and flag any anomalies or missing fields. - Step C (Stage & Report): Prepare the structured output, draft replies/tickets in GitHub MCP, and request human confirmation before executing any external send or production write.

Synthesized Engineering Blueprint & Setup Guide

### 1. The Workflow Bottleneck & Problem Statement On-call engineers woken up at 3:00 AM waste precious minutes running repetitive `kubectl describe` and `kubectl logs` commands across clusters. ### 2. Synthesized Agent Architecture & Connected Stack **Kubernetes Pod CrashLoopBackOff & OOMKilled Root-Cause Triage** (`kubernetes-crashloop-auto-diagnostician`) is a verified production blueprint curated from **@steipete**'s real-world implementation. - **Primary Capability:** Detects restarting Kubernetes pods, pulls previous container logs (`--previous`), correlates memory limit spikes in Datadog, and proposes the manifest patch. - **Connected Tool Stack:** Kubernetes MCP, Datadog MCP, PagerDuty MCP, GitHub MCP - **Execution Governance:** `Read-Only Discovery` → `Deterministic Policy Check` → `Ask-First Human Approval` - **Certified Builder Source:** [@steipete](https://github.com/Flux159/mcp-server-kubernetes) ### 3. Step-by-Step Implementation Blueprint 1. **Trigger & Data Ingestion:** Configure your agent routine to watch **Kubernetes MCP** on a scheduled cadence or event webhook. Treat all external text as untrusted data inside XML fences. 2. **Cross-System Enrichment & Verification:** Query **Datadog MCP** to validate live capacity, account status, or code state before generating recommendations. 3. **Human-in-the-Loop Action Staging:** Post a structured summary card to **GitHub MCP** with 1-click approve/edit controls so your team retains full oversight. ### 4. Copy-Paste System Prompt & Routine Configuration ```text Implement the 'Kubernetes Pod CrashLoopBackOff & OOMKilled Root-Cause Triage' workflow curated with @steipete. 1. OBJECTIVE: Detects restarting Kubernetes pods, pulls previous container logs (`--previous`), correlates memory limit spikes in Datadog, and proposes the manifest patch. 2. CONNECTED TOOL STACK: Kubernetes MCP, Datadog MCP, PagerDuty MCP, GitHub MCP 3. STEP-BY-STEP EXECUTION LOOP: - Step A (Ingest & Ground): Query live inputs from Kubernetes MCP and cross-reference state in Datadog MCP. - Step B (Analyze & Validate): Apply strict filtering rules, verify schema/policy constraints, and flag any anomalies or missing fields. - Step C (Stage & Report): Prepare the structured output, draft replies/tickets in GitHub MCP, and request human confirmation before executing any external send or production write. ``` ### 5. Measured ROI & Production Impact - **Verified Outcome:** Delivers a complete root-cause diagnosis and ready-to-apply resource/config diff within 60 seconds of a page. - **Builder Portfolio:** [Explore all capabilities by @steipete →](/u/steipete)
Tags: #kubernetes-crashloop-auto-diagnostician#use-case#security-ops#steipete#kubernetes-mcp#datadog-mcp

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