Identifies and fixes performance bottlenecks in code, databases, and APIs.
Automate Pingdom tasks via Rube MCP (Composio).
Automate PostHog tasks via Rube MCP (Composio): events, feature flags, projects, user profiles, annotations.
Complete guide to Prometheus setup, metric collection, scrape configuration, and recording rules.
Automate Rootly tasks via Rube MCP (Composio).
Automate Sentry tasks via Rube MCP (Composio): manage issues/events, configure alerts, track releases, monitor projects and teams.
Automate Simple Analytics tasks via Rube MCP (Composio).
Automate Uptimerobot tasks via Rube MCP (Composio).
Fetch and analyze component health regressions for OpenShift releases
Use when positioning a Journal of Applied Econometrics (JAE) manuscript against prior work — applied-econometrics precedent, the methods…
Use when positioning a Journal of Business & Economic Statistics (JBES) methods paper against prior econometric and statistical methods.
Automate Livesession tasks via Rube MCP (Composio).
llama.cpp local GGUF inference + HF Hub model discovery.
Unsloth GRPO training, HF export and vLLM serving lifecycle.
Implements layered resilience engineering, retry mechanisms, and self-healing pipelines for unattended LLM batch and scheduled jobs.
Use when: (1) Entering an LLM-based Kaggle competition (open-source model required, prompt engineering, few-shot), (2) Need to choose…
When to activate: LLM integration, LangChain, LlamaIndex, prompt templates, chains, tool calling, streaming, token budgeting, LLM caching…
Investigate LLM output quality issues — trace hallucination root causes across context, retrieval, prompts, tool use, and workflow design
Profiles runtime performance with CPU, memory, and I/O metrics.
Safely auto-detect the current machine's hardware (GPU, VRAM, system RAM, OS) with read-only commands, then recommend the top 3 local AI…
Guides users through the process of preparing datasets and fine-tuning local Large Language Models (LLMs) using techniques like LoRA and…