5,009 Analytics & Monitoring agent skills on Mcprush that work with Devin Desktop — 5,009 free.
Analyzes occupational health data to identify work-related risks and provides personalized ergonomic and wellness recommendations.
Audit ML benchmark generation and evaluation pipelines against official repositories.
Ollama
Expert guide for pushing metadata, lineage, and query logs to Monte Carlo from any data warehouse.
Manage the LLM response cache. View cache statistics, clear entries, configure TTL policies, and control semantic-similarity caching…
Configure RTK filters, context engineering rules, and context relay settings.
Query available AI models across all configured providers.
Access detailed call logs and usage analytics.
Generates seamless one-take continuous video transitions using LTX transition LoRA and sequential keyframing.
Use when: (1) Competing in ONNX-based competitions (NeuroGolf, model compression), (2) Need to design minimal neural networks as ONNX…
Call the OpenAI Platform API from the terminal via TypeScript on deno — chat completions, Responses API, reasoning (o-series), embeddings…
Manages OpenBKN Business Knowledge Networks, semantic search indexes, AI model factories, and agent observability pipelines through a…
Debug OpenClaw model, provider, tool-surface, code-mode, streaming, and live/Crabbox behavior by choosing the right logs, probes, and…
How to run and change OpenGrad's annotation system safely — the opengrad-annotate CLI (check, start, status, audit, export, freeze-gold…
Use the OpenQASM 3 specification, reference grammar, and openqasm3
Monitor OpenRouter model availability and implement health checks.
Operations system diagnostics, incident investigation, service health, and bounded log triage while treating observed machine data as…
Improve Coval trace quality after basic ingestion works.
capability to parse Simplicité logs from a raw `.txt` file, filter fields to reduce noise, and output the result as structured JSON.
Analyzes oral health data to identify disease patterns, assess risks, and provide personalized dental care recommendations.
Design effective prompts for LLM agents with structured input/output formats, chain-of-thought reasoning, few-shot examples, and system…