Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying.
Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.
Build monitoring dashboards that answer real operator questions for Grafana, SigNoz, and similar platforms.
GitHub repository analytics dashboard — stars, forks, contributors, issues, pull requests, recent activity, and top contributors. Use when the brief asks for a GitHub repo dashboard, open-source…
Forges deep, character-driven personas for AI agents with structured soul files, behavioral rules, and visual identity prompts.
Use this skill whenever the user wants text extracted from images, photos, scans, screenshots, or scanned PDFs. Returns exact machine-readable strings with line-level text and optional bbox…
PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model…
Diagnose the current OMC session or repo state using logs, traces, state, and focused reproduction
Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy…
Notion-style team dashboard rendered as a Live Artifact. A single-page, self-contained HTML dashboard with KPIs, a 7-day sparkline, a real-time activity feed and a linked-database task table —…
Diagnoses and resolves memory leaks in JavaScript/Node.js applications.
Python observability patterns including structured logging, metrics, and distributed tracing.
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms
Discover, compare, and run AI models using Replicate's API. Strong fit for image, audio, and video generation pipelines that swap models frequently.
Create a refreshable live operations artifact for customer success, support, or launch review workflows.
Poll AI-Trader heartbeat and notifications reliably through the primary pull-based mechanism.
Diagnoses Java application performance issues and JVM problems in real-time using the Alibaba Arthas toolkit.
Guides work on `packages/frontend/editor-ui` experiments. Use when creating, extending, wiring, testing, reviewing, or retiring editor-ui experiments, PostHog feature flags, experiment key indexes,…
Analyze Google Analytics data, review website performance metrics, identify traffic patterns, and suggest data-driven improvements.
Use this skill any time a spreadsheet file is the primary input or output.
Guidelines to create/update a new mode for PostHog AI agent.
Analytics & Monitoring agent skills on mcprush hold a number to its definition: what a metric counts, what rows it drops, and what an experiment is allowed to conclude from the interval it actually produced. The kinds are workflow, expertise, output format, voice & style and guardrail, and the one a skill belongs to is the fastest way to guess what it will do to your prompt.
What to look at before installing one is what it costs in context and what it takes away: a guardrail that refuses an action and a voice that rewrites a sentence are both skills, and only one of them will stop the agent doing something. Every skill here says which kind it is, what it costs in context, what it needs beside it to work and the licence it is published under, next to the publisher it came from and whether that publisher has been verified. The filters on the left narrow it further and the sort at the top decides what comes first.
A skill is not connected to anything: there is no endpoint to authorise and nothing routed through the gateway. Installing one drops a folder of instructions into the client’s own skill folder, and uninstalling it is deleting that folder. The exact line for each client is on the skill’s own page, because it differs by client rather than by skill.