Use mqtt-topping to connect to MQTT brokers and query MQTT data over HTTP.
Frontend development guidelines for React/TypeScript applications.
Package entire code repositories into single AI-friendly files using Repomix.
Create or update Claude skills. Use for new skills, skill references, skill scripts, optimizing existing skills, extending Claude's…
Given founder context (stage, revenue, tenant, product category), return the exact next 3 Microsoft for Startups actions with links…
Guide for using MSBuild Server to improve CLI build performance.
Generates BSP registration functions and server handlers for 1C:Enterprise external processing modules.
Analyzes 1C configuration subsystem structures, hierarchies, and command interfaces directly from XML exports.
Automates browser testing and user interaction workflows for 1C:Enterprise web clients using Playwright.
Execute read-only SQL queries against multiple Microsoft SQL Server databases.
Morning Star Knowledge Crystallization – This process involves distilling the experience gained from solving problems into structured…
Review a pull request by checking out its branch and analyzing the changes
Help users build MUD applications with Nethereum — define tables, generate C# code, interact with World contracts, use the namespace…
Material-UI v7 component library patterns including sx prop styling, theme integration, responsive design, and MUI-specific hooks.
Run the same scrape or task across many accounts at once - each in its own browser profile with its own fingerprint, cookies and exit IP…
Multi-agent code review for security, quality, architecture, and deep-module design.
Spawns a team of 3 AI agents with different analytical perspectives to collaboratively analyze a problem, propose solutions, and debate…
Use multiple agent contexts when independent evidence, held-out checks, or posterior falsification can reduce correlated failure or human…
Perform multi-agent code review using multiple LLM providers with consensus-based aggregation posted to GitHub PR or GitLab MR
Use when designing a multi-agent system, when a single agent has too many responsibilities, when planning complex ML pipelines, or when…
Designs parallel agent workstreams for large feature sets by analyzing dependencies, assigning specialized agent types (Explore, Plan…