context-detection
Systematic project technology stack detection, framework-specific skill auto-loading, and multi-stack analysis for fullstack projects like React + Go.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
497 skills found
Systematic project technology stack detection, framework-specific skill auto-loading, and multi-stack analysis for fullstack projects like React + Go.
Master KPI dashboard design with proven metrics frameworks, SMART goals, and hierarchy patterns to drive business performance from executive insights to operational monitoring.
Easily configure and add Model Context Protocol (MCP) servers to various AI coding clients like Cursor, Claude, VS Code, and more using an interactive or automated command-line interface.
Automated runtime observability changelog for Claude Code development sessions, tracking file changes, test results, and git commits.
Apply reality-first coding standards: intentional naming, focused functions, guard clauses, and deterministic side effects, with no speculative features.
Coordinates cross-repository updates for GitHub Actions runner configurations, ensuring workflow labels match runner scale sets to prevent job queuing.
Refactor MoonBit code for idiomatic style: minimize public APIs, implement methods, leverage pattern matching with views, and enforce high test coverage for maintainable MoonBit projects.
Guidance for Model Context Protocol (MCP) server development, including tool design, resource handling, and AI/ML integration patterns.
Generate a production-ready Go API service with boilerplate for observability, local development, and clean architecture.
A robust verification and QA system for software agents featuring real-time truth scoring, automated code validation, and instant rollback capabilities to maintain high reliability.
Standardized React UI patterns for loading states, error handling, and data fetching to ensure consistent UX and robust component architecture.
A systematic code auditing framework for identifying technical debt, security vulnerabilities, dead code, and code quality issues in software projects.