ffmpeg-core
Production-grade FFmpeg automation for video and audio processing, including trimming, concatenation, format conversion, codec optimization, and filter application.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
564 skills found
Production-grade FFmpeg automation for video and audio processing, including trimming, concatenation, format conversion, codec optimization, and filter application.
A structured guide for novelists to navigate the seven-step writing process, from constitution and specification to planning, tasking, drafting, and quality analysis.
A specialized skill for building and managing Next.js App Router API routes, handling HTTP methods, request bodies, streaming, and response configuration.
P9 Tech Lead mode: Manages P8 agent teams via Task Prompts (six-element) without direct coding. Orchestrates 3+ parallel agents for project management, task decomposition, and architecture.
Vitest testing patterns for reliable unit and integration tests. Focuses on critical business logic, edge cases, and mocking strategies for high-impact functions.
Analyze and identify codebase patterns (naming, architecture, testing) to maintain consistency and enforce standards during development.
Preprocessing and cleaning astronomical light curves using Lightkurve. Tools for outlier removal, flattening, trend detrending, and quality flag handling for time-series analysis.
Full-stack application orchestrator that analyzes natural language requests to determine tech stacks, scaffold projects, and coordinate specialized development agents.
Automated guidance for implementing property-based testing (PBT) in software and smart contracts to improve test coverage and edge case detection.
A comprehensive guide for using Bun as a high-performance alternative to Node.js. Supports project initialization, dependency management, script execution, and migration checklists.
Implement a full Model Context Protocol (MCP) stack in Rails. Connect to external servers, expose your Rails app as an MCP server, or manage subprocess MCP containers via Docker with OAuth 2.1 PKCE support.
Create and test AI-ready MCP tools for any web application. Inject code, automate browser interactions, and turn websites into intelligent agents.