Manually posting to Twitter and managing engagement is time-consuming and error-prone. This skill automates tweet posting, content scheduling, likes, retweets, DMs, and user management through Claude Code using the inference.sh CLI.

Transform React/Remotion TSX code into MP4 videos programmatically. Generate animations, motion graphics, and data-driven videos without manual video editing tools.

Create stunning professional images with Alibaba Qwen-2.0-Pro model. Perfect for text-heavy posters, marketing banners, and designs requiring precise text rendering.

Users need a way to create and edit images using AI models directly from Claude Code. This skill provides seamless integration with Alibaba Qwen-Image-2.0 models via inference.sh CLI for text-to-image generation, image editing, and professional text rendering.

Enable AI agents to automate web browsing tasks including form filling, data extraction, screenshot capture, and video recording through a simple command-line interface.

MikroTik RouterOS CHR provides a full-featured virtual router for testing and development, but setup requires navigating QEMU options, VirtIO drivers, and firmware configurations. This skill provides complete guidance for running CHR with acceleration, proper VirtIO setup, and REST API integration.

Organizing research notes and generating summaries manually takes significant time. This skill connects to Google NotebookLM API to create sources, generate audio overviews, and manage notebooks programmatically.

Finding accurate, current information on the internet is time-consuming. This skill provides AI-ready search results optimized for LLM consumption with relevance scores, content snippets, and domain filtering.

Converting text to speech manually requires complex setup and API keys. This skill provides a unified interface to multiple TTS engines including local voice cloning and cloud services.

AI models often answer the wrong layer of complex user inputs, leading to drift, overreach, or fake certainty. Structure judgment analyzes inputs to identify the primary structural problem and routes to the correct handling layer before responding.

Prevents common reasoning failures where AI models present inference as observation or give costless recommendations. This skill enforces structural discipline through six systematic checks that ensure claims are properly grounded and uncertainty is honestly represented.

Developers spend hours on repetitive tasks like running builds, tests, and deployments. This skill provides ready-to-use templates for npm scripts, Makefiles, Git hooks, and CI/CD pipelines to automate these workflows.

Software projects lack consistent test coverage and face frequent bugs. This skill provides comprehensive testing strategies covering unit, integration, and E2E testing with practical examples and best practices.

Transform vague feature requests into actionable development tasks with clear acceptance criteria. Apply agile best practices like INVEST criteria and MoSCoW prioritization to deliver predictable sprint outcomes.

Stop guessing task durations and start planning with confidence. This skill applies proven agile estimation techniques to help your team reach consensus on story points, identify risks early, and create realistic sprint plans.

Quickly configure consistent development and production environments using Docker Compose, environment variables, dev containers, and infrastructure templates.

Running disorganized standups wastes team time and misses blockers. This skill provides structured templates and formats for efficient daily standups that keep agile teams synchronized.

Teams struggle to run effective retrospectives that produce actionable outcomes. This skill provides proven retrospective formats and facilitation guidance to help teams continuously improve their processes.

Vague requirements and incomplete tasks waste development time. Ralph provides specification-first methodology with autonomous iteration until verification passes, ensuring tasks complete properly.

Catch implementation mistakes before code is written by reviewing AI agent plans in a visual browser interface. Annotate plans with structured feedback, approve or request changes, and auto-save to Obsidian or Bear Notes.