LifeOS
A comprehensive personal life management system using Todoist for task tracking, Logseq for journaling, and AI-driven insights for productivity.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
617 skills found
A comprehensive personal life management system using Todoist for task tracking, Logseq for journaling, and AI-driven insights for productivity.
Automate high-quality screenshot generation for MicroSim visualizations using Chrome headless mode. Ideal for documentation, social media previews, and quality assessment.
Foundational architectural principles for MoAI-ADK, featuring TRUST 5, SPEC-First TDD, delegation patterns, and token-efficient agent orchestration workflows.
A meta-skill for building robust AI agent skills using a TDD approach: define failure (RED), implement the skill (GREEN), and plug rationalization loopholes (REFACTOR).
Retrieve current weather conditions, forecasts, and temperature data for global locations to assist with daily planning and travel.
Manage Jenkins CI/CD pipelines via REST API. Trigger builds, monitor job status, view console logs, and manage nodes and queues directly from your terminal or AI agent.
Accelerate Go application startup with parallel compile-time dependency injection. Optimize slow services, replace google/wire, and manage async dependencies with kessoku.
Convert Figma designs to project-consistent UI code using TemPad Dev MCP for precise markup, styling, and token integration.
Fetch and parse transcripts from YouTube and Bilibili videos for summarization, QA, and content extraction using yt-dlp.
Enforce strict code quality, correctness, and Rust design patterns for the Turso database, prioritizing data integrity, performance, and maintainable, idiomatic code.
Automatically keeps README files synced with codebase changes including dependencies, new features, and configuration updates.
Production-ready reinforcement learning using Stable Baselines3. Train agents, design custom environments, implement training callbacks, and optimize workflows with a scikit-learn-style API.