proactive-agent
Transform AI agents into proactive partners using WAL Protocol, persistent memory buffers, and autonomous cron scheduling to anticipate needs and improve performance.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
359 skills found
Transform AI agents into proactive partners using WAL Protocol, persistent memory buffers, and autonomous cron scheduling to anticipate needs and improve performance.
Real-time observability dashboard for PAI multi-agent activity, featuring live WebSocket streaming, session tracing, and agent workflow debugging.
Agentic AI-powered JSON i18n file translator with auto-terminology, format preservation, and incremental updates to streamline global software deployment.
Guides agent memory system implementation, compares frameworks (Mem0, Zep, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention.
Downloads YouTube videos directly to your ~/Downloads folder using yt-dlp. Supports high-quality audio and video extraction.
Execute implementation plans in small, verifiable batches with pause-for-feedback checkpoints to prevent drift and ensure code quality.
Orchestrate end-to-end quality engineering across CI/CD pipelines, from commit-stage unit testing and shift-left strategies to production-stage synthetic monitoring and compliance gates.
Production-ready Scrum Master assistant for sprint management, capacity planning, and real-time team analytics.
A flexible template for developing and integrating custom AI agent skills within the Mini-Agent framework.
Deep document structure analysis and intelligent content extraction for knowledge bases.
Token-efficient codebase analysis skill for call graphs, semantic search, impact analysis, and data flow. Saves ~95% tokens vs. raw reads.
Framework for orchestrating long-running agentic tasks, evidence-based delivery, and automated QA gates following Simon Willison's iterative loop.