synapse
Autonomous pattern detection and skill recommendation engine that monitors project memory, logs, and task lists to evolve your AI agent's capabilities automatically.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
580 skills found
Autonomous pattern detection and skill recommendation engine that monitors project memory, logs, and task lists to evolve your AI agent's capabilities automatically.
Generate professional markdown newsletters from localized events stored in SQLite. Automates event aggregation, curation, and formatting for community or niche media newsletters.
Adapt existing skills to your unique workflow, or create new ones for repetitive, time-consuming tasks.
Create publication-quality plots and visualizations using matplotlib and seaborn. Works locally with any LLM.
Language-agnostic debugging framework: scientific method, stack trace analysis, logging strategies, and advanced techniques like Git bisect and rubber ducking.
A suite of professional tools for auditing, evaluating, chunking, and scaffolding production-ready RAG pipelines within Claude Code.
Search and discover Claude Code skills and MCP servers from marketplaces, GitHub repositories, and registries to enhance your AI-assisted development workflow.
Standardized debugging and diagnostic guidelines for AI coding agents.
A structured decision-making tool that applies RICE, MoSCoW, Kano, and value-effort frameworks to prioritize software features, roadmap items, and build-vs-defer decisions with data-driven objectivity.
An AI-driven framework for crafting bespoke, authentic portfolio websites from scratch. Guides agents through research, design, and code implementation to build unique developer and professional sites.
Systematic technical conversation logging for developers and engineers. Captures decisions, implementation details, and session outcomes with factual precision.
Comprehensive AI-generated text detection framework. Features multi-layer analysis of vocabulary, structural patterns, model-specific fingerprints, and technical metadata artifacts to identify AI authorship.