neuropixels-analysis
Neuropixels neural recording analysis toolkit. Provides end-to-end pipelines for SpikeGLX/OpenEphys data, Kilosort4 spike sorting, motion correction, quality metrics, and AI-assisted curation.
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250 skills found
Neuropixels neural recording analysis toolkit. Provides end-to-end pipelines for SpikeGLX/OpenEphys data, Kilosort4 spike sorting, motion correction, quality metrics, and AI-assisted curation.
A testing utility for the npm-agentskills framework, designed to validate Nuxt module integration and skill discovery patterns.
Streamline technical documentation for BattleScope features, maintaining consistency across API, frontend, and architecture layers.
Comprehensive management for the Flow Nexus platform, covering user authentication, sandbox execution, app deployment, credit management, and gamified challenges.
Standardized detective skill integration for agent roles. Maps agents to code-analysis skills and enforces claudemem usage for memory-indexed code investigation.
Build AI agents with the OpenAI Agents SDK for Python. Supports multi-agent handoffs, function tools, stateful sessions, streaming, and Azure OpenAI integration via LiteLLM.
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.
Upstash Vector DB setup, semantic search, namespaces, and embedding models. Ideal for building high-performance vector search features in Next.js 16/Vercel projects.
A CLI tool that automates the discovery and symlinking of agent skills distributed via npm packages, simplifying integration for AI-powered coding agents.
Search and reference Chromium documentation, including design docs, APIs, and development guides. Use to locate, browse, or learn about architecture, GPU, network, security, and testing concepts within the Chromium codebase.
Skill for managing MCP-based research, documentation lookups, and coordination between external search tools and plugin-backed memory systems.
Foundational mental model and operational rules for using TraceMem to ensure secure, auditable, and compliant AI agent execution.