全部能力

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec,…

Deploy static or interactive frontend content to GitHub Pages using gh CLI. Use when the user wants to publish, share, or make accessible any HTML/CSS/JS…

NGS analysis toolkit. BAM to bigWig conversion, QC (correlation, PCA, fingerprints), heatmaps/profiles (TSS, peaks), for ChIP-seq, RNA-seq, ATAC-seq…

Query ChEMBL's bioactive molecules and drug discovery data. Search compounds by structure/properties, retrieve bioactivity data (IC50, Ki), find inhibitors,…

Github integration. Manage project management and ticketing data, records, and workflows. Use when the user wants to interact with Github data.

Build and manage webhook-based integrations for real-time event processing and API connections

Expert solutions architecture covering technical requirements, solution design, integration planning, and enterprise architecture alignment. Use when conducting technical discovery, designing integration architectures, running security assessments, scoping proof-of-concept engagements, or creating solution architecture documents.

Neuropixels neural recording analysis. Load SpikeGLX/OpenEphys data, preprocess, motion correction, Kilosort4 spike sorting, quality metrics, Allen/IBL…

Design cultures for closed-loop life support systems in space. Use when worldbuilding stations, ships, or habitats where recycled matter creates novel social…

Remove signs of AI-generated writing from text (formerly human-writing). Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Setup and manage Kernel authentication connections for any website (Gmail, GitHub, Outlook, or custom domains). Handles managed auth flows with automatic…

Run a structured UI/UX consultation to either (a) co-design a project-specific design system and emit `design-spec.md`, (b) review an existing UI with…

Use this skill when upgrading or migrating an Android project from any

分析和总结研究论文的专业方法论，提取核心贡献、方法细节并置于相关背景中解读。适用于…

Debugs AWS Lambda function timeout failures by systematically analyzing function configuration, CloudWatch logs and metrics, VPC/networking, cold starts,…

Push current branch changes to origin and create or update the corresponding

Analyzes events through physics lens using fundamental laws (thermodynamics, conservation, relativity), quantitative modeling, systems dynamics, and energy principles to understand causation, constraints, and feasibility. Provides insights on energy systems, physical limits, technological feasibility, and complex systems behavior. Use when: Energy decisions, technology assessment, systems analysis, physical constraints, feasibility evaluation. Evaluates: Energy flows, conservation laws, efficiency limits, physical feasibility, scaling behavior, emergent properties.

Guide for choosing between Server Components and Client Components in Next.js App Router. CRITICAL for useSearchParams (requires Suspense + 'use client'),…

Run and debug C# MCP servers locally. Covers IDE configuration, MCP Inspector testing, GitHub Copilot Agent Mode integration, logging setup, and troubleshooting. USE FOR: running MCP servers locally with dotnet run, configuring VS Code or Visual Studio for MCP debugging, testing tools with MCP Inspector, testing with GitHub Copilot Agent Mode, diagnosing tool registration issues, setting up mcp.json configuration, debugging MCP protocol messages, configuring logging for stdio and HTTP servers. DO NOT USE FOR: creating new MCP servers (use mcp-csharp-create), writing automated tests (use mcp-csharp-test), publishing or deploying to production (use mcp-csharp-publish).

Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular…