react-performance-optimizer
Analyzes React/Next.js code for performance bottlenecks, focusing on waterfalls, bundle size, and rendering efficiency.
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Analyzes React/Next.js code for performance bottlenecks, focusing on waterfalls, bundle size, and rendering efficiency.
Essential guidelines for writing modern, type-safe, and idiomatic Python 3 code.
Deploys a multi-agent swarm (Researcher, Reviewer, Safety Officer) to solve complex biomedical or research tasks in parallel.
A specialized tool for designing efficient and specific gRNA sequences for CRISPR-Cas9 experiments.
Optimizes black-box functions (e.g., experimental yield) using Gaussian Processes, ideal for self-driving labs.
Breaks down complex queries into a step-by-step plan before execution, improving performance on multi-hop reasoning tasks.
Standards for efficient, readable, and performant data manipulation using Python's Pandas library.
Provides comprehensive tools for working with Electronic Health Records (EHR) using the HL7 FHIR standard.
Drafts regulatory documents (FDA, EMA) with audit trails and specific "Thinking Block" reasoning. Use for high-stakes compliance writing.
Guidelines for building scalable, SEO-friendly applications with Next.js (App Router).
Predicts 3D protein structures from amino acid sequences using ESMFold or AlphaFold3 (mock).
Designs guide RNA (gRNA) sequences for CRISPR-Cas9 editing, including off-target analysis. Use when a user needs to edit a gene or asks for gRNA sequences.
A production-grade cheminformatics toolkit for analyzing molecular properties, toxicity, and synthetic accessibility.
Evaluates medical necessity for procedures like MRI against payer policies, providing approval/denial decisions with justification.
A unified interface for annotating single-cell RNA-seq data using Marker Genes, Deep Learning (CellTypist), or LLMs.
Generates executable Python protocols for Opentrons OT-2 and Flex robots from natural language descriptions.
Analyzes medical images (X-ray, MRI, CT) using multimodal LLMs to identify anomalies and generate reports.
A comprehensive guide and rule set for writing clean, performant, and maintainable React code.
Classifies genetic variants according to ACMG (American College of Medical Genetics) guidelines.
Locate pattern or substring and return position with context. Use to search for specific substring or pattern in a text document
Take a ScienceWorld action in the active session. Returns observation, reward, done. No session_id needed - uses active session from executive_node.
Generate new text or code content from scratch using natural language prompt via LLM. Use to collect thoughts or generate a coherent statement on a topic
Search web using Google CSE. Returns Collection of JSON Notes with fields text, metadata.uri (alias: source_url), metadata.domain, format, char_count
Tests pluck primitive (SELECT single field)
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。