发现 Skills

Implement saga patterns for distributed transactions and cross-aggregate workflows. Use when coordinating multi-step business processes, handling compensating transactions, or managing long-running workflows.

Derive security requirements from threat models and business context. Use when translating threats into actionable requirements, creating security user stories, or building security test cases.

A decision-making framework for choosing between regular expressions and large language models for parsing structured text — start with regular expressions and add a large language model only for low-confidence edge cases.

Automate Bidsketch tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Btcpay Server tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Detrack tasks via Rube MCP (Composio). Always check tools first for current schemas.

Automate Drip Jobs tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate IQAir AirVisual tasks via Rube MCP (Composio). Always search connected tools first for current schemas.

Automate prerender tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate ServiceM8 tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Twelve Data tasks via Rube MCP (Composio). Always search tools first for current schemas.

Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

Access ZINC (230M+ purchasable compounds). Search by ZINC ID/SMILES, similarity searches, 3D-ready structures for docking, analog discovery, for virtual screening and drug discovery.

Create, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate semantic-view DDL against Snowflake via CLI, or to guide Snowflake CLI installation and connection setup.

UI/UX design intelligence and implementation guidance for building polished interfaces. Use when the user asks for UI design, UX flows, information architecture, visual style direction, design systems/tokens, component specs, copy/microcopy, accessibility, or to generate/critique/refine frontend UI (HTML/CSS/JS, React, Next.js, Vue, Svelte, Tailwind). Includes workflows for (1) generating new UI layouts and styling, (2) improving existing UI/UX, (3) producing design-system tokens and component guidelines, and (4) turning UX recommendations into concrete code changes.

Debug Streamlit frontend and backend changes using make debug with hot-reload. Use when testing code changes, investigating bugs, checking UI behavior, or needing screenshots of the running app.

Implement secure secrets management for CI/CD pipelines using HashiCorp Vault, AWS Secrets Manager, or platform-native solutions. Use this pattern when handling sensitive credentials, rotating secrets, or securing CI/CD environments.

Use this skill when developing or maintaining browser extension code in the `browser/` directory, including Chrome/Firefox/Edge compatibility, content scripts, background scripts, or i18n updates.

Automate Brex tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate Serply tasks via Rube MCP (Composio). Always search tools first for current schemas.

Automate U301 tasks via Rube MCP (Composio). Always search tools first for current schemas.

How to use a Win32 build of BusyBox to run many of the standard UNIX command line tools on Windows.

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).