mcp-builder
创建高质量 MCP（模型上下文协议）服务器的指南，使 LLM 能够通过精心设计的工具与外部服务交互。在构建 MCP 服务器以集成外部 API 或服务时使用，无论是 Python (FastMCP) 还是 Node/TypeScript (MCP SDK)。
meeting-insights-analyzer
分析会议记录和录音，以发现行为模式、沟通洞察和可行的反馈。识别您何时避免冲突、使用填充词、主导对话或错过倾听的机会。非常适合寻求提高沟通和领导技能的专业人士。
operations-specialist
提供运营分析、财务跟踪、基础设施维护和客户支持能力。当需要处理运营任务、生成报告或维护系统时使用。
product-specialist
提供产品规划、需求分析、市场研究和业务分析能力。当需要进行产品决策、需求分析或市场研究时使用。
project-management-specialist
提供项目管理、任务跟踪、团队协调和项目交付能力。当需要管理项目、跟踪进度或协调团队时使用。
security-specialist
提供安全审计、风险评估和合规检查能力。当需要进行安全审查、风险评估或合规验证时使用。
skill-creator
创建有效技能的指南。当用户想要创建新技能（或更新现有技能）以通过专业知识、工作流或工具集成扩展 Claude 的功能时，应使用此技能。
testing-specialist
提供测试策略、测试编写、测试执行和测试结果分析能力。当需要编写测试、修复测试或优化测试流程时使用。
ui-ux-pro-max
UI/UX 设计智能，在设计页面时必须使用
accessibility-planning
Plan accessibility compliance - WCAG 2.2, Section 508, EN 301 549, inclusive design principles, audit planning, and remediation strategies.
design-system-planning
Plan design systems - component libraries, design tokens, documentation strategies, versioning, governance, and adoption frameworks.
heuristic-evaluation
Conduct heuristic evaluations - Nielsen's 10 heuristics, severity ratings, expert review methodology, cognitive walkthrough, and usability inspection.
information-architecture
Design information architecture - site structure, navigation, card sorting, tree testing, taxonomy, labeling systems, and findability.
prototype-strategy
Plan prototyping approach - fidelity levels, tool selection, prototype types, testing strategies, and design-to-development handoff.
service-blueprinting
Create service blueprints - frontstage/backstage visualization, touchpoints, support processes, evidence, and service design methodology.
usability-testing
Design and plan usability tests - task creation, think-aloud protocols, moderator scripts, metrics definition, and analysis frameworks.
user-research-planning
Plan user research studies - method selection, participant recruitment, study design, and research questions for generative and evaluative research.
webapp-testing
使用 Playwright 与本地 Web 应用程序交互和测试的工具包。支持验证前端功能、调试 UI 行为、捕获浏览器截图和查看浏览器日志。
analyze
Universal multi-perspective analyzer for any topic, file, idea, or decision. Extract key points, find gaps/risks, identify improvements with actionable plans.
convex
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git
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github
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skill-builder
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tmux
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workflow
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OpenCode SDK Development
This skill should be used when the user asks to "create an OpenCode tool", "build an OpenCode plugin", "write a custom tool for OpenCode", "use @opencode-ai/sdk", "use @opencode-ai/plugin", "integrate with OpenCode", "create OpenCode hooks", "define tool schema", "use tool.schema", "work with OpenCode sessions", or needs guidance on OpenCode SDK patterns, plugin development, or custom tool creation.
Agent Design
This skill should be used when the user asks to "configure agent profile", "add skills to agent", "set up MCP servers", "configure agent tools", "write system prompt", "create agent workflow", "define agent commands", "add subagents", or needs to define what capabilities an agent has and how to orchestrate complex workflows in the runtime.
Agent Design 2
This skill should be used when the user asks to "configure agent profile", "add skills to agent", "set up MCP servers", "configure agent tools", "write system prompt", "create agent workflow", "define agent commands", "add subagents", or needs to define what capabilities an agent has and how to orchestrate complex workflows in the runtime.
Backend Setup
This skill should be used when the user asks to "create an agent runtime server", "set up agent runtime backend", "configure Modal sandbox", "implement PersistenceAdapter", "start WebSocket server", "create REST API for agents", or needs to build a Node.js backend using @hhopkins/agent-runtime.
Agent Runtime Overview
This skill should be used when the user asks "what is agent-runtime", "why use agent-runtime", "what does this repo do", "agent runtime architecture", "how does agent-runtime work", or needs to understand the purpose, value proposition, and high-level architecture of the @hhopkins/agent-runtime monorepo.
React Integration
This skill should be used when the user asks to "connect React to agent runtime", "use useAgentSession", "use useMessages", "set up AgentServiceProvider", "stream agent responses", "build agent chat UI", "render conversation blocks", or needs to build a React frontend with @hhopkins/agent-runtime-react.
Project Tracking
System for tracking work across AI sessions. Use when starting or ending work sessions, managing initiatives, capturing ideas or todos, or when needing to understand what work is in progress. Handles knowledge transfer between sessions.
Documentation System
Standards for documenting codebases. Use when writing documentation, deciding where docs should go, reviewing doc quality, or updating docs after code changes. Covers folder structure, content guidelines, and maintenance workflows.
ralphie-spec
Generate project specifications in V2 format through structured user interviews. Requires user presence.
home-assistant-manager
Expert-level Home Assistant configuration management with efficient deployment workflows (git and rapid scp iteration), remote CLI access via SSH and hass-cli, automation verification protocols, log analysis, reload vs restart optimization, and comprehensive Lovelace dashboard management for tablet-optimized UIs. Includes template patterns, card types, debugging strategies, and real-world examples.
scientific-visualization
Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.
scientific-writing
Write scientific manuscripts. IMRAD structure, citations (APA/AMA/Vancouver), figures/tables, reporting guidelines (CONSORT/STROBE/PRISMA), abstracts, for research papers and journal submissions.
scikit-bio
Biological data toolkit. Sequence analysis, alignments, phylogenetic trees, diversity metrics (alpha/beta, UniFrac), ordination (PCoA), PERMANOVA, FASTA/Newick I/O, for microbiome analysis.
scientific-brainstorming
Research ideation partner. Generate hypotheses, explore interdisciplinary connections, challenge assumptions, develop methodologies, identify research gaps, for creative scientific problem-solving.
perplexity-search
Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model's knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.
polars
Fast DataFrame library (Apache Arrow). Select, filter, group_by, joins, lazy evaluation, CSV/Parquet I/O, expression API, for high-performance data analysis workflows.
protocolsio-integration
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
pubchem-database
Query PubChem via PUG-REST API/PubChemPy (110M+ compounds). Search by name/CID/SMILES, retrieve properties, similarity/substructure searches, bioactivity, for cheminformatics.
pubmed-database
Direct REST API access to PubMed. Advanced Boolean/MeSH queries, E-utilities API, batch processing, citation management. For Python workflows, prefer biopython (Bio.Entrez). Use this for direct HTTP/REST work or custom API implementations.
pufferlib
This skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.
pydeseq2
Differential gene expression analysis (Python DESeq2). Identify DE genes from bulk RNA-seq counts, Wald tests, FDR correction, volcano/MA plots, for RNA-seq analysis.
scientific-critical-thinking
Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE, Cochrane ROB), for critical analysis of scientific claims.
pydicom
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
pyhealth
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).
pylabrobot
Laboratory automation toolkit for controlling liquid handlers, plate readers, pumps, heater shakers, incubators, centrifuges, and analytical equipment. Use this skill when automating laboratory workflows, programming liquid handling robots (Hamilton STAR, Opentrons OT-2, Tecan EVO), integrating lab equipment, managing deck layouts and resources (plates, tips, containers), reading plates, or creating reproducible laboratory protocols. Applicable for both simulated protocols and physical hardware control.
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