发现 Skills

A comprehensive validation system for Claude Code sessions.

Compare coding agents (Claude Code, Aider, Codex, etc.) head-to-head on custom tasks and measure metrics such as pass rate, cost, time, and consistency.

Use only when authoring/updating/fixing C++ tests, configuring GoogleTest/CTest, diagnosing failing or flaky tests, or adding coverage/sanitizers.

Clinical Decision Support System (CDSS) patterns, medical reasoning, and evidence-based implementations.

Home lab VLAN segmentation, network isolation, access control, and traffic management.

Ktor server pattern (includes routing DSL, plugins, authentication, Koin DI, kotlinx.serialization, WebSocket, and testApplication tests).

Redis data structure patterns, caching strategies, distributed locking, rate limiting, Pub/Sub, and connection management for production applications.

Multi-agent adversarial verification with a convergence loop. Two independent review agents must both pass before an output can be shipped.

A pre-coding research workflow. Searches existing tools, libraries, and patterns before writing custom code. Invokes a researcher agent.

Bisect a ClickHouse regression using pre-built master binaries from CI. Use when the user wants to find the commit that introduced a bug.

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

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

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

3D game development principles. Rendering, shaders, physics, cameras.

Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling.

Master guide for using Claude Code effectively. Includes configuration templates, prompting strategies "Thinking" keywords, debugging techniques, and best practices for interacting with the agent.

Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML.

Capture conversations and decisions into structured Notion pages; use when turning chats/notes into wiki entries, how-tos, decisions, or FAQs with proper linking.

Multi-agent orchestration patterns. Use when multiple independent tasks can run with different domain expertise or when comprehensive analysis requires multiple perspectives.

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.

Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. Use this skill when the user asks for a diagram of their Azure resources or help in understanding how the resources relate to each other.

Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.

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Word document processing. Use when handling .docx (Word) documents. Use SkillSearch('docx') for docs.