Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA
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CLI tool for configuring and monitoring Claude Code
2048 above the Claude Code prompt: slide and merge tiles up to 2048. Plays while Claude works, pauses when the turn ends, keeps your best score; zero tokens. A single game split out of cc-arcade (MIT, Seza Akgün). Needs function hooks (early access) and an interactive terminal with a mouse.
Claude Code
Organization control mod: withholds the http and process nouns from $ so no plugin beneath it can reach the network or spawn processes, refuses user-tier plugins by name allowlist or by the $ calls their source declares, and withholds the Bash tool (shellPolicy "deny", default) or, in "guardrail" mode, denies well-known network clients as a bypassable speed bump. Hooks engine.create, plugin.register and tool.call; seat it in the managed prepend tier.
Claude Code
A side pane that draws the session's agent flow live: the main loop's context window, every subagent it spawns as a tree, and for each one the context handed down (its prompt, or the whole parent context for a fork), what it did with it (steps, tools, context size) and the answer it handed back up. Docked beside the transcript in the fullscreen layout, above the prompt otherwise. Needs function hooks (early access).
Claude Code
/aitmpl opens a component browser above the prompt: the aitmpl.com catalog (agents, commands, MCPs, settings, hooks, skills, loops, mods) read live from the site's public JSON through $.http.fetch. Pick a type or a trending component, filter, page, open a component and install it from there ($.process.run with the fixed CLI argv and a validated path, no shell), drop its install command into the prompt, or open its page in your browser. Hooks session.start, command.run and ui.render on AbovePromp
Claude Code
共 33 个插件包,通过下方列表选择查看。
共 914 项匹配内容,示例会单独标注;未声明归属的内容不代表插件自动包含。
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA
其他仓库内容 · 未声明插件包归属
Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing sys
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Comprehensive patterns for creating, maintaining, and managing Architecture Decision Records (ADRs) that capture the context and rationale behind significant te
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Master proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and
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Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for
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Build content-focused websites with Astro — zero JS by default, islands architecture, multi-framework components, and Markdown/MDX support.
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Comprehensive Python library for astronomy and astrophysics. This skill should be used when working with astronomical data including celestial coordinates, phys
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Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-perfo
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PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions
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Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or
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Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use whe
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Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The chal
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Guidelines for modern Avalonia UI layout using Zafiro.Avalonia, emphasizing shared styles, generic components, and avoiding XAML redundancy.
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Optimal ViewModel and Wizard creation patterns for Avalonia using Zafiro and ReactiveUI.
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Mandatory skills, conventions, and behavioral rules for Avalonia UI development using the Zafiro toolkit.
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Audit and rewrite content to remove AI writing patterns ("AI-isms"). Use this skill when asked to "remove AI-isms," "clean up AI writing," "edit writing for AI
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Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on limited GP
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This skill should be used when the user asks to "pentest AWS", "test AWS security", "enumerate IAM", "exploit cloud infrastructure", "AWS privilege escalation",
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Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, S
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Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support
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Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patter
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Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems.
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Comprehensive backend development guide for Node.js/Express/TypeScript microservices. Use when creating routes, controllers, services, repositories, middleware,
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Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
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