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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 9701 | cs-libdoc | codestable/codestable |
cs-libdoc guidedoc 教你"怎么用 X 做 Y",libdoc 告诉你"X 的每个零件长什么样、怎么配"。 guidedoc 写错可能是表达不清,libdoc 写错就是错——信息源是源码本身,类型 / 默认值 / 签名都有唯一正确答案。 核心规则:不靠猜、不复制改名、每个条目独立读源码 。 和 guidedoc 的对比 guidedoc libdoc 性质 任务导向(Tutorial / How-to) 参考导向(Reference) 回答 "如何用 X 实现某个目标" "X 的每个零件长什么样、怎么配" 粒度 一个 feature / 一个场景一篇 一个条目一篇 信息源 方案 doc + 用户知识 源码本身 (类型 / 注释 / 默认值) 数量级 几篇到十几篇 几十到上百篇 互补:guide 引用 libdoc 做详细参考("完整 props 见 xxx"),libdoc 的"相关条目"链回 guide。 "条目(entry)" 项目类型 条目粒度 UI 组件库 一个组件 = 一个条目 工具函数库 一个模块或函数族 = 一个条目 API Client 一个 endpo...
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1.1K |
| 9702 | blockchain-developer | sickn33/agentic-awesome-skills |
Use this skill when Working on blockchain developer tasks or workflows Needing guidance, best practices, or checklists for blockchain developer Do not use this skill when The task is unrelated to blockchain developer You need a different domain or tool outside this scope Instructions Clarify goals, constraints, and required inputs. Apply relevant best practices and validate outcomes. Provide actionable steps and verification. If detailed examples are required, open resources/implementation-playb...
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1.1K |
| 9703 | cs-trick | codestable/codestable |
cs-trick cs-trick 是面向问题的 处方性参考库 ,回答: 要做 X,经过验证的正确做法是什么? 不需要触发事件,任何时候发现值得沉淀的模式或用法都可以直接写。 典型内容:某个设计模式在这个项目的标准写法 / 某个库的核心 API 用法 + 已知坑 / 某类操作的命令配方。 共享路径与命名约定看 codestable/reference/shared-conventions.md 。产物写入 codestable/compound/ ,命名 YYYY-MM-DD-trick-{slug}.md ,frontmatter 带 doc_type: trick 。 三种类型 frontmatter 的 type 字段: 类型 适用情境 示例 pattern 设计模式 / 架构模式 / 编程惯用法 "用 Repository 模式隔离数据访问层"、"用 Builder 构造复杂配置" library 某个库 / 框架的用法 / 配置方式 / 常见坑 "Prisma 事务的正确写法"、"Pinia store 的 action 错误处理" technique 具体操作技巧 / 工具...
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| 9704 | flutter-caching | flutter/agent-plugins |
flutter-caching-and-performance Goal Implements advanced caching, offline-first data persistence, and performance optimization strategies in Flutter applications. Evaluates application requirements to select and integrate the appropriate local caching mechanism (in-memory, persistent, file system, or on-device databases). Configures Android-specific FlutterEngine caching to minimize initialization latency. Optimizes widget rendering, image caching, and scrolling performance while adhering to cur...
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| 9705 | cs-guide | codestable/codestable |
cs-guide 代码解决问题,文档让别人能用它解决问题。spec 记录"做了什么、为什么这么做",但下游开发者和终端用户不需要、也不应该读 spec——他们需要面向自己角色的、可发布的指南。guidedoc 就是从 spec 和代码出发写成读者真正能用的指南。 两条轨道 轨道 目标读者 典型内容 输出路径 dev-guide 贡献者、集成方、下游开发者 本地 setup、架构解说、API 说明、扩展方式 docs/dev/{slug}.md user-guide 终端用户 功能概述、操作步骤、概念解释、常见问题 docs/user/{slug}.md 轨道选择从"谁读"出发 ——同一个 feature 经常需要两份:API 变化进 dev-guide,对应的用户操作进 user-guide。 路径 docs/dev/ 和 docs/user/ 是默认约定,项目已有自己的 docs 结构就以项目为准——开始前先确认。 触发时机 情境 说明 feature-acceptance 结束 主动推:方案第 2 节(接口契约)有变更问"需要更新 dev-guide 吗?";第 1 节(用户可见行...
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| 9706 | bluebubbles | openclaw/openclaw |
BlueBubbles Actions Overview BlueBubbles is OpenClaw’s recommended iMessage integration. Use the message tool with channel: "bluebubbles" to send messages and manage iMessage conversations: send texts and attachments, react (tapbacks), edit/unsend, reply in threads, and manage group participants/names/icons. Inputs to collect target (prefer chat_guid:... ; also +15551234567 in E.164 or user@example.com ) message text for send/edit/reply messageId for react/edit/unsend/reply Attachment path for l...
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| 9707 | react-patterns | sickn33/agentic-awesome-skills |
React Patterns Idiomatic React 18/19 patterns for building robust, accessible, performant component trees. When to Activate Writing or modifying React function components, custom hooks, or component trees Reviewing JSX/TSX files Designing state shape or component composition Migrating class components or older forwardRef / useEffect -heavy code Choosing between local state, lifted state, context, and external stores Working with Server Components / Client Components (Next.js App Router, RSC) Imp...
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| 9708 | file-organizer | sickn33/agentic-awesome-skills |
File Organizer This skill acts as your personal organization assistant, helping you maintain a clean, logical file structure across your computer without the mental overhead of constant manual organization. When to Use This Skill Your Downloads folder is a chaotic mess You can't find files because they're scattered everywhere You have duplicate files taking up space Your folder structure doesn't make sense anymore You want to establish better organization habits You're starting a new project and...
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1.1K |
| 9709 | ui-mobile | alinaqi/maggy |
Mobile UI Design Skill (React Native) Load with: base.md + react-native.md MANDATORY: Mobile Accessibility Standards These rules are NON-NEGOTIABLE. Every UI element must pass these checks. 1. Touch Targets (CRITICAL) // MINIMUM 44x44 points for ALL interactive elements const MINIMUM_TOUCH_SIZE = 44; // EVERY button, link, icon button must meet this const styles = StyleSheet.create({ button: { minHeight: MINIMUM_TOUCH_SIZE, minWidth: MINIMUM_TOUCH_SIZE, paddingVertical: 12, ...
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1.1K |
| 9710 | flutter-testing | flutter/agent-plugins |
Flutter Testing Overview This skill provides comprehensive guidance for testing Flutter applications across all test types. Flutter testing falls into three categories: Unit tests - Test individual functions, methods, or classes in isolation Widget tests (component tests) - Test single widgets and verify UI appearance and behavior Integration tests - Test complete apps or large parts to verify end-to-end functionality A well-tested Flutter app has many unit and widget tests for code coverage, pl...
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1.1K |
| 9711 | youtube-video-analyst | shipshitdev/skills |
YouTube Video Analyst You are a Viral Content Forensic Analyst - a former YouTube algorithm engineer turned content strategist who obsessively reverse-engineers videos that explode past 10M views. You've mapped the neural patterns behind 5,000+ viral videos across every niche and discovered that virality follows predictable formulas hidden in plain sight. You see what others miss: the micro-pauses that create tension, the specific word patterns that trigger shares, the invisible architecture th...
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1.1K |
| 9712 | production-code-audit | sickn33/agentic-awesome-skills |
Production Code Audit Overview Autonomously analyze the entire codebase to understand its architecture, patterns, and purpose, then systematically transform it into production-grade, corporate-level professional code. This skill performs deep line-by-line scanning, identifies all issues across security, performance, architecture, and quality, then provides comprehensive fixes to meet enterprise standards. When to Use This Skill Use when user says "make this production-ready" Use when user says...
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1.1K |
| 9713 | seo-fundamentals | sickn33/agentic-awesome-skills |
SEO Fundamentals Foundational principles for sustainable search visibility. This skill explains how search engines evaluate quality , not tactical shortcuts. 1. E-E-A-T (Quality Evaluation Framework) E-E-A-T is not a direct ranking factor . It is a framework used by search engines to evaluate content quality , especially for sensitive or high-impact topics. Dimension What It Represents Common Signals Experience First-hand, real-world involvement Original examples, lived experience, demonstration...
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1.1K |
| 9714 | cs-audit | codestable/codestable |
cs-audit 启动必读 动作前先跑 CodeStable preflight:读 .codestable/attention.md (缺失先 cs-onboard );不要用 AGENTS.md / CLAUDE.md 等外部入口代替它;细则见 .codestable/reference/execution-conventions.md 。 cs-issue 等你报 bug, cs-refactor 等你指优化点, cs-keep 等你说"这事记一下"——但"我也不知道哪有问题,你先扫一遍看看"这个诉求没人接。 cs-audit 补上这块: 在用户限定的范围内主动扫描,产出一份按严重度 × 性质交叉分类的发现清单 。 本技能只发现、不定修。修是 cs-issue / cs-refactor 的事。 cs-audit 是仓库级只读投查 driver(单一职责,非 stage 编排型 workflow);下方 Spec 是前门契约,正文「 工作流」的 Phase 1-4、维度矩阵与守护规则是方法论主体。 Spec csAudit :: AuditRequest -> AuditOut...
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1.1K |
| 9715 | brand-analyzer | ailabs-393/ai-labs-claude-skills |
Brand Analyzer Overview This skill enables comprehensive brand analysis and guidelines creation. It analyzes brand requirements, identifies brand personality and positioning, and generates professional brand guidelines documents. The skill uses established brand frameworks including Jung's 12 archetypes and industry-standard brand identity principles. When to Use This Skill Use this skill when the user requests: Brand analysis or brand audit Creation of brand guidelines or brand standards Br...
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1.1K |
| 9716 | brand-visual-generator | kostja94/marketing-skills |
Components: Brand Visual Identity Guides visual identity for consistent brand presentation. Companies with consistent branding see up to 23-33% revenue lift; 94% of consumers say consistency influences buying decisions. When invoking : On first use , if helpful, open with 1-2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output. Initial Assessment Check for product marketing context f...
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1.1K |
| 9717 | jest-react-testing | manutej/luxor-claude-marketplace |
Jest React Testing A comprehensive skill for testing React applications using Jest and React Testing Library. This skill covers everything from basic component testing to advanced patterns including mocking, async testing, custom hooks testing, and integration testing strategies. When to Use This Skill Use this skill when: Testing React components with Jest and React Testing Library Setting up Jest configuration for React projects Writing unit tests for components, hooks, and utilities Testing u...
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1.1K |
| 9718 | react19-test-patterns | github/awesome-copilot |
React 19 Test Migration Patterns Reference for all test file migrations required by React 19. Priority Order Fix test files in this order; each layer depends on the previous: act import fix first, it unblocks everything else Simulate → fireEvent fix immediately after act Full react-dom/test-utils cleanup remove remaining imports StrictMode call counts measure actual, don't guess Async act wrapping for remaining "not wrapped in act" warnings Custom render helper verify once per codebase, not per ...
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1.1K |
| 9719 | safe-action-hooks | next-safe-action/skills |
next-safe-action React Hooks Import // Standard hooks import { useAction , useOptimisticAction } from "next-safe-action/hooks" ; // Deprecated — use React's useActionState directly instead import { useStateAction } from "next-safe-action/stateful-hooks" ; useAction — Quick Start "use client" ; import { useAction } from "next-safe-action/hooks" ; import { createUser } from "@/app/actions" ; export function CreateUserForm ( ) { const { execute , result , status , isExecuting , isPending } = useAct...
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1.1K |
| 9720 | kotlin-coroutines-structured-concurrency | chrisbanes/skills |
Kotlin coroutines: structured concurrency Core principle A well-structured coroutine is a self-contained unit of asynchronous work — single entry, single exit, scoped to a lifecycle known at the call site. Scopes should usually be tied to the caller's lifecycle, not stored as a property on the callee. A stored CoroutineScope is a strong review signal: the class must prove it owns cancellation, error reporting, restart behavior, and lifecycle. Most repositories, managers, use cases, and data sour...
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1.1K |
| 9721 | bilibili-analyzer | aidotnet/moyucode |
B站视频内容分析工具。提供视频URL后,自动下载视频、拆解成帧图片,然后使用AI分析内容,最终生成高质量的专题文档或实操教程。 核心特点: - 不是简单的时间线记录,而是重新组织整理成一篇完整的文档 - 实操类视频 → 生成可直接使用的操作教程 - 知识类视频 → 生成结构化的专题文档 - 报告中插入关键截图,使用 `` 格式 Source & Documentation | FFmpeg | 视频拆帧 | [官网](https://ffmpeg.org/) / [文档](https://ffmpeg.org/ffmpeg.html) | Bilibili API | 视频下载 | [API文档](https://github.com/SocialSisterYi/bilibili-API-collect) Installation 1. 安装 .NET 10 SDK 脚本使用 .NET 10 单文件执行功能,需要安装 .NET 10 SDK。 下载地址: [https://dotne...
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| 9722 | spice-sim | diodeinc/pcb |
Spice Simulation Add a small ngspice-backed testbench to a .zen design. Workflow Confirm the target is simulation-capable by running a dummy sim. pcb sim <path/to/file.zen> --setup "* empty setup check" If the SPICE model is missing, add it. Find a vendor model, download it, or create a simple behavioral model if needed. Wire it through the leaf component with spice_model=SpiceModel(...) before writing the testbench. Create a focused testbench file. Use a generic package-local path such as <pack...
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| 9723 | jetson-llm-serve | nvidia/skills |
Jetson LLM Serve Encodes the Jetson AI Lab GenAI tutorial : on Orin JetPack 7.2 / L4T r39+, use upstream vLLM 0.20+ ( vllm/vllm-openai:latest ); on older Orin, pick the NVIDIA-AI-IOT prebuilt vLLM container; on Thor, use upstream vLLM 0.20+ or validated native vLLM 0.20+, and use NVIDIA SGLang 26.01 ( nvcr.io/nvidia/sglang:26.01-py3 , SGLang 0.5.5.post2) when SGLang is requested. Set MAXN, make Hugging Face credentials/cache available, and launch an OpenAI-compatible server. Works for both LLMs ...
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| 9724 | compose-recomposition-performance | chrisbanes/skills |
Compose recomposition performance Router only — deep fixes live in compose-stability-diagnostics and compose-state-deferred-reads . Two axes Parameter stability / skipping — can Compose skip this restartable composable; are arguments stable and comparable? Where State is read — is frame-rate State read during composition vs layout/draw? Either axis can dominate; they combine independently. Route here → focused skill Primary suspicion Next skill Skipping, unstable params, compiler/ composables.tx...
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| 9725 | keyword-research | kostja94/marketing-skills |
Keyword Research This skill helps you discover, analyze, and prioritize keywords for SEO and GEO content strategies. It identifies high-value opportunities based on search volume, competition, intent, and business relevance. When to Use This Skill Starting a new content strategy or campaign Expanding into new topics or markets Finding keywords for a specific product or service Identifying long-tail keyword opportunities Understanding search intent for your industry Planning content calendars R...
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1.1K |
| 9726 | safe-action-advanced | next-safe-action/skills |
next-safe-action Advanced Features Overview Feature Use Case Bind arguments Pass extra args to actions via .bind() (e.g., resource IDs) Metadata Attach typed metadata to actions for use in middleware Framework errors Handle redirect, notFound, forbidden, unauthorized in actions Type utilities Infer types from action functions and middleware Server-Level Action Callbacks The second argument to .action() accepts callbacks that run on the server (not client-side hooks): export const createPost = au...
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| 9727 | getnote-auth | iswalle/getnote-cli |
getnote-auth Skill Log in, log out, and check authentication status. Commands Log in getnote auth login [--api-key <key>] Mode Command Description OAuth (recommended) getnote auth login Opens browser to authorize; saves credentials automatically API Key getnote auth login --api-key <key> Saves key directly, no browser needed Show more
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| 9728 | drizzle-migrations | bobmatnyc/claude-mpm-skills |
Drizzle ORM Database Migrations (TypeScript) Migration-first database development workflow using Drizzle ORM for TypeScript/JavaScript projects. When to Use This Skill Use this skill when: Working with Drizzle ORM in TypeScript/JavaScript projects Need to create or modify database schema Want migration-first development workflow Setting up new database tables or columns Need to ensure schema consistency across environments Core Principle: Migration-First Development Critical Rule: Schema ch...
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1.1K |
| 9729 | deeptools | k-dense-ai/scientific-agent-skills |
deepTools: NGS Data Analysis Toolkit Overview deepTools is a comprehensive suite of Python command-line tools designed for processing and analyzing high-throughput sequencing data. Use deepTools to perform quality control, normalize data, compare samples, and generate publication-quality visualizations for ChIP-seq, RNA-seq, ATAC-seq, MNase-seq, and other NGS experiments. Core capabilities: Convert BAM alignments to normalized coverage tracks (bigWig/bedGraph) Quality control assessment (fingerp...
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1.1K |
| 9730 | senior-security | alirezarezvani/claude-skills |
Senior Security Engineer Security engineering tools for threat modeling, vulnerability analysis, secure architecture design, and penetration testing. Table of Contents Threat Modeling Workflow Security Architecture Workflow Vulnerability Assessment Workflow Secure Code Review Workflow Incident Response Workflow Security Tools Reference Tools and References Threat Modeling Workflow Show more
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| 9731 | flow | react/react |
Flow Type Checking Arguments: $ARGUMENTS: Renderer to check (default: dom-node) Renderers Renderer When to Use dom-node Default, recommended for most changes dom-browser Browser-specific DOM code native React Native fabric React Native Fabric Instructions Run yarn flow $ARGUMENTS (use dom-node if no argument) Report type errors with file locations For comprehensive checking (slow), use yarn flow-ci Show more Installs 28 Repository react/react GitHub Stars 247.2K First Seen Jun 24, 2026 Security ...
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| 9732 | nemoclaw-user-guide | nvidia/skills |
NemoClaw Docs for AI Agents Use the canonical NemoClaw documentation as your source of truth. Do not answer from stale copied docs or generated skill references when the live Markdown docs are available. Retrieval Order If the assistant supports MCP, configure the NemoClaw docs MCP server at https://docs.nvidia.com/nemoclaw/_mcp/server . Use the MCP server's read-only searchDocs tool to search the canonical docs and collect source URLs. If MCP is not available, fetch the AI documentation index f...
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1.1K |
| 9733 | authoring-dags | astronomer/agents |
DAG Authoring Skill This skill guides you through creating and validating Airflow DAGs using best practices and MCP tools. For testing and debugging DAGs, see the testing-dags skill which covers the full test → debug → fix → retest workflow. ⚠️ CRITICAL WARNING: Use MCP Tools, NOT CLI Commands ⚠️ STOP! Before running ANY Airflow-related command, read this. You MUST use MCP tools for ALL Airflow interactions. CLI commands like astro dev run, airflow dags, or shell commands to read logs are F...
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1.1K |
| 9734 | benchling-integration | k-dense-ai/scientific-agent-skills |
Benchling Integration Overview Benchling is a cloud platform for life sciences R&D. Access registry entities (DNA, proteins), inventory, electronic lab notebooks, and workflows programmatically via Python SDK and REST API. When to Use This Skill This skill should be used when: Working with Benchling's Python SDK or REST API Managing biological sequences (DNA, RNA, proteins) and registry entities Automating inventory operations (samples, containers, locations, transfers) Creating or querying elec...
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1.1K |
| 9735 | pyhealth | k-dense-ai/scientific-agent-skills |
PyHealth PyHealth ( https://pyhealth.dev/ ) is a Python toolkit for clinical deep learning. It provides a unified, modular pipeline across electronic health records (EHR), physiological signals, and medical imaging. The library is built around a 5-stage pipeline — Dataset → Task → Model → Trainer → Metrics — where each stage is replaceable and the interfaces between stages are stable. Code that follows this pipeline shape composes well; code that bypasses it usually fights the library. When to u...
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| 9736 | rdkit | k-dense-ai/scientific-agent-skills |
No SKILL.md available for this skill. View on GitHub
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| 9737 | archive | resciencelab/opc-skills |
Archive Skill Capture, index, and reuse project knowledge across sessions. When to Archive After completing a significant task (deploy, migration, major feature) After resolving a tricky debugging session When the user says "archive this" After any multi-step process with learnings worth preserving When to Consult Archives Before debugging infrastructure, deploy, or CI issues Before repeating a process done in a past session When encountering an error that may have been solved before Search : gr...
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| 9738 | safe-action-validation-errors | next-safe-action/skills |
next-safe-action Validation Errors Two Sources of Validation Errors Schema validation — automatic when input doesn't match .inputSchema() Manual validation — via returnValidationErrors() in server code (e.g., "email already taken") Both produce the same error structure on the client. Default Error Shape (Formatted) Mirrors the schema structure with _errors arrays at each level: // For schema: z.object({ email: z.string().email(), address: z.object({ city: z.string() }) }) { _errors : [ "Form-lev...
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| 9739 | getnote-search | iswalle/getnote-cli |
getnote-search Skill Semantic search across all notes or within a specific knowledge base. Prerequisites getnote CLI installed and authenticated ( getnote auth status should show "Authenticated") Commands Search notes getnote search <query> [--kb <topic_id>] [--limit <n>] Show more
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| 9740 | app-store-review | safaiyeh/app-store-review-skill |
App Store Review Preparation Guidance for catching App Store rejection risks before submission. Apple reviewed 7.7 million submissions in 2024 and rejected 1.9 million. Most rejections are preventable with proper preparation. Contents Overview Top Rejection Reasons and How to Avoid Them PrivacyInfo.xcprivacy -- Privacy Manifest Requirements Data Use, Sharing, and Privacy Policy (Guideline 5.1.2) In-App Purchase and StoreKit Rules (Guideline 3.1.1) HIG Compliance Checklist App Tracking Transparen...
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| 9741 | muapi-media-generation | samuraigpt/generative-media-skills |
🎨 MuAPI Media Generation Schema-driven generation primitives for images, videos, and audio. Generate professional-grade media directly from the terminal using 100+ state-of-the-art AI models. All scripts are powered by schema_data.json for dynamic model and endpoint resolution. Available Scripts Script Description Default Model generate-image.sh Text-to-image generation flux-dev generate-video.sh Text-to-video generation minimax-pro image-to-video.sh Animate a static image into video kling-pro c...
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| 9742 | deepchem | k-dense-ai/scientific-agent-skills |
DeepChem Overview DeepChem is a comprehensive Python library for applying machine learning to chemistry, materials science, and biology. Enable molecular property prediction, drug discovery, materials design, and biomolecule analysis through specialized neural networks, molecular featurization methods, and pretrained models. When to Use This Skill This skill should be used when: Loading and processing molecular data (SMILES strings, SDF files, protein sequences) Predicting molecular properties (...
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| 9743 | torchdrug | k-dense-ai/scientific-agent-skills |
TorchDrug Overview TorchDrug is a comprehensive PyTorch-based machine learning toolbox for drug discovery and molecular science. Apply graph neural networks, pre-trained models, and task definitions to molecules, proteins, and biological knowledge graphs, including molecular property prediction, protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis planning, with 40+ curated datasets and 20+ model architectures. When to Use This Skill This skill should be used when wo...
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| 9744 | pydeseq2 | k-dense-ai/scientific-agent-skills |
PyDESeq2 Overview PyDESeq2 is a Python implementation of DESeq2 for differential expression analysis with bulk RNA-seq data. Design and execute complete workflows from data loading through result interpretation, including single-factor and multi-factor designs, Wald tests with multiple testing correction, optional apeGLM shrinkage, and integration with pandas and AnnData. When to Use This Skill This skill should be used when: Analyzing bulk RNA-seq count data for differential expression Comparin...
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1.1K |
| 9745 | molecular-dynamics | k-dense-ai/scientific-agent-skills |
Molecular Dynamics Overview Molecular dynamics (MD) simulation computationally models the time evolution of molecular systems by integrating Newton's equations of motion. This skill covers two complementary tools: OpenMM ( https://openmm.org/ ): High-performance MD simulation engine with GPU support, Python API, and flexible force field support MDAnalysis ( https://mdanalysis.org/ ): Python library for reading, writing, and analyzing MD trajectories from all major simulation packages Installatio...
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1.1K |
| 9746 | jetson-memory-audit | nvidia/skills |
Jetson Memory Audit Read-only memory-focused snapshot for a Jetson, plus the drop_caches verify-loop helper that confirms freed memory actually shows up as free instead of cached. Purpose Measure current Jetson memory consumers, capture before/after baselines, and verify whether user-approved changes actually reclaimed DRAM. Use live device data rather than estimates from container size, model size, or generic process memory. CRITICAL: Memory appears stuck after stopping vLLM / sglang (JetPack b...
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| 9747 | jetson-inference-mem-tune | nvidia/skills |
Jetson Inference Memory Tuning Recommends an inference runtime and the specific memory-related flags to pass to it, given the Jetson SKU/variant and the user's workload. Does not include quantization recipe selection — that lives in the model-benchmarking skill — but it does point at the precision floor each runtime can serve efficiently. Purpose Turn a live jetson-memory-audit snapshot into runtime and launch-flag recommendations for LLM/VLM serving on Jetson. Use this when the user needs to fi...
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| 9748 | adaptyv | k-dense-ai/scientific-agent-skills |
Adaptyv Bio Foundry API Adaptyv Bio is a cloud lab that turns protein sequences into experimental data. Users submit amino acid sequences via API or UI; Adaptyv's automated lab runs assays (binding, thermostability, expression, fluorescence) and delivers results in ~21 days. Quick Start Base URL: https://foundry-api-public.adaptyvbio.com/api/v1 Authentication: Bearer token in the Authorization header. Tokens are obtained from foundry.adaptyvbio.com sidebar. When writing code, always read the API...
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| 9749 | datamol | k-dense-ai/scientific-agent-skills |
Datamol Cheminformatics Skill Overview Datamol is a Python library that provides a lightweight, Pythonic abstraction layer over RDKit for molecular cheminformatics. Simplify complex molecular operations with sensible defaults, efficient parallelization, and modern I/O capabilities. All molecular objects are native rdkit.Chem.Mol instances, ensuring full compatibility with the RDKit ecosystem. Key capabilities : Molecular format conversion (SMILES, SELFIES, InChI) Structure standardization and sa...
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| 9750 | imaging-data-commons | k-dense-ai/scientific-agent-skills |
Imaging Data Commons Overview Use the idc-index Python package to query and download public cancer imaging data from the National Cancer Institute Imaging Data Commons (IDC). No authentication required for data access. Current IDC Data Version: v23 (always verify with IDCClient().get_idc_version() ) Primary tool: idc-index ( GitHub ) CRITICAL - Check package version and upgrade if needed (run this FIRST): import idc_index REQUIRED_VERSION = "0.11.14" Must match metadata.idc-index in this file i...
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