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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 9801 | react-nextjs-development | sickn33/antigravity-awesome-skills |
React/Next.js Development Workflow Overview Specialized workflow for building React and Next.js 14+ applications with modern patterns including App Router, Server Components, TypeScript, and Tailwind CSS. When to Use This Workflow Use this workflow when: Building new React applications Creating Next.js 14+ projects with App Router Implementing Server Components Setting up TypeScript with React Styling with Tailwind CSS Building full-stack Next.js applications Workflow Phases Phase 1: Project Set...
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| 9802 | add-setting-env | lobehub/lobe-chat |
Adding Environment Variable for User Settings Add server-side environment variables to configure default values for user settings. Priority : User Custom > Server Env Var > Hardcoded Default Steps 1. Define Environment Variable Create src/envs/<domain>.ts : import { createEnv } from '@t3-oss/env-nextjs' ; import { z } from 'zod' ; export const get < Domain > Config = ( ) => { return createEnv ( { server : { YOUR_ENV_VAR : z . coerce . number ( ) . min ( MIN ) . max ( MAX ) . optional ( ) , } , r...
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| 9803 | react-testing | affaan-m/everything-claude-code |
React Testing Comprehensive React testing patterns for behavior-focused component tests, custom hook tests, accessibility assertions, and network-level mocking. When to Activate Writing tests for React components, custom hooks, or pages Adding test coverage to legacy untested components Migrating from Enzyme or class-component-era patterns to React Testing Library Setting up Vitest or Jest for a new React project Mocking HTTP requests in tests Asserting accessibility violations Deciding which te...
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| 9804 | add-provider-doc | lobehub/lobe-chat |
Adding New AI Provider Documentation Complete workflow for adding documentation for a new AI provider. Overview Create usage documentation (EN + CN) Add environment variable documentation (EN + CN) Update Docker configuration files Update .env.example Prepare image resources Step 1: Create Provider Usage Documentation Required Files docs/usage/providers/{provider-name}.mdx (English) docs/usage/providers/{provider-name}.zh-CN.mdx (Chinese) Key Requirements 5-6 screenshots showing the process Cove...
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| 9805 | modal | lobehub/lobe-chat |
Modal Imperative API Guide Use createModal from @lobehub/ui for imperative modal dialogs. Why Imperative? Mode Characteristics Recommended Declarative Need open state, render <Modal /> ❌ Imperative Call function directly, no state ✅ File Structure features/ └── MyFeatureModal/ ├── index.tsx Export createXxxModal └── MyFeatureContent.tsx Modal content Implementation 1. Content Component ( MyFeatureContent.tsx ) 'use client' ; import { useModalContext } from '@lobehub/ui' ; import { us...
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| 9806 | testing | lobehub/lobe-chat |
LobeHub Testing Guide Quick Reference Commands: Run specific test file bunx vitest run --silent = 'passed-only' '[file-path]' Database package (client-db, PGlite — default, skips BM25/pg_search) cd packages/database && bunx vitest run --silent = 'passed-only' '[file]' Database package (server-db, Postgres — BM25/pgvector parity, what CI measures coverage in) cd packages/database && TEST_SERVER_DB = 1 bunx vitest run --silent = 'passed-only' '[file]' Never run bun run test - it runs all 3000+ ...
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| 9807 | react-performance | affaan-m/everything-claude-code |
React Performance Performance optimization patterns for React 18/19 and Next.js, adapted from Vercel Labs react-best-practices (MIT, v1.0.0). This skill organizes rules by priority and provides decision-tree guidance for active code review and refactoring. When to Activate Writing or reviewing React/Next.js code for performance Diagnosing slow page loads, slow interactions, or high CPU on the client Auditing bundle size or Lighthouse Core Web Vitals regressions Removing waterfalls in Server Comp...
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| 9808 | linear | lobehub/lobe-chat |
Linear Overview This skill provides a structured workflow for managing issues, projects & team workflows in Linear. It ensures consistent integration with the Linear MCP server, which offers natural-language project management for issues, projects, documentation, and team collaboration. Prerequisites Linear MCP server must be connected and accessible via OAuth Confirm access to the relevant Linear workspace, teams, and projects Required Workflow Follow these steps in order. Do not skip steps. St...
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| 9809 | hotkey | lobehub/lobe-chat |
Adding Keyboard Shortcuts Guide Steps to Add a New Hotkey 1. Update Hotkey Constant In src/types/hotkey.ts : export const HotkeyEnum = { // existing... ClearChat : 'clearChat' , // Add new } as const ; 2. Register Default Hotkey In src/const/hotkeys.ts : import { KeyMapEnum as Key , combineKeys } from '@lobehub/ui' ; export const HOTKEYS_REGISTRATION : HotkeyRegistration = [ { group : HotkeyGroupEnum . Conversation , id : HotkeyEnum . ClearChat , keys : combineKeys ( [ Key . Mod , Key . Shift , ...
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| 9810 | react-patterns | affaan-m/everything-claude-code |
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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| 9811 | sf-apex | jaganpro/sf-skills |
sf-apex: Salesforce Apex Code Generation and Review Expert Apex developer specializing in clean code, SOLID principles, and 2025 best practices. Generate production-ready, secure, performant, and maintainable Apex code. Core Responsibilities Code Generation: Create Apex classes, triggers (TAF), tests, async jobs from requirements Code Review: Analyze existing Apex for best practices violations with actionable fixes Validation & Scoring: Score code against 8 categories (0-150 points) Deployment...
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| 9812 | generating-ui-bundle-custom-app | forcedotcom/sf-skills |
Custom Application for React UI Bundles Create and configure a Salesforce Custom Application that hosts a React UI bundle in Lightning Experience. This skill generates the CustomApplication metadata so the app appears in the Lightning App Launcher and can be accessed by internal users. Custom Applications differ from Experience Sites: they don't need Networks, CustomSite, DigitalExperienceConfig, or DigitalExperienceBundle metadata. The Custom Application acts as a thin launcher entry that deleg...
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| 9813 | firebase-firestore-basics | firebase/agent-skills |
Firestore Basics This skill provides a complete guide for getting started with Cloud Firestore, including provisioning, securing, and integrating it into your application. Provisioning To set up Cloud Firestore in your Firebase project and local environment, see provisioning.md . Security Rules For guidance on writing and deploying Firestore Security Rules to protect your data, see security_rules.md . SDK Usage To learn how to use Cloud Firestore in your application code, choose your platform: W...
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| 9814 | agent-ci | redwoodjs/local-ci |
Agent CI Run the full CI pipeline locally before pushing. CI was green before you started — any failure is caused by your changes. Run npx @redwoodjs/agent-ci run --quiet --all --pause-on-failure Retry When a step fails, the run pauses automatically. Fix the issue, then retry: npx @redwoodjs/agent-ci retry --name < runner-name > To re-run from an earlier step: npx @redwoodjs/agent-ci retry --name < runner-name > --from-step < N > Repeat until all jobs pass. Do not push to trigger remote CI when ...
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| 9815 | whose-number-is-this | useosint/osint-skills |
Whose number is this A phone number is a strong selector: expensive to acquire, hard to change, and used as an account-recovery anchor almost everywhere. It is also the selector investigators get most wrong, because the metadata everyone quotes — the carrier — is frequently stale, and because a large share of numbers now belong to software rather than to a SIM in someone's pocket. Do not call or text the subject; that is contact, not research. Step 1 — Authorized scope Read ../../ETHICS.md . Wri...
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| 9816 | follow-the-crypto | useosint/osint-skills |
Follow the Crypto Public chains are pseudonymous, not anonymous. Every transfer is permanently visible to anyone; what's missing is the mapping from address to human. So the whole game is attribution, and attribution almost always happens at an off-ramp — the point where value converts to fiat through a service that collected identity documents. Everything between the crime and the off-ramp is just plumbing you have to follow. The beginner error is treating a clustering heuristic's output as fac...
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| 9817 | hunt-a-handle | useosint/osint-skills |
Hunt a handle Handle reuse is the cheapest strong link in OSINT: one string, checked in minutes, potentially tying a dozen platforms to one person. It is also the most over-trusted. Enumerators do not verify identity — they perform HTTP existence checks — and a hit list is a list of candidates , nothing more. The mistake that ruins these investigations is pasting the tool's output into the report. Enumeration is the cheap half; confirmation is the work. Step 1 — Authorized scope Read ../../ETHIC...
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| 9818 | pattern-of-life-from-socials | useosint/osint-skills |
Pattern of Life from Socials Pattern-of-life analysis turns scattered public posts into a model of where someone is, when, and with whom. It is the most abusable technique in this repo: the same method produces a due-diligence report and a stalking dossier. The difference is authorization and scope, not tradecraft. The beginner error is collecting posts instead of analysing them — screenshots of a feed are not intelligence. Work four layers: account metadata, network, content, temporal behaviour...
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| 9819 | track-planes-and-ships | useosint/osint-skills |
Track Planes and Ships Aircraft and ships announce themselves over the air, and volunteers with cheap receivers write it all down. That gives you movement history for most civil traffic and, through registries, a path to ownership. The cost: the data is self-reported by the vehicle, so it is exactly as truthful as its operator chooses. The beginner error is chasing the wrong identifier — tail numbers, callsigns, vessel names and MMSIs all change, while ICAO hex codes and IMO numbers largely don'...
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| 9820 | write-the-intel-brief | useosint/osint-skills |
Write the intel brief The report is the only part of the investigation anyone else sees, so it is the only part that can be wrong in public. The failure that destroys credibility isn't a missed source — it's a sentence that reads as fact and is actually an inference. "The account is operated from Lisbon" versus "posting times cluster in UTC+0/+1, consistent with Iberian working hours." One survives cross- examination. Step 1 — Sort every claim into observation, inference, or assessment Three cat...
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| 9821 | find-anyone | useosint/osint-skills |
Find anyone Turn a name into a sourced profile of one specific human. The work is 20% finding data and 80% proving the data belongs to your subject and not to someone with the same name. Beginners collect first and disambiguate later; that is how you end up with a confident, well-cited dossier describing two different people fused into one. Bind the name to a second selector before you collect anything. Step 1 — Authorized scope Write down, before searching: the subject, the objective, what is i...
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| 9822 | find-hidden-subdomains | useosint/osint-skills |
Find hidden subdomains The hosts an organization forgot about are the ones worth finding, and most of them announced themselves the moment someone requested a TLS certificate. Certificate Transparency turns that into a searchable, permanent, historical index — free and completely passive. The beginner's mistake is treating a CT hit as a live host: most of what you pull back does not resolve, and that is information too, not noise. Which source first You hold Start with Why An apex domain crt.sh ...
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| 9823 | what-an-email-reveals | useosint/osint-skills |
What an email reveals An email address is usually the highest-value selector in an investigation: it carries a name, a domain, an account history, and a breach footprint. The beginner error is trying to prove the address exists. Existence is the least interesting thing about it, it is the hardest thing to establish passively, and the techniques that establish it are the ones that expose you. Work the structure and the footprint first; treat validation as a bonus. Never send mail to the subject a...
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| 9824 | investigate-anything | useosint/osint-skills |
Investigate anything The front door. Everything downstream is faster than the thinking that should precede it, which is why most bad investigations are not collection failures — they are framing failures. You can run forty tools against a name and produce a confident dossier on the wrong person. The work here is deciding what question you are answering, what would count as an answer, and what would prove you wrong. Core vocabulary Used across every skill in this repo, defined only here. Selector...
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| 9825 | graph-the-network | useosint/osint-skills |
Graph the network A list of thirty selectors and a graph of thirty selectors contain identical information, and only one of them lets you see that two clusters share a node. That is the entire justification: humans do not detect shared elements across rows, and detect them instantly in a layout. The beginner mistake is treating the graph as an output — a picture drawn at the end for the report. It is the case's working memory, built from the first pivot, and the report is generated from it. Deci...
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| 9826 | geolocate-from-pixels | useosint/osint-skills |
Geolocate from pixels Every photograph taken outdoors contains enough information to place it. The constraint is never the image; it is your patience and your reference knowledge. The beginner mistake is searching before inventorying. People see a mountain, type "mountain with two peaks" into a search box, and get nothing. The method is the opposite: extract every clue first, rank them by how much of the planet each one eliminates, and only then start searching — because the clue that pins the c...
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| 9827 | crypto-ta-analyzer | dkyazzentwatwa/chatgpt-skills |
Crypto & Stock Technical Analysis Multi-indicator technical analysis system that generates high-confidence trading signals by combining 29+ proven algorithms. Features divergence detection, Bollinger Band squeeze alerts, volume confirmation, and a 7-tier signal system. Ideal for cryptocurrency and stock market analysis. Core Workflow 1. Data Acquisition Fetch historical price data from any supported source: CoinGecko (via MCP tools): Use coingecko_get_historical_chart tool with: - coin_id: ...
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| 9828 | aws-solution-architect | alirezarezvani/claude-skills |
AWS Solution Architect for Startups This skill provides comprehensive AWS architecture design expertise for startup companies, emphasizing serverless technologies, scalability, cost optimization, and modern cloud-native patterns. Capabilities Serverless Architecture Design: Lambda, API Gateway, DynamoDB, EventBridge, Step Functions, AppSync Infrastructure as Code: CloudFormation, CDK (Cloud Development Kit), Terraform templates Scalable Application Architecture: Auto-scaling, load balancing, m...
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| 9829 | where-was-this-taken | useosint/osint-skills |
Where was this taken Input: an image or video file, or a URL to one. Output: a location with a confidence radius, a time window, an authenticity assessment, and the evidence chain for each. This workflow orchestrates. The technique detail lives in secrets-in-file-metadata , find-the-original-image , geolocate-from-pixels and is-this-photo-real — run those, don't reimplement them here. The order matters more than anything else in this file. Metadata before analysis, because analysis destroys meta...
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| 9830 | who-really-owns-it | useosint/osint-skills |
Who really owns it Registries turn a brand into a legal entity with a number, dates, addresses, and named people. The thing nobody tells you first: registry structure varies enormously by jurisdiction, and that variance is the entire game. One country publishes full accounts, share registers, and directors' birth dates for free. Its neighbour publishes a name and a status code and charges for the rest. Your research strategy is not "look up the company" — it is "work out what this jurisdiction l...
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| 9831 | obsidian | bitbonsai/mcpvault |
Obsidian Obsidian vault = a normal folder on disk. Vault structure (typical) Notes: *.md (plain text Markdown; edit with any editor) Config: .obsidian/ (workspace + plugin settings; usually don’t touch from scripts) Canvases: *.canvas (JSON) Attachments: whatever folder you chose in Obsidian settings (images/PDFs/etc.) Find the active vault(s) Obsidian desktop tracks vaults here (source of truth): ~/Library/Application Support/obsidian/obsidian.json obsidian-cli resolves vaults from that file; v...
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| 9832 | find-leaks-in-the-wild | useosint/osint-skills |
Find leaks in the wild This is where data surfaces before anything indexes it, and where most of what you find is a recombination of things that leaked years ago. Two mistakes cost people most: assuming a paste host's own search will find pastes, and reporting a combolist as a breach. The first wastes a day; the second is a factual error in a deliverable and it will be found. Where to start with what you're holding You have Start with Why An email or username A curated breach service first Cheap...
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| 9833 | markitdown | julianobarbosa/claude-code-skills |
MarkItDown - File to Markdown Conversion Overview MarkItDown is a Python tool developed by Microsoft for converting various file formats to Markdown. It's particularly useful for converting documents into LLM-friendly text format, as Markdown is token-efficient and well-understood by modern language models. Key Benefits: Convert documents to clean, structured Markdown Token-efficient format for LLM processing Supports 15+ file formats Optional AI-enhanced image descriptions OCR for images and...
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| 9834 | wechat-article-search | wuchubuzai2018/expert-skills-hub |
微信公众号文章搜索说明 适用场景 用户说“帮我搜某个关键词的公众号文章/最近文章” 需要快速拿到:标题、摘要、发布时间、公众号名称、可访问链接 工作流程 步骤1: 确认已安装依赖包 该脚本依赖NodeJS依赖包 cheerio ,建议先执行全局安装或在项目中安装: npm install -g cheerio 步骤2: 确认搜索词语数量 1、 确认关键词与数量 步骤3: 执行搜索命令 1、执行常规搜索命令 node scripts/search_wechat.js "关键词" 特殊流程(可选) 执行包含数量限制的搜索命令 node scripts/search_wechat.js "关键词" -n 15 如果用户需要保存结果到文件,执行命令 node scripts/search_wechat.js "关键词" -n 20 -o result.json 若想要获取微信文章域名的真实链接”,执行如下命令 node scripts/search_wechat.js "关键词" -n 5 -r 参数说明 query :搜索关键词(必填) -n, --num :返回数量(默认 10,最大 50...
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| 9835 | elevenlabs-agents | jezweb/claude-skills |
ElevenLabs Agents Platform Overview ElevenLabs Agents Platform is a comprehensive solution for building production-ready conversational AI voice agents. The platform coordinates four core components: ASR (Automatic Speech Recognition) - Converts speech to text (32+ languages, sub-second latency) LLM (Large Language Model) - Reasoning and response generation (GPT, Claude, Gemini, custom models) TTS (Text-to-Speech) - Converts text to speech (5000+ voices, 31 languages, low latency) Turn-Taking ...
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| 9836 | loop | alirezarezvani/claude-skills |
/ar:loop — Autonomous Experiment Loop Start a recurring experiment loop that runs at a user-selected interval. Usage /ar:loop engineering/api-speed Start loop (prompts for interval) /ar:loop engineering/api-speed 10m Every 10 minutes /ar:loop engineering/api-speed 1h Every hour /ar:loop engineering/api-speed daily Daily at ~9am /ar:loop engineering/api-speed weekly Weekly on Monday ~9am /ar:loop engineering/api-speed monthly Monthly on 1st ~9am /...
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| 9837 | feishu-lark | openclaudia/openclaudia-skills |
Feishu / Lark Messaging Skill You are a messaging specialist for Feishu (飞书, ByteDance's Chinese workplace platform) and Lark (the international version). Your job is to send messages, interactive cards, and marketing content to Feishu/Lark group chats via Custom Bot Webhooks or the App Bot API. Prerequisites Check which credentials are available: echo "FEISHU_WEBHOOK_URL is ${FEISHU_WEBHOOK_URL :+ set} " echo "FEISHU_WEBHOOK_SECRET is ${FEISHU_WEBHOOK_SECRET :+ set} " echo "FEISHU_APP_ID is ${F...
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| 9838 | mmx-cli | minimax-ai/skills |
MiniMax CLI — Agent Skill Guide Use mmx to generate text, images, video, speech, music, and perform web search via the MiniMax AI platform. Prerequisites Install npm install -g mmx-cli Auth (OAuth persists to ~/.mmx/credentials.json, API key persists to ~/.mmx/config.json) mmx auth login --api-key sk-xxxxx Verify active auth source mmx auth status Or pass per-call mmx text chat --api-key sk-xxxxx --message "Hello" Region is auto-detected. Override with --region global or --region cn . Agent ...
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| 9839 | tao-run-on-local-docker | nvidia/skills |
Local Docker Single-node execution platform that runs TAO jobs as named Docker containers on a Docker daemon. The daemon can be local to the agent host or remote through DOCKER_HOST=ssh://user@host / a Docker context. It is useful for development, debugging, small runs, and workflows where a local coding agent submits jobs to a remote GPU box. Use local Docker when the data is local to the Docker host or accessible through mounted volumes/cloud credentials. Do not use it for remote cluster sched...
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| 9840 | convex-security-audit | waynesutton/convexskills |
Convex Security Audit Comprehensive security review patterns for Convex applications including authorization logic, data access boundaries, action isolation, rate limiting, and protecting sensitive operations. Documentation Sources Before implementing, do not assume; fetch the latest documentation: Primary: https://docs.convex.dev/auth/functions-auth Production Security: https://docs.convex.dev/production For broader context: https://docs.convex.dev/llms.txt Instructions Security Audit Areas...
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| 9841 | dingtalk-message | breath57/dingtalk-skills |
钉钉消息技能 负责钉钉消息发送的所有操作。本文件为 策略指南 ,仅包含决策逻辑和工作流程。完整 API 请求格式见文末的 references/api.md 查阅索引。 四种消息通道概览 通道 适用场景 认证方式 特点 Webhook 机器人 往指定群发通知 无需 token,URL 自带凭证 最简单;支持加签安全模式 企业内部应用机器人 单聊私信 / 群聊消息 新版 accessToken 可撤回、查已读;需 userId 或 openConversationId 工作通知 以应用身份推送到"工作通知"会话 旧版 access_token + agentId 可推全员/部门;出现在工作通知而非聊天 sessionWebhook 回调中直接回复当前对话 无需任何认证 回调消息自带临时 URL,约 1.5 小时有效 工作流程(每次执行前) 先理解用户意图 → 判断属于哪个消息通道(见下方「场景路由」) 读取配置 → 用一条 grep -E '^KEY1=|^KEY2=' 命令一次性读取该通道所需的全部键值,不要分多次查询。(跨会话保留,所有 dingtalk-skills 共用同一文件)...
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| 9842 | tao-generate-video-reasoning-annotations | nvidia/skills |
Video Reasoning Annotation Pipeline Generate Chain-of-Thought training datasets from videos by producing multi-level captions, structured descriptions, and QA pairs (MCQ, binary, open-ended) with step-by-step reasoning traces. Domain-agnostic by default — customize prompts for any video domain. Purpose Transform raw videos into CoT Q&A training data for video understanding models. VLMs (e.g., Gemini, Qwen) act as "teacher" annotators: Steps 0–1 require the model to see the video (VLM calls); Ste...
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| 9843 | tao-run-automl | nvidia/skills |
TAO AutoML Run automated hyperparameter optimization for a TAO model by combining: The selected model skill under skills/models/<network>/ . The selected platform skill under skills/platform/<platform>/ . AutoMLRunner , which generates recommendations, launches train jobs, extracts metrics, and feeds results back to the optimizer. Do not launch until model metadata, platform preflight, data visibility, credentials, image choice, and compute shape are all proven. Reference Map Show more Installs ...
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| 9844 | frontend-design | customware-ai/skills |
This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices. The user provides frontend requirements: a component, page, application, or interface to build. They may include context about the purpose, audience, or technical constraints. Design Thinking Before coding, understand the context and commit to a BOLD aesthetic direction: Purpose :...
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| 9845 | tao-finetune-clip | nvidia/skills |
CLIP Contrastive Language-Image Pre-training model for zero-shot and fine-tuned image classification, image-text retrieval, and embedding extraction. Fine-tuning adapts CLIP's shared image-text embedding space to domain-specific image-caption data. No default NGC pretrained checkpoint is required for spec construction, but unset checkpoint behavior is action-specific. In the validation-fixes PyTorch image, export.checkpoint: null exports the selected CLIP architecture and may initialize weights ...
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| 9846 | tao-list-capabilities | nvidia/skills |
TAO Skill Bank Capabilities Use this skill when the user asks what tao-skill-bank can do, asks for plugin capabilities, asks which application or data workflows are available, asks which models are supported, or asks what models are capable with AutoML. Quick Start Run scripts/list_tao_capabilities.py for general capability questions, or scripts/list_tao_models.py for model/action and AutoML support questions. Capability Answers For a general capabilities answer, run the packaged helper: ${TAO_S...
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| 9847 | tao-port-huggingface-model | nvidia/skills |
TAO-HF Integration Skill Integrate a HuggingFace (HF) Computer Vision model into the NVIDIA TAO Toolkit ecosystem. Work the phases iteratively — not purely linearly — via a build → test → debug → fix → retest loop at every step: when something fails, diagnose and fix before moving on; when it passes, move to the next step. Show more Installs 577 Repository nvidia/skills GitHub Stars 1.9K First Seen Jun 8, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Fail
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| 9848 | tao-convert-dataset-format | nvidia/skills |
Convert a TAO DAFT Dataset Quick start tao-daft convert < source-format > < target-format > --path < input > --output < output > Source and target are positional subcommands; --path and --output are flags. Discover the supported formats and per-pair flags from the leaf --help (see "CLI conventions" below). Show more Installs 579 Repository nvidia/skills GitHub Stars 1.9K First Seen Jun 8, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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| 9849 | tao-train-image-classification | nvidia/skills |
Classification PyT PyTorch image classification. Supports a wide range of backbones (FAN, EfficientNet, ResNet, etc.) with distillation and quantization for deployment. Set model.backbone.pretrained_backbone_path for backbone weights or train.pretrained_model_path for full model. For TAO Deploy TensorRT actions ( gen_trt_engine , TensorRT evaluate , and TensorRT inference ), read references/tao-deploy-image-classification.md first. Deploy spec templates live in this skill's references/ folder wi...
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1.6K |
| 9850 | tao-train-ocrnet | nvidia/skills |
OCRNet OCRNet for scene text recognition. Recognizes text content from cropped text region images. Supports CTC and attention-based decoders. Set train.pretrained_model_path for pretrained OCR weights. For TAO Deploy TensorRT actions ( gen_trt_engine , TensorRT evaluate , and TensorRT inference ), read references/tao-deploy-ocrnet.md first. Deploy spec templates live in this skill's references/ folder with the spec_template_deploy_*.yaml prefix. Dataclass Schemas Generated TAO Core schemas are p...
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1.6K |