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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 6401 | web-design-guidelines | bytedance/deer-flow |
Web Interface Guidelines Review files for compliance with Web Interface Guidelines. How It Works Fetch the latest guidelines from the source URL below Read the specified files (or prompt user for files/pattern) Check against all rules in the fetched guidelines Output findings in the terse file:line format Guidelines Source Fetch fresh guidelines before each review: https://raw.githubusercontent.com/vercel-labs/web-interface-guidelines/main/command.md Use WebFetch to retrieve the latest rules. Th...
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1.9K |
| 6402 | image-3d | starchild-ai-agent/official-skills |
image-3d Use this skill for all 3D-style image generation requests on Starchild. Covers: 3D character design (chibi, realistic, cartoon, fantasy), 3D product renders (floating, exploded, turntable), isometric dioramas & miniature scenes, 3D app icons (iOS, Material, game), 3D text effects (chrome, neon, wood, candy), interior design visualization (modern, luxury, cozy, industrial), architectural rendering (modern, traditional, futuristic, aerial, night), 3D scenes (fantasy, sci-fi, nature, urban...
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| 6403 | codeql | github/awesome-copilot |
CodeQL Static Analysis When to Use CodeQL Ideal scenarios: Source code access with ability to build (for compiled languages) Open-source projects or GitHub Advanced Security license Need for interprocedural data flow and taint tracking Finding complex vulnerabilities requiring AST/CFG analysis Comprehensive security audits where analysis time is not critical Consider Semgrep instead when: No build capability for compiled languages Licensing constraints Need fast, lightweight pattern matching...
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1.9K |
| 6404 | harvard-art-museum-data-pipeline | aradotso/data-skills |
Harvard Art Museum Data Pipeline Skill by ara.so — Data Skills collection. This skill enables you to build end-to-end data engineering pipelines using the Harvard Art Museums API. Extract artifact metadata, transform nested JSON into relational tables, load into SQL databases, and create interactive analytics dashboards with Streamlit. What It Does The Harvard Artifacts Collection Data Engineering Analytics App provides: API Integration : Fetch artifact data from Harvard Art Museums API with pag...
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1.9K |
| 6405 | harvard-artifacts-data-engineering-app | aradotso/data-skills |
Harvard Artifacts Collection Data Engineering Analytics App Skill by ara.so — Data Skills collection. An end-to-end data engineering and analytics application that demonstrates real-world ETL pipelines using the Harvard Art Museums API. This project extracts artifact data, transforms it into relational structures, loads it into MySQL/TiDB, and provides interactive SQL-based analytics dashboards through Streamlit. What This Project Does API Integration : Fetches artifact data from Harvard Art Mus...
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1.9K |
| 6406 | recsys-pipeline-architect | affaan-m/everything-claude-code |
recsys-pipeline-architect A spec-and-scaffold skill for building composable recommendation, ranking, and feed pipelines. It encodes the six-stage pattern — Source → Hydrator → Filter → Scorer → Selector → SideEffect — popularized by xAI's open-sourced For You algorithm (Apache 2.0). This skill is an independent reimplementation of the pattern (MIT) — no code copied from the original. Upstream: https://github.com/mturac/recsys-pipeline-architect When to Use User wants to build any system that pic...
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1.9K |
| 6407 | harvard-artifacts-collection-analytics-pipeline | aradotso/data-skills |
Harvard Artifacts Collection Analytics Pipeline Skill by ara.so — Data Skills collection. Overview This project provides a complete data engineering solution for the Harvard Art Museums API, featuring: ETL pipeline for artifact metadata, media, and color data SQL database storage (MySQL/TiDB Cloud) 20+ analytical SQL queries Interactive Streamlit dashboard with Plotly visualizations The architecture follows: API → ETL → SQL → Analytics → Visualization Installation Show more Installs 561 Reposito...
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| 6408 | nts-business-registration | nomadamas/k-skill |
국세청 사업자등록정보 진위확인 및 상태조회 What this skill does 공공데이터포털의 국세청_사업자등록정보 진위확인 및 상태조회 서비스 를 k-skill-proxy 경유로 호출해 다음을 확인한다. status : 사업자등록번호 기준 상태조회 ( 계속사업자 , 휴업자 , 폐업자 , 과세유형 등 upstream 응답 그대로 포함) validate : 사업자등록번호 + 개업일자 + 대표자명(및 선택 필드) 기준 진위확인 When to use "이 사업자등록번호가 계속사업자인지 확인해줘" "사업자등록번호 상태조회해줘" "사업자등록번호, 개업일, 대표자명으로 진위확인해줘" 거래처 등록 전 공식 NTS/공공데이터포털 기준 확인이 필요할 때 Prerequisites Show more
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| 6409 | harvard-artifacts-collection-etl-analytics | aradotso/data-skills |
Harvard Artifacts Collection ETL Analytics Skill by ara.so — Data Skills collection. This project provides a complete data engineering and analytics solution for the Harvard Art Museums API. It demonstrates ETL pipeline construction, relational database design, SQL analytics, and interactive visualization using Streamlit. The application extracts artifact metadata, transforms nested JSON into structured tables, loads data into SQL databases, and provides 20+ analytical queries with auto-generate...
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| 6410 | rag-perf | nvidia/skills |
RAG-Perf — config-driven perf benchmark CLI Purpose Drive a deployed NVIDIA RAG Blueprint server with a YAML config, run a server-side profiling pass (per-stage timing, citation quality, bottleneck inference) and an optional aiperf load test (TTFT / E2E / token & request throughput / error rate), and write a unified report. The CLI is intentionally minimal: rag-perf -c <config> plus --help / --version . Behaviour is fully config-driven; field variations belong in YAML. Scope Accuracy / RAGAS sco...
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1.9K |
| 6411 | harvard-artifacts-collection-data-engineering-analytics | aradotso/data-skills |
Harvard Artifacts Collection Data Engineering Analytics Skill by ara.so — Data Skills collection. This skill enables AI coding agents to build end-to-end data engineering and analytics applications using the Harvard Art Museums API. It demonstrates real-world ETL pipelines, SQL database design, analytical queries, and interactive data visualization with Streamlit. What This Project Does The Harvard Artifacts Collection app provides a complete data pipeline from API to visualization: Data Collect...
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1.9K |
| 6412 | tutor | roundtable02/tutor-skills |
Tutor Skill Quiz-based tutor that tracks what the user knows and doesn't know at the concept level . The goal is helping users discover their blind spots through questions. File Structure StudyVault/ ├── *dashboard* ← Compact overview: proficiency table + stats └── concepts/ ├── {area-name}.md ← Per-area concept tracking (attempts, status, error notes) └── ... Dashboard : Only aggregated numbers. Links to concept files. Stays small forever. Concept files : One per area. Tracks...
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| 6413 | gangnamunni-clinic-search | nomadamas/k-skill |
Gangnam Unni Clinic Search What this skill does 강남언니(Gangnam Unni) 웹 검색 페이지의 비로그인 공개 Next.js payload 를 읽어 병원 후보를 조회한다. 키워드로 병원 후보를 검색한다. 공개 검색 결과에 포함된 평점, 평점 수, 리뷰 수, 지원 언어, 공개 이미지, 병원 링크를 정리한다. 예약, 상담, 결제, 리뷰 작성, 앱 로그인 등 사용자 계정이 필요한 액션은 하지 않는다. When to use "강남언니에서 강남 성형외과 찾아줘" "강남언니 병원 평점이랑 리뷰 수 봐줘" "코성형 병원 후보를 강남언니 기준으로 몇 개만 보여줘" "성형외과/피부과 병원 공개 링크를 찾아줘" When not to use Show more
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| 6414 | harvard-artifacts-etl-streamlit-analytics | aradotso/data-skills |
Harvard Artifacts ETL & Analytics Skill Skill by ara.so — Data Skills collection. This skill enables you to build end-to-end data engineering and analytics applications using the Harvard Art Museums API. The project demonstrates real-world ETL pipelines, SQL database design, analytical queries, and interactive Streamlit dashboards with Plotly visualizations. What This Project Does The Harvard Artifacts Collection application provides: API Integration : Fetch artifact data from Harvard Art Museum...
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1.9K |
| 6415 | harvard-artifacts-collection-data-engineering | aradotso/data-skills |
Harvard Artifacts Collection Data Engineering Skill by ara.so — Data Skills collection. This project provides an end-to-end data engineering and analytics application built on the Harvard Art Museums API. It demonstrates real-world ETL pipelines, SQL database design, analytical queries, and interactive visualization using Streamlit. The architecture follows: API → ETL → SQL → Analytics → Visualization. What This Project Does API Integration : Fetches artifact data from Harvard Art Museums API wi...
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1.9K |
| 6416 | sentry-php-sdk | getsentry/sentry-for-ai |
All Skills > SDK Setup > PHP SDK Sentry PHP SDK Opinionated wizard that scans your PHP project and guides you through complete Sentry setup. Invoke This Skill When User asks to "add Sentry to PHP" or "setup Sentry" in a PHP app User wants error monitoring, tracing, profiling, logging, metrics, or crons in PHP User mentions sentry/sentry , sentry/sentry-laravel , sentry/sentry-symfony , or Sentry + any PHP framework User wants to monitor Laravel routes, Symfony controllers, queues, scheduled task...
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1.9K |
| 6417 | database-design | sickn33/antigravity-awesome-skills |
Database Design Learn to THINK, not copy SQL patterns. 🎯 Selective Reading Rule Read ONLY files relevant to the request! Check the content map, find what you need. File Description When to Read database-selection.md PostgreSQL vs Neon vs Turso vs SQLite Choosing database orm-selection.md Drizzle vs Prisma vs Kysely Choosing ORM schema-design.md Normalization, PKs, relationships Designing schema indexing.md Index types, composite indexes Performance tuning optimization.md N+1, EXPLAIN ANALYZE Que...
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| 6418 | expect | millionco/expect |
Expect You verify code changes in a real browser before claiming they work. No browser evidence, no completion claim. Use the expect MCP tools ( open , playwright , screenshot , etc.) for all browser interactions. Do not use raw browser tools (Playwright MCP, chrome tools, etc.) unless the user explicitly asks. Subagent Usage Browser verification is best run in a subagent (Task tool) or background shell so the main thread stays free for code edits. This keeps the conversation responsive — you ca...
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1.9K |
| 6419 | spring-boot-testing | github/awesome-copilot |
Spring Boot Testing This skill provides expert guide for testing Spring Boot 4 applications with modern patterns and best practices. Core Principles Test Pyramid : Unit (fast) > Slice (focused) > Integration (complete) Right Tool : Use the narrowest slice that gives you confidence AssertJ Style : Fluent, readable assertions over verbose matchers Modern APIs : Prefer MockMvcTester and RestTestClient over legacy alternatives Which Test Slice? Scenario Annotation Reference Controller + HTTP semanti...
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1.9K |
| 6420 | fuck-slop | juliusbrussee/skills |
F*ck Slop Strip every mark of AI writing from a text and make it good in its genre. Not "make it pass a detector" — make it read like a specific person with a specific point wrote it for a specific audience. Why this is a loop, not a style guide The worst tells — above all the "not X but Y" family — are not vocabulary mistakes. They are emergent properties of how LLMs generate text: preference tuning rewards balanced, contrastive, comprehensive-sounding framing, so the contrast move is baked int...
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1.9K |
| 6421 | clean-architecture | pproenca/dot-skills |
Clean Architecture Framework A disciplined approach to structuring software so that business rules remain independent of frameworks, databases, and delivery mechanisms. Apply these principles when designing system architecture, reviewing module boundaries, or advising on dependency management. Core Principle Source code dependencies must point inward -- toward higher-level policies. Nothing in an inner circle can know anything about something in an outer circle. This single rule, applied consist...
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1.9K |
| 6422 | powerpoint-automation | aktsmm/agent-skills |
PowerPoint Automation AI-powered PPTX generation pipeline using Orchestrator-Workers pattern. Automatically extracts content, translates, applies templates, and performs quality reviews. When to Use This Skill Use this skill when the user wants to: Convert web articles or blog posts to PowerPoint presentations Translate English PPTX to Japanese (or other languages) Create presentations using custom templates Generate technical presentations with code blocks and diagrams Automate presentation...
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1.9K |
| 6423 | document-writer | onmax/nuxt-skills |
Documentation Writer for Nuxt Ecosystem Writing guidance for blog posts and documentation following patterns from official Nuxt websites. When to Use Writing blog posts for Nuxt ecosystem projects Creating or editing documentation pages Ensuring consistent writing style across content Writing Standard Override: When writing documentation, maintain proper grammar and complete sentences. The "sacrifice grammar for brevity" rule does NOT apply here. Documentation must be: Grammatically correct...
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1.9K |
| 6424 | gif-sticker-maker | minimax-ai/skills |
gif-sticker-maker Curated from MiniMax AI team. What it does Convert photos into animated GIF stickers in Funko Pop / Pop Mart style via the MiniMax API. Useful for personalized chat stickers and avatar packs. Source Upstream: https://github.com/MiniMax-AI/skills Category: image-generation How to use This catalogue entry advertises the skill in Open Design so the agent discovers it during planning. To run the full upstream workflow with its original assets, scripts, and references, install the u...
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| 6425 | cuopt-numerical-optimization-formulation | nvidia/skills |
Numerical Optimization Formulation Concepts and workflow for going from a problem description to a clear formulation across LP, MILP, and QP. No API code here. What is LP / MILP / QP LP : Linear objective, linear constraints, continuous variables. MILP : Same as LP plus some integer or binary variables (e.g., scheduling, facility location, selection). QP : Quadratic objective (e.g., x², x·y terms — portfolio variance, least squares), linear constraints. QP support in cuOpt is currently in beta. ...
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| 6426 | dali-dynamic-mode | nvidia/skills |
DALI Dynamic Mode Purpose Guide AI agents in writing, reviewing, and migrating code that uses DALI's imperative dynamic-mode API, nvidia.dali.experimental.dynamic ( ndd ). Instructions Import dynamic mode as nvidia.dali.experimental.dynamic as ndd and write code as direct ndd calls in ordinary Python; do not use pipeline-mode APIs such as Pipeline , @pipeline_def , pipe.build() , or pipe.run() . Treat readers as stateful: create them once, reuse them across epochs, and pass batch_size to next_ep...
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| 6427 | physical-ai-neural-reconstruction | nvidia/skills |
Physical AI Neural Reconstruction (NuRec) Router Purpose This is a thin router for NVIDIA Neural Reconstruction (NuRec) requests. It points at the upstream nurec-index skill at https://github.com/NVIDIA/nurec-skills and its five sibling skills ( physical-ai-datasets , ncore , nre , asset-harvester , nurec-fixer ). Use this skill to: Identify which upstream sibling skill answers a NuRec question. Locate, clone, or refresh the canonical nurec-skills checkout. Order multi-step NuRec workflows (data...
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| 6428 | pulumi-best-practices | pulumi/agent-skills |
Invoke this skill when: - Writing new Pulumi programs or components - Reviewing Pulumi code for correctness - Refactoring existing Pulumi infrastructure - Debugging resource dependency issues - Setting up configuration and secrets Practices 1. Never Create Resources Inside `apply()` Why: Resources created inside `apply()` don't appear in `pulumi preview`, making changes unpredictable. Pulumi cannot properly track dependencies, leading to race conditions and deployment failures. Detect...
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| 6429 | senior-fullstack | sickn33/antigravity-awesome-skills |
Senior Fullstack Complete toolkit for senior fullstack with modern tools and best practices. Quick Start Main Capabilities This skill provides three core capabilities through automated scripts: Script 1: Fullstack Scaffolder python scripts/fullstack_scaffolder.py [ options ] Script 2: Project Scaffolder python scripts/project_scaffolder.py [ options ] Script 3: Code Quality Analyzer python scripts/code_quality_analyzer.py [ options ] Core Capabilities 1. Fullstack Scaffolder Automated tool fo...
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| 6430 | bailian-docs-llm-wiki | modelstudioai/skills |
百炼文档知识库 阿里云百炼平台的完整技术文档知识库,涵盖模型使用、应用开发、API 参考等内容。 何时使用 当用户涉及以下场景时激活此 Skill: 查询百炼平台的模型列表、模型参数、调用方式(含具体模型的 contextWindow、QPM、定价、sample code 等结构化字段 → 查 models/ ) 查阅百炼 API 参数、请求/响应格式、错误码 了解百炼应用开发(智能体、RAG、知识库、记忆、插件等) 选择模型、比较模型能力、了解模型定价与限流 使用百炼 SDK / OpenAI 兼容接口 语音识别、语音合成、图片生成、视频生成等多模态能力 Token Plan、计费、免费额度等商务问题 何时 不要 使用 下面这些场景与百炼文档无关, 不要激活 本 Skill: Show more
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| 6431 | senior-frontend | davila7/claude-code-templates |
Senior Frontend Complete toolkit for senior frontend with modern tools and best practices. Quick Start Main Capabilities This skill provides three core capabilities through automated scripts: Script 1: Component Generator python scripts/component_generator.py [ options ] Script 2: Bundle Analyzer python scripts/bundle_analyzer.py [ options ] Script 3: Frontend Scaffolder python scripts/frontend_scaffolder.py [ options ] Core Capabilities 1. Component Generator Automated tool for component gen...
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| 6432 | agent-browser | whytryharder/skills |
Browser Automation with agent-browser The CLI uses Chrome/Chromium via CDP directly. Install via npm i -g agent-browser , brew install agent-browser , or cargo install agent-browser . Run agent-browser install to download Chrome. Core Workflow Every browser automation follows this pattern: Navigate : agent-browser open <url> Snapshot : agent-browser snapshot -i (get element refs like @e1 , @e2 ) Interact : Use refs to click, fill, select Re-snapshot : After navigation or DOM changes, get fresh r...
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| 6433 | technical-roadmaps | refoundai/lenny-skills |
Technical Roadmaps Help the user create effective technical roadmaps using frameworks and insights from 1 product leader. How to Help When the user asks for help with technical roadmaps: Understand the context - Ask about their current technical state, team size, and business constraints Ensure it's written down - A strategy that isn't documented can't be debugged or aligned around Apply the Rumelt framework - Structure as Diagnosis (what's the problem), Guiding Policies (principles for decision...
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| 6434 | tailwindcss-mobile-first | josiahsiegel/claude-plugin-marketplace |
Mobile-First Responsive Design (2025/2026) Core Philosophy Mobile-first design is the industry standard for 2025/2026. With mobile traffic consistently exceeding 60% of global web traffic and Google's mobile-first indexing, starting with mobile ensures optimal user experience and SEO performance. The Mobile-First Mindset <!-- CORRECT: Mobile-first (progressive enhancement) --> <div class="text-sm md:text-base lg:text-lg"> Start small, enhance upward </div> <!-- INCORRECT: Desktop-first (gra...
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| 6435 | agentkey | chainbase-labs/agentkey |
AgentKey Skip to Query. Step 0 — Preflight (run once, before anything) Version check (skip silently on any error; never block the user's request on it): MCP clients: if agentkey_skill_meta is in list_tools , call it once with {} . A non-empty skill_version_latest that differs from this file's frontmatter version: is an upgrade signal; any other outcome (missing / invalid / empty / equal) → continue. Bash clients (e.g. Claude Code): bash "${CLAUDE_PLUGIN_ROOT:-$HOME/.claude}/skills/agentkey/scrip...
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| 6436 | rest-api-design | aj-geddes/useful-ai-prompts |
REST API Design Overview Design REST APIs that are intuitive, consistent, and follow industry best practices for resource-oriented architecture. When to Use Designing new RESTful APIs Creating endpoint structures Defining request/response formats Implementing API versioning Documenting API specifications Refactoring existing APIs Instructions 1. Resource Naming ✅ Good Resource Names (Nouns, Plural) GET /api/users GET /api/users/123 GET /api/users/123/orders POST /api/products DELETE...
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| 6437 | flowstudio-power-automate-build | github/awesome-copilot |
Build & Deploy Power Automate Flows with FlowStudio MCP Step-by-step guide for constructing and deploying Power Automate cloud flows programmatically through the FlowStudio MCP server. Prerequisite : A FlowStudio MCP server must be reachable with a valid JWT. See the flowstudio-power-automate-mcp skill for connection setup. Subscribe at https://mcp.flowstudio.app Source of Truth Always call tools/list first to confirm available tool names and their parameter schemas. Tool names and parameters ma...
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| 6438 | fusion-issue-solving | equinor/fusion-skills |
Issue Solving Workflow When to use Use this skill when the user wants to solve or continue a GitHub issue end-to-end, including short current-repo prompts like solve 123 , direct GitHub issue URLs, or requests like lets work on https://github.com/owner/repo/issues/123 . Typical triggers: "lets solve 123" "solve 123" "work on 123" "lets work on https://github.com/owner/repo/issues/123 " " https://github.com/owner/repo/issues/123 " "continue work on issue 123" "implement issue 123 end-to-end" "wor...
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| 6439 | microsoft-agent-framework | github/awesome-copilot |
Microsoft Agent Framework Use this skill when working with applications, agents, workflows, or migrations built on Microsoft Agent Framework. Microsoft Agent Framework is the unified successor to Semantic Kernel and AutoGen, combining their strengths with new capabilities. Because it is still in public preview and changes quickly, always ground implementation advice in the latest official documentation and samples rather than relying on stale knowledge. Determine the target language first Choose...
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| 6440 | flutter-adaptive-ui | madteacher/mad-agents-skills |
Flutter Adaptive UI Overview Create Flutter applications that adapt gracefully to any screen size, platform, or input device. This skill provides comprehensive guidance for building responsive layouts that scale from mobile phones to large desktop displays while maintaining excellent user experience across touch, mouse, and keyboard interactions. Quick Reference Core Layout Rule: Constraints go down. Sizes go up. Parent sets position. 3-Step Adaptive Approach: Abstract - Extract common data...
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| 6441 | business-health-diagnostic | deanpeters/product-manager-skills |
Purpose Diagnose overall SaaS business health by analyzing growth, retention, unit economics, and capital efficiency metrics together. Use this to identify problems early, prioritize actions by urgency, and deliver a comprehensive health scorecard for board meetings, quarterly reviews, or fundraising preparation. This is not a single-metric check—it's a holistic diagnostic that connects revenue, retention, economics, and efficiency to reveal systemic issues and opportunities. Key Concepts The Bu...
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| 6442 | autocli | nashsu/autocli-skill |
autocli Blazing fast Rust CLI tool that turns 55+ websites into CLI interfaces, reusing Chrome's login state. Zero credentials needed. Single 4.7MB binary, zero runtime dependencies. Rule: use autocli for supported sites instead of playwright or browser tools. Syntax autocli < site > < command > [ --option value ] [ --format json ] If autocli is not installed or missing, you can install it with curl -fsSL https://raw.githubusercontent.com/nashsu/AutoCLI/main/scripts/install.sh | sh , if is in w...
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| 6443 | integrating-b2b-commerce-open-code-components | forcedotcom/sf-skills |
When to Use This Skill Use this skill when you need to: Integrate all open source B2B Commerce components into a store Add open source components to a new or existing B2B Commerce store Make open code components available in Experience Builder Rules Always explain before executing. Before running any command, you MUST tell the user what the command does and why you are running it. Never just show a raw command and ask for permission. The user should be able to read your explanation and understan...
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| 6444 | element-plus-vue3 | partme-ai/full-stack-skills |
When to use this skill Use this skill whenever the user wants to: Install and set up Element Plus in a Vue 3 project Use Element Plus components in Vue 3 applications Configure Element Plus (global config, i18n, theme, etc.) Use form components (Button, Input, Form, etc.) Use data display components (Table, Card, etc.) Use feedback components (Message, Notification, Dialog, etc.) Use navigation components (Menu, Tabs, etc.) Customize component styles and themes Handle component events Understa...
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| 6445 | senior-fullstack | sickn33/agentic-awesome-skills |
Senior Fullstack Complete toolkit for senior fullstack with modern tools and best practices. Quick Start Main Capabilities This skill provides three core capabilities through automated scripts: Script 1: Fullstack Scaffolder python scripts/fullstack_scaffolder.py [ options ] Script 2: Project Scaffolder python scripts/project_scaffolder.py [ options ] Script 3: Code Quality Analyzer python scripts/code_quality_analyzer.py [ options ] Core Capabilities 1. Fullstack Scaffolder Automated tool fo...
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| 6446 | ppt-template-creator | anthropics/financial-services |
PPT Template Creator This skill creates SKILLS, not presentations. Use this when a user wants to turn their PowerPoint template into a reusable skill that can generate presentations later. If the user just wants to create a presentation, use the pptx skill instead. The generated skill includes: assets/template.pptx - the template file SKILL.md - complete instructions (no reference to this meta skill needed) For general skill-building best practices , refer to the skill-creator skill. This skill ...
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| 6447 | nemotron-customize | nvidia/skills |
nemotron-customize IMPORTANT: Read this file before answering any nemotron-customize , Nemotron customization, Curator curation, translation, SFT, PEFT, RL, conversion, optimization, checkpoint or existing/hosted-endpoint evaluation, or multi-step pipeline request. This applies whether the user names one step or asks you to compose several steps into a pipeline. Evaluation requests count even when no training is involved: "evaluate", "benchmark", "smoke test", or "score" an existing/hosted endpo...
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| 6448 | sentry-go-sdk | getsentry/sentry-for-ai |
All Skills > SDK Setup > Go SDK Sentry Go SDK Opinionated wizard that scans your Go project and guides you through complete Sentry setup. Invoke This Skill When User asks to "add Sentry to Go" or "setup Sentry" in a Go app User wants error monitoring, tracing, logging, metrics, or crons in Go User mentions sentry-go , github.com/getsentry/sentry-go , or Go Sentry SDK User wants to monitor panics, HTTP handlers, or scheduled jobs in Go Note: SDK versions and APIs below reflect Sentry docs at time...
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| 6449 | brightdata-cli | brightdata/skills |
Bright Data CLI The Bright Data CLI ( brightdata or bdata ) gives you full access to Bright Data's web data platform from the terminal. It handles authentication, proxy zones, anti-bot bypass, CAPTCHA solving, and JavaScript rendering automatically — the user just needs to log in once. Installation If the CLI is not installed yet, guide the user: macOS / Linux: curl -fsSL https://cli.brightdata.com/install.sh | bash Windows or manual install (any platform): npm install -g @brightdata/cli Without...
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| 6450 | issue-fields-migration | github/awesome-copilot |
Issue Fields Migration Bulk-copy field values from Project V2 fields or repo labels to org-level issue fields. This skill guides you through discovering field mappings, previewing changes, and executing the migration with progress reporting. Supports two migration sources: project fields (single project) and repo labels (one or more repos). When to Use User added org-level issue fields that overlap with existing project fields User wants to copy values from project fields to issue fields before ...
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