Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
47.966 de skill-uri din 2.309 depozite · actualizat acum 13 ore
47.964 de skill-uri
- web-artifacts-builderanthropics/skillsSuite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.OficialDesignFără avertismente★ 185 K↓ —Apare și în 2 alte depozite
- build-perf-diagnosticsdotnet/skillsDiagnose MSBuild bottlenecks from binlog timelines and Target/Task Performance Summaries after build-perf-baseline establishes measurements. USE FOR: unknown build slowness, RAR >5s, analyzers >30% of Csc, one target >50% of build time, node utilization <80%, excessive Copy tasks, finding restore overhead. DO NOT USE FOR: known repeated-restore fixes (use eliminate-redundant-restores), initial baselines (use build-perf-baseline), incremental rebuilds (use incremental-build), parallelism tuning (use build-parallelism), non-MSBuild builds.ProductivitateFără avertismente★ 5,8 K↓ —
- boltzaipoch/open-scienceStructure prediction for protein, nucleic-acid, and small-molecule complexes with Boltz-2 (Passaro & Wohlwend et al. 2025, github.com/jwohlwend/boltz). Reach for this skill to validate designed binders against a target, to co-fold a protein with a SMILES or CCD ligand, or to get an open-source AlphaFold3 alternative with optional binding-affinity prediction.ȘtiințăFără avertismente★ 5,4 K↓ —
- cachingzebbern/claude-code-guideCaching strategies — invalidation, TTL guidelines, cache keys, cache layers, and when not to cache. Use when implementing or reviewing caching logic.AlteleFără avertismente★ 4,7 K↓ —
- designlang-tokensManavarya09/design-extractUse when styling UI for posthog.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.DesignFără avertismente★ 4,4 K↓ —
- maui-dependency-injectiondotnet/skillsGuidance for configuring dependency injection in .NET MAUI apps — service registration in MauiProgram.cs, lifetime selection (Singleton / Transient / Scoped), constructor injection, Shell navigation auto-resolution, platform-specific registrations, and testability patterns. USE FOR: "dependency injection", "DI setup", "AddSingleton", "AddTransient", "AddScoped", "service registration", "constructor injection", "IServiceProvider", "MauiProgram DI", "register services", "BindingContext injection". DO NOT USE FOR: data binding (use maui-data-binding), Shell route configuration (use maui-shell-navigation), unit-test mocking frameworks (use standard xUnit and NSubstitute patterns).TestareFără avertismente★ 5,8 K↓ —
- sn-image-imitateOpenSenseNova/SenseNova-SkillsGenerates a new image that imitates the style of a reference image while updating content based on user intent. Uses a three-stage pipeline: image annotation (long caption), caption rewriting, and image generation. Use when user asks to "imitate style", "保持这个风格重画", "按这张图风格生成", or "style transfer with new content".MediaFără avertismente★ 6 K↓ —
- agentic-workflowsdotnet/skillsRoute gh-aw workflow design/create/debug/upgrade requests to the right prompts.DesignFără avertismente★ 5,8 K↓ —
- hunt-auth-bypasselementalsouls/Claude-BugHunterHunting skill for auth bypass vulnerabilities. Built from 12 public bug bounty reports across SAML XSW / parser-differential (GitHub Enterprise CVE-2025-25291/25292), SAML signature stripping (Uber, Rocket.Chat, samlify CVE-2025-47949), SAML domain enforcement bypass via control characters (HackerOne 2024), partner-portal cross-IdP assertion reuse (Slack), WordPress XMLRPC bypassing SSO (Uber), JWT alg-confusion HS256/RS256 (Jitsi), JWT signature-validation skip (Linktree, Newspack), and token-audience confusion (Argo CD CVE-2023-22482). For standalone JWT signature/crypto forging (alg:none, key confusion, kid/jku) see hunt-jwt-crypto; this skill covers JWT only inside SSO/SAML/token-trust bypass chains. SAML assertion-layer attacks (XSW, comment injection, signature stripping, XXE-in-assertion) are owned by hunt-saml; this skill owns the broader cross-protocol auth-bypass taxonomy. Use when hunting auth bypass — see the Legacy-Protocol Matrix for branded-UI vs legacy-endpoint patterns.SecuritateFără avertismente★ 5,4 K↓ —
- mcp-builderanthropics/skillsGuide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).OficialInginerieFără avertismente★ 185 K↓ —Apare și în 1 alt depozit
- r3f-best-practiceszebbern/claude-code-guideReact Three Fiber (R3F) and Poimandres ecosystem best practices. Use when writing, reviewing, or optimizing R3F code. Triggers on tasks involving @react-three/fiber, @react-three/drei, zustand, @react-three/postprocessing, @react-three/rapier, or leva.RedactareFără avertismente★ 4,7 K↓ —
- test-analysis-extensionsdotnet/skillsProvides file paths to language-specific reference files for the test ANALYSIS skills (assertion-quality, test-anti-patterns, test-gap-analysis, test-smell-detection, test-tagging). Read this catalog to discover available extension files (e.g., dotnet.md for .NET/MSTest/xUnit/NUnit/TUnit, python.md for pytest/unittest, typescript.md for Jest/Vitest/Mocha, java.md for JUnit/TestNG, etc.). Do not invoke this reference-only skill — its bundled files are read by the quality agent and analysis skills needing framework-specific lookup tables (test markers, assertion APIs, skip annotations, sleep patterns, mystery guest indicators, integration markers, setup/teardown, tag-support capability).TestareFără avertismente★ 5,8 K↓ —
- melonjs-sprites-and-animationmelonjs/melonJSUse this skill when creating sprites, playing frame animations, or working with texture atlases in melonJS. Covers Sprite construction from a plain image or an atlas region, addAnimation/setCurrentAnimation, TextureAtlas for TexturePacker/ShoeBox/Aseprite, tint, flip, NineSliceSprite, and the centred anchorPoint that offsets naive positioning. Triggers on: Sprite, new Sprite, addAnimation, setCurrentAnimation, isCurrentAnimation, TextureAtlas, TexturePacker, Aseprite, ShoeBox, atlas, region, framewidth, frameheight, tint, flipX, flipY, NineSliceSprite, animation.MediaFără avertismente★ 6,4 K↓ —
- genvm-lintinternet-court/internet-court-skillValidate GenLayer intelligent contracts with the GenVM linter.AlteleFără avertismente★ 7 K↓ —
- category-filtering-and-difficulty-analysisOpenSenseNova/SenseNova-Skills对Excel数据进行自定义分类统计、交叉分析与可视化,并基于多维度指标(如文本长度、术语密度、正则匹配等)进行综合评分与分级,适用于多类别数据分布统计及文本内容难度/质量评估场景。DocumenteFără avertismente★ 6 K↓ —
- categorical-comparison-analysisOpenSenseNova/SenseNova-Skills对两类分类数据进行对比分析,统计数量差异与比例关系并生成可视化图表。AlteleFără avertismente★ 6 K↓ —
- okx-dex-marketinternet-court/internet-court-skillHARD BLOCK — never use for prediction-market/Polymarket UpDown queries; route to okx-dapp-discovery when a named DApp (Polymarket/Aave/Hyperliquid/PancakeSwap/Morpho) appears with a timeframe, or 涨跌/updown for BTC/ETH/SOL/XRP/BNB/DOGE/HYPE. Otherwise, read-only on-chain DEX data, 6 groups: TOKEN (search, hot/热门, liquidity, holders/whale, risk metadata, cluster/持仓集中度, trade history, top traders); MARKET (price/价格, K线/OHLC, index price, wallet PnL/胜率, trade history); SIGNAL (smart money/KOL/whale tracking, buy signals/信号, leaderboard/牛人榜); SOCIAL (news/新闻, sentiment/情绪, token vibe/热度, KOL leaderboard); TRENCHES (pump.fun/meme launches/新盘/扫链, dev reputation, bundle/sniper detection/捆绑狙击者, co-investor — read-only; buy/snipe → okx-dapp-discovery); WS (onchainos ws CLI, or custom WebSocket script/脚本). Also owns Market API payment/x402, quota/额度, and MARKET_API_*_OVER_QUOTA/confirming:true for all 6 groups.FinanțeFără avertismente★ 7 K↓ —
- wireshark-analysiszebbern/claude-code-guideThis skill should be used when the user asks to "analyze network traffic with Wireshark", "capture packets for troubleshooting", "filter PCAP files", "follow TCP/UDP streams", "detect network anomalies", "investigate suspicious traffic", or "perform protocol analysis". It provides comprehensive techniques for network packet capture, filtering, and analysis using Wireshark.FinanțeFără avertismente★ 4,7 K↓ —
- design-system-builderzebbern/claude-code-guideExtract design systems from reference UI images and generate implementation-ready UI design prompts. Use when users provide UI screenshots/mockups and want to create consistent designs, generate design systems, or build MVP UIs matching reference aesthetics.DesignFără avertismente★ 4,7 K↓ —
- dynamic-large-file-parquet-analysisOpenSenseNova/SenseNova-Skills动态统计Excel总行数,当数据量过大(≥10000行)时自动转换为Parquet格式加速读取,并对指定目标列进行条件筛选、分类汇总与结果导出,适用于超大体积Excel文件的快速读取与统计分析。DocumenteFără avertismente★ 6 K↓ —
- designlang-tokensManavarya09/design-extractUse when styling UI for framer.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.DesignFără avertismente★ 4,4 K↓ —
- academic-paper-reviewerzebbern/claude-code-guideSimulates academic peer review, evaluating papers across Originality, Methodology, Results, and Writing to provide Major/Minor Revision recommendations with actionable feedback. Triggers when a user asks to "review my paper," "simulate peer review," or "give my paper a peer review.ȘtiințăFără avertismente★ 4,7 K↓ —
- excel-multi-sheet-dynamic-analysisOpenSenseNova/SenseNova-Skills用于分析包含多个Sheet的Excel文件,动态判断数据量级以决定是否转换为Parquet进行大文件处理,并支持跨Sheet的特定字段统计、数据清洗、交叉分析与可视化,最终生成带下载链接的汇总报告。DocumenteFără avertismente★ 6 K↓ —
- excel-sheet-filter-exportOpenSenseNova/SenseNova-Skills动态统计多Sheet Excel文件行数以判断大文件处理逻辑,并根据特定条件筛选数据、重命名字段后导出为包含下载链接的新Excel文件,适用于多Sheet数据探查与条件过滤导出场景。DocumenteFără avertismente★ 6 K↓ —
condition-filtering-and-large-file-optimization
OpenSenseNova/SenseNova-Skills
AlteleActualizat alaltăieri
De la autor
根据数据规模动态选择处理策略。
Instalare
npx skills add OpenSenseNova/SenseNova-Skills --skill condition-filtering-and-large-file-optimization -a claude-code
Se instalează în .claude/skills/condition-filtering-and-large-file-optimization/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Doar instrucțiuniNu am văzut acces la rețeaLicență: MIT
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De ce 91
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Proveniență85
Întreținere100
Licență100
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- SKILL.md