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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.
45.604 skill-uri din 2.205 depozite · actualizat acum 20 de ore
45.604 skill-uri
- hunt-rag-vectorelementalsouls/Claude-BugHunterHunt vector-store / embedding-layer weaknesses in RAG pipelines (OWASP LLM08 Vector and Embedding Weaknesses) — persistent corpus poisoning that survives across sessions and users (distinct from one-shot indirect prompt injection, which is owned by hunt-llm-ai), cross-tenant vector-database IDOR (unauthenticated or unscoped queries against Pinecone/Weaviate/Chroma/Milvus/Qdrant/pgvector), source-text/metadata leakage in similarity-search results, and retrieval-hijack via adversarial embedding proximity ('SEO poisoning' for RAG). Targets: any app with a shared knowledge base, document upload feeding a chatbot, or a directly reachable vector-DB port. Validate: a second, clean session/account must inherit a poisoned result, or a cross-tenant artifact must be independently verifiable — confabulation is not a finding, same bar as hunt-llm-ai. Use when target is RAG-backed, exposes a vector-DB port, or lets users upload documents that other users' queries later retrieve.SecuritateFără avertismente★ 5,3 K↓ —
- sn-da-large-file-analysisOpenSenseNova/SenseNova-Skills万行以上 Excel 数据集的高性能分析引擎。提供 openpyxl read_only 流式读取（iter_rows 支持 10 万行以上）、Parquet 转换加速、内存优化、分块处理和大文件写入模式。**遇到以下任一情况就主动使用本 skill**：①数据行数 ≥ 10k（由 sn-da-excel-workflow 的行数评估步骤触发）；②用户出现触发词：大文件 / 大数据量 / 性能优化 / 内存不足 / OOM / 百万行 / 十万行 / 流式读取 / Parquet / 分块处理 / large file / big data / streaming read / chunked processing；③直接使用 pd.read_excel() 导致超时或内存溢出；④用户明确要求对大规模数据集进行高性能处理。仅不用于：小于 10k 行的常规 Excel 分析（使用 sn-da-excel-workflow 即可）。DocumenteFără avertismente★ 5,9 K↓ —
- slr-prismabrycewang-stanford/Auto-Empirical-Research-SkillsGuide users through writing a systematic literature review (SLR) following the PRISMA 2020 framework. Use this skill whenever the user mentions 'systematic review', 'systematic literature review', 'SLR', 'PRISMA', 'PRISMA 2020', 'PRISMA flow diagram', 'PRISMA checklist', or asks for help writing, structuring, or auditing a literature review that follows reporting guidelines. Also trigger when the user asks about inclusion/exclusion criteria for a review, search strategies for databases like Scopus/WoS/PubMed, study selection processes, risk of bias assessment, or narrative synthesis for a review paper. This skill covers the full PRISMA 2020 checklist (27 items), produces a Word document manuscript in strict journal article format, generates an annotated PRISMA flow diagram, and enforces APA 7th Edition referencing throughout. It does NOT cover meta-analysis or statistical pooling. By Chuah Kee Man.DocumenteFără avertismente★ 4,8 K↓ —
- stop-slopbrycewang-stanford/Auto-Empirical-Research-SkillsRemove AI writing patterns from prose. Use when drafting, editing, or reviewing text to eliminate predictable AI tells.RedactareFără avertismente★ 4,8 K↓ —
- sn-report-format-discoveryOpenSenseNova/SenseNova-Skills用于用户希望推荐研究成品形式，或最终形式无法从需求中直接判断时。把需求解析为一个简短的 format 字符串，不创建格式文件或 schema。AlteleFără avertismente★ 5,9 K↓ —
- 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★ 183,6 K↓ —Apare și în 2 alte depozite
- prometheusgrafana/skillsPrometheus and Grafana Cloud Metrics overview including PromQL query language, Metrics Drilldown, alerting, recording rules, and integration patterns. Use when working with Prometheus, writing PromQL queries, configuring alerting, or discussing metrics architecture and best practices.OficialRedactareFără avertismente★ 290↓ —
- sn-da-non-spreadsheet-analysisOpenSenseNova/SenseNova-SkillsWord / PDF / PPT 文档解析与数据分析引擎。覆盖三类文件格式的全量提取、表格数值化、图表理解与跨文档汇总分析。**遇到以下任一情况就主动使用本 skill**：①用户上传或指定了 .docx / .doc / .pdf / .pptx / .ppt 文件并要求分析、提取或统计其中内容；②用户出现触发词：Word分析 / PDF解析 / PPT提取 / 文档分析 / 报告解析 / 幻灯片分析 / 发票提取 / 合同分析 / 文档统计 / 错别字 / 语病 / 字号检查 / 简历分析 / 多文档对比；③任务涉及从文档中提取表格、数值、图表、格式（颜色/高亮/字号）、组织架构、时间线等结构化信息。仅不用于：Excel/CSV 数据分析（使用 sn-da-excel-workflow）、纯图片分析（使用 sn-da-image-caption）。DateFără avertismente★ 5,9 K↓ —
- deslopbrycewang-stanford/Auto-Empirical-Research-SkillsRemove AI writing patterns from prose. Use this skill when writing, drafting, editing, reviewing, or revising any text to eliminate predictable AI tells, slop, and formulaic patterns. Trigger this skill whenever the user asks to "deslop", "de-AI", "make it sound human," "remove AI patterns," "remove AI tropes," "clean up AI writing," fix "slop," "deslop" text, or review prose for authenticity. Also use when the user asks you to write or draft anything and wants it to sound natural rather than AI-generated. Common use cases include scientific writing (manuscripts, abstracts, cover letters, grant narratives, discussion sections, peer review responses), blog posts, newsletters, memos, reports, and any other substantial prose.ȘtiințăFără avertismente★ 4,8 K↓ —
- melonjs-renderer-backendsmelonjs/melonJSUse this skill when a feature works on one machine and not another, when choosing or pinning a renderer, or when writing code that must degrade gracefully. Covers the WebGPU to WebGL 2 to Canvas fallback ladder, what each backend supports, capability detection, and the subsystems that warn once and then stop working on Canvas. Triggers on: video.AUTO, video.WEBGPU, video.WEBGL, video.CANVAS, renderer.type, supportsDepthBuffer, shaderLanguage, WebGPU, WebGL2, Canvas fallback, context loss, backend, works on my machine.MediaFără avertismente★ 6,4 K↓ —
- including-generated-filesdotnet/skillsOwn MSBuild generated-artifact integration. USE FOR: a target that creates or should create source, Content, None, or another physical file but the artifact is missing from compilation or output; target timing; evaluation-time glob misses; $(IntermediateOutputPath) placement; and FileWrites clean tracking. The prompt may describe the generated artifact without naming the producing task. DO NOT USE when the primary defect is general Include/Remove/Update semantics, item metadata or batching, duplicate/overlapping declarations, or a generated-item identity relationship; use item-management. Exclude Roslyn source-generator internals and non-MSBuild systems.ProductivitateFără avertismente★ 5,7 K↓ —
- troubleshoot-binlog-mcpdotnet/skillsDiagnose dotnet-msbuild binlog MCP startup failures. USE FOR: CONNECTION_CLOSED, binlog server won't connect, missing binlog tools, Microsoft.AITools.BinlogMcp not found, dnx launch errors. Checks workspace SDK, feeds, and source mapping without bypassing policy. DO NOT USE FOR: errors inside a binlog (use binlog-failure-analysis), capturing binlogs (use binlog-generation), unrelated MCP servers.AlteleFără avertismente★ 5,7 K↓ —
- optimizing-ef-core-queriesdotnet/skillsReview and optimize application data access that uses Entity Framework Core (EF Core). Use for EF Core performance and correctness reviews of services, repositories, imports, and background jobs: slow or memory-heavy queries, excessive round-trips, hidden SaveChanges, premature materialization, dynamic query construction, result-graph tracking, bulk writes, DbContext lifetime or overlapping operations, search semantics, paging, raw SQL, and model/index coverage. Use whether or not EF Core owns the schema. For EF Core, not Dapper or raw ADO.NET.DateFără avertismente★ 5,7 K↓ —
- melonjs-20-migrationmelonjs/melonJSUse this skill when writing melonJS code that may be based on pre-20.x knowledge, when migrating a game from melonJS 19.x or earlier, or when an API you expected does not exist. Covers the mandatory async Application.init(), the WebGL 2 baseline and WebGPU backend, renderable post effects replacing the shader property, and the deprecated exports still present. Triggers on: migration, upgrade, melonJS 19, me.game, me.video.init, renderable.shader, Compositor, CanvasTexture, me.Math, deprecated.MediaFără avertismente★ 6,4 K↓ —
- melonjs-loading-assetsmelonjs/melonJSUse this skill for loading and managing game assets in melonJS — the resource descriptor format, the full asset type list, preload versus load, retrieving loaded assets, base URLs and cross-origin settings, and the loading screen. Triggers on: loader, loader.preload, loader.load, resources, getImage, getJSON, getTMX, getGLTF, getVideo, getFont, setBaseURL, setOptions, crossOrigin, withCredentials, credentials, cookies, authenticated assets, CORS, asset, preload, LOADER_COMPLETE, loading screen, unload, setParser, custom asset type, generated texture, procedural texture.AlteleFără avertismente★ 6,4 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★ 5,7 K↓ —
- melonjs-getting-startedmelonjs/melonJSUse this skill when starting or bootstrapping a melonJS game, creating the Application, choosing a renderer, or setting up the first scene. Covers the mandatory async init, the world container, adding renderables, and the WebGPU/WebGL 2/Canvas fallback. Triggers on: melonjs, new Application, app.init, app.world, video.AUTO, video.WEBGL, video.CANVAS, Stage, state.change, getting started, bootstrap.MediaFără avertismente★ 6,4 K↓ —
- melonjs-deploymentmelonjs/melonJSUse this skill when packaging, shipping or scaffolding a melonJS game — starting a project with create-melonjs, building for the web, wrapping as a native app with Capacitor or Cordova, publishing to WeChat Mini Games or Facebook Instant Games, browser support and transpiling. Triggers on: create-melonjs, scaffold, new project, build, deploy, publish, Capacitor, Cordova, native app, iOS, Android, WeChat, Instant Games, browser support, transpile, ES2022, bundle size, tree-shaking.DevOpsFără avertismente★ 6,4 K↓ —
- melonjs-performanceActualizatmelonjs/melonJSUse this skill when a melonJS game drops frames, allocates heavily, or needs to scale to many objects. Covers object pooling, draw-call batching, atlases, baking with CanvasRenderTarget, instancing, culling and alwaysUpdate, the debug plugin, and where the real costs are. Triggers on: performance, slow, frame rate, fps, lag, pool, pool.register, pool.pull, batching, draw calls, InstancedMesh, culling, alwaysUpdate, inViewport, CanvasRenderTarget, optimise, profiling, debug plugin, memory, render targets, hdr.MediaFără avertismente★ 6,4 K↓ —
- 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★ 5,7 K↓ —
- melonjs-tilemapsActualizatmelonjs/melonJSUse this skill for Tiled maps in melonJS — loading TMX/TSX levels, spawning entities from Tiled objects, collision shapes authored in Tiled, isometric and hexagonal maps, and image layers. Covers registerTiledObjectClass and the pool.register name contract, camera bounds, compressed maps needing the inflate plugin, and the level director API. Triggers on: Tiled, TMX, TSX, tilemap, level.load, level.load async, await level.load, tileset, ImageLayer, isometric, hexagonal, staggered, pool.register, Collectable, Trigger, object layer, collision layer, parallax, registerTiledObjectClass, registerTiledObjectFactory, TMXObject, resolvedProperty, resolvedProperties, tile class, tile properties.MediaFără avertismente★ 6,4 K↓ —
- melonjs-renderablesActualizatmelonjs/melonJSUse this skill when subclassing Renderable, writing a custom draw() method, handling pointer or click events on game objects, applying post effects and shaders, or controlling draw order. Covers the pos-relative draw contract, isKinematic and input, addPostEffect vs the deprecated shader property, and z-ordering. Triggers on: Tween, easing, animate, Renderable, extends Renderable, draw(, update(, isKinematic, pointerEvent, registerPointerEvent, onClick, addPostEffect, removePostEffect, ShaderEffect, addChild, z-order, anchorPoint, floating.MediaFără avertismente★ 6,4 K↓ —
- melonjs-3d-assetsmelonjs/melonJSUse this skill when loading 3D models into melonJS — glTF and GLB scenes, OBJ/MTL models, materials, imported lights, node animation, ground shadows and GPU instancing. Covers level.load options including the async flag, the rightHanded conversion, and exactly what the loader does and does not support. Triggers on: glTF, gltf, glb, OBJ, MTL, 3D model, getGLTF, getOBJ, getMTL, GLTFModel, GLTFScene, level.load glb, rightHanded, lightIntensityScale, castGroundShadow, shadowGroundY, EXT_mesh_gpu_instancing, KHR_lights_punctual, skinning, Blender export, 3D asset.MediaFără avertismente★ 6,4 K↓ —
- excel-statistical-viz-large-fileOpenSenseNova/SenseNova-Skills对 Excel 数据进行多维度统计分析与可视化。DocumenteFără avertismente★ 5,9 K↓ —
dynamic-large-file-parquet-analysis
OpenSenseNova/SenseNova-Skills
DocumenteActualizat 9 oct. 2026
De la autor
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。
Instalare
npx skills add OpenSenseNova/SenseNova-Skills --skill dynamic-large-file-parquet-analysis -a claude-code
Se instalează în .claude/skills/dynamic-large-file-parquet-analysis/ · 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
Securitate100
Proveniență85
Întreținere100
Licență100
Adopție59
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