Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
45,604 skills from 2,205 repositories · updated 36 minutes ago
44,573 skills
- paper-compilewanshuiyin/Auto-claude-code-research-in-sleepCompile LaTeX paper to PDF, fix errors, and verify output. Use when user says \"编译论文\", \"compile paper\", \"build PDF\", \"生成PDF\", or wants to compile LaTeX into a submission-ready PDF.ScienceNo warnings★ 18K↓ —
- invalid-data-cleaningOpenSenseNova/SenseNova-Skills用于大规模Excel数据的预处理,通过统计总行数判断是否转换为Parquet格式以提升读写效率,并使用正则表达式清洗指定文本列(如仅保留中文字符),最后导出清洗后的文件并提供下载链接。DocumentsNo warnings★ 5.9K↓ —
- create-blazor-projectdotnet/skillsCreate a new ASP.NET Core web application or web site using Blazor. USE FOR: creating a new Blazor web app, scaffolding a new web project, starting a new web site, choosing render modes (Static SSR, Interactive Server, Interactive WebAssembly, Auto), running dotnet new blazor with the right options, setting up initial project structure. DO NOT USE FOR: adding features to existing projects, changing how an existing app renders, or component authoring (use author-component).MediaNo warnings★ 5.7K↓ —
- excel-data-analysis-and-report-generationOpenSenseNova/SenseNova-Skills从Excel提取多类型数据,并生成包含可视化图表与下载链接的综合分析报告。DataNo warnings★ 5.9K↓ —
- time-series-and-categorical-analysisOpenSenseNova/SenseNova-Skills对时间序列或分类数据进行多维度趋势分析、百分比清洗、绩效分级建模与预测,并生成高分辨率的可视化综合报告,适用于业务指标监控与预测场景。OtherNo warnings★ 5.9K↓ —
- range-reading-and-large-file-analysisOpenSenseNova/SenseNova-Skills读取多 Sheet Excel 文件,根据数据量动态选择处理策略,支持特定区域数据提取、大文件 Parquet 转换、统计分析及可视化图表生成。DocumentsNo warnings★ 5.9K↓ —
- multi-file-excel-parquet-analysisOpenSenseNova/SenseNova-Skills读取多 Sheet Excel 文件并统计规模,支持大文件向 Parquet 格式转换、分类数据统计及可视化报告生成。DocumentsNo warnings★ 5.9K↓ —
- pivot-table-cross-analysisOpenSenseNova/SenseNova-Skills利用交叉表与热力图对分类数据进行多维度占比分析,适用于奖项分布、绩效评估或市场占有率等结构化数据的清洗与可视化。OtherNo warnings★ 5.9K↓ —
- paper-compilewanshuiyin/Auto-claude-code-research-in-sleepCompile LaTeX paper to PDF, fix errors, and verify output. Use when user says "编译论文", "compile paper", "build PDF", "生成PDF", or wants to compile LaTeX into a submission-ready PDF.ScienceNo warnings★ 18K↓ —
- word-analysisOpenSenseNova/SenseNova-SkillsWord (.docx/.doc) 文档全量解析。覆盖:正文/段落文本提取、表格数据提取、高亮/颜色格式读取、多文件汇总对比、嵌入图片转 caption。DocumentsNo warnings★ 5.9K↓ —
- clr-activation-debuggingdotnet/skillsDiagnoses .NET Framework CLR activation issues using CLR activation logs (CLRLoad logs) produced by mscoree.dll. Use when: the shim picks the wrong runtime, fails to load any runtime, shows unexpected .NET 3.5 Feature-on-Demand (FOD) dialogs, unexpectedly does NOT show FOD dialogs, loads both v2 and v4 into the same process causing failures, or any time someone is wondering "what is happening with .NET Framework activation?"EngineeringNo warnings★ 5.7K↓ —
- numeric-extraction-and-distribution-analysisOpenSenseNova/SenseNova-Skills从带单位的字符串列中提取数值并清洗,生成包含直方图、饼图、条形图和累积分布图的多维度综合分布可视化图表,用于展示数据的集中趋势与分布特征。OtherNo warnings★ 5.9K↓ —
- outlier-detection-and-quality-assessmentOpenSenseNova/SenseNova-Skills执行全面的异常值检测与数据质量评估,利用 IQR 方法识别异常值并结合偏度、峰度分析数据分布特征,适用于非正态分布数据的预处理阶段。OtherNo warnings★ 5.9K↓ —
- 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)。DocumentsNo warnings★ 5.9K↓ —
- sentencepieceOrchestra-Research/AI-Research-SKILLsLanguage-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.ProductivityNo warnings★ 13.9K↓ —
- melonjs-lightingUpdatedmelonjs/melonJSUse this skill for 2D dynamic lighting in melonJS — Light2d, ambient light on a Stage, multiple lights, and per-pixel normal-mapped sprites authored in SpriteIlluminator. Covers specular highlights via shininess, the ambient-cutout model, which parts need a GPU backend, and why Light2d does not survive a Camera3d. Triggers on: Light2d, specular, shininess, highlight, glint, lighting, ambientLight, ambientLightingColor, normalMap, SpriteIlluminator, per-pixel lighting, drawLight, torch, glow, darkness.PlanningNo warnings★ 6.4K↓ —
- 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。OtherNo warnings★ 5.9K↓ —
- 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)。DataNo warnings★ 5.9K↓ —
- sn-md-to-html-reportOpenSenseNova/SenseNova-Skills将 Markdown 报告、研究笔记、行业分析、战略备忘录、技术白皮书、复盘、周报等长文档,重组并创作为有编辑判断、网页美感和证据秩序的自包含 HTML 专题页。用户要求“转成 HTML”“网页化报告”“美化报告”“做成专题页”“便于分享”“提升可读性/设计感”“把报告做成网页”时使用。必须先写 plan.md 再写 HTML,保留原文事实断言和结论强度,不套模板,不做机械 Markdown 转换。PlanningNo warnings★ 5.9K↓ —
- melonjs-particles-and-trailsUpdatedmelonjs/melonJSUse this skill for particle effects and motion trails in melonJS — ParticleEmitter configuration, burst versus stream emission, the referenceSpace frame of reference introduced in 20.2, 3D particle motion through elevation and minSpread/maxSpread in 20.8, and the Trail renderable. Covers the emitter that silently does nothing until you call an emit method. Triggers on: Trail3d, ribbon, exhaust trail, speed streak, ski track, tyre mark, ribbonNormal, ParticleEmitter, particles, burstParticles, streamParticles, referenceSpace, ParticleEmitterSettings, elevation, minSpread, maxSpread, spawn area, Trail, explosion, smoke, sparks, debris, ring, exhaust, emitter, tintOverLife, colour over life, color over life, flame, fire.MediaNo warnings★ 6.4K↓ —
- excel-multi-sheet-threshold-analysisOpenSenseNova/SenseNova-Skills统计多Sheet Excel总行数并根据规模选择处理策略,提取特定维度信息进行去重统计,并生成摘要与明细报表。DocumentsNo warnings★ 5.9K↓ —
- sn-da-excel-workflowOpenSenseNova/SenseNova-SkillsExcel 数据分析多步编排器。覆盖:(1) 读取多 Sheet Excel 文件并统计行数,(2) 大文件检测(≥10k 行自动 Parquet 优化),(3) 数据清洗(缺失值、文本标准化、无效字符),(4) 条件筛选与分类提取,(5) 跨 Sheet 统计聚合,(6) 导出 Excel/CSV 并提供下载链接。覆盖从数据读取到报告生成全流程,按步骤编排 capability 子 skill。**遇到以下任一情况就主动使用本 skill,不要自行写几行 pandas 就回答**:①用户出现触发词:Excel 分析 / 表格分析 / 数据分析 / 数据清洗 / 数据统计 / 数据筛选 / 数据可视化 / 数据导出 / 汇总统计 / 透视表 / 分组统计 / 交叉分析 / 趋势分析 / 对比分析 / 异常值检测 / 去重 / 缺失值处理 / Excel 报告 / 生成报表 / analyze Excel / data analysis / data cleaning / pivot table;②用户上传或指定了 .xlsx / .xls / .csv 文件并要求分析、清洗、统计或可视化;③任务涉及多 Sheet 读取、条件筛选、分类汇总、图表生成中的任意一项;④用户要求导出带格式的 Excel 报告或下载链接。仅不用于:不涉及表格数据的纯文本处理、图片分析(使用 sn-da-image-caption)、单个公式计算的简单问答。DocumentsNo warnings★ 5.9K↓ —
- pdf-analysisOpenSenseNova/SenseNova-SkillsPDF 文档解析。自动区分文字型 PDF 与扫描型 PDF,覆盖:文本/表格提取、多页全量扫描、嵌入图表 caption、单位感知数值计算。DocumentsNo warnings★ 5.9K↓ —
- lambda-labs-gpu-cloudOrchestra-Research/AI-Research-SKILLsReserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.OtherNo warnings★ 13.9K↓ —
melonjs-scenes-and-state
melonjs/melonJS
From the author
Use this skill for scene structure and game flow in melonJS — Stage subclasses, the state manager, transitions, pausing, the update loop, timers and tweens. Covers onResetEvent versus the constructor, state.set before state.change, the camera and world lifecycle per stage, and pause-aware timing. Triggers on: Tween, easing, fade out, flash, pulse, punch, shrink back, ease in, ease out, animate over time, countdown in update, Stage, state, state.set, state.change, state.transition, state.pause, onResetEvent, onDestroyEvent, onActivateEvent, onDeactivateEvent, PLAY, MENU, LOADING, update loop, GAME_UPDATE, timer, setTimeout, setInterval, Tween, freeze.
Install
npx skills add melonjs/melonJS --skill melonjs-scenes-and-state -a claude-code
Installs to .claude/skills/melonjs-scenes-and-state/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
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