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.
45,424 skills from 2,188 repositories · updated 6 minutes ago
44,389 skills
- large-file-parquet-analysis-and-highlightOpenSenseNova/SenseNova-Skills当Excel文件总行数超过1万行时，通过转换为Parquet格式提升读取性能，提取目标指标并计算最大值，最后将结果输出为Excel并对特定行进行高亮标注。DocumentsNo warnings★ 5.9K↓ —
- sn-infographicOpenSenseNova/SenseNova-SkillsGenerates professional infographics with various layout types and visual styles. Analyzes content, recommends layout and style, and generates publication-ready infographics. Use when user asks to create "infographic", "信息图", "visual summary", or "可视化".ProductivityNo warnings★ 5.9K↓ —
- vitestantfu/skillsVitest fast unit testing framework powered by Vite with Jest-compatible API. Use when writing tests, mocking, configuring coverage, or working with test filtering and fixtures.TestingNo warnings★ 6K↓ —
- vitepressantfu/skillsVitePress static site generator powered by Vite and Vue. Use when building documentation sites, configuring themes, or writing Markdown with Vue components.WritingNo warnings★ 6K↓ —
- signal-discoverywiltodelta/remove-ai-watermarksDiscover missing AI provenance and watermark coverage in the remove-ai-watermarks library from fresh or historical corpora, then validate detection and removal parity. Use for corpus gap mining, periodic signal audits, new-provider discovery, or deciding whether old retained data must be replayed. Do not use for ordinary per-file identification or removal.OtherNo warnings★ 6.1K↓ —
- vueantfu/skillsVue 3 Composition API, script setup macros, reactivity system, and built-in components. Use when writing Vue SFCs, defineProps/defineEmits/defineModel, watchers, or using Transition/Teleport/Suspense/KeepAlive.WritingNo warnings★ 6K↓ —
- create-custom-agentdotnet/skillsCreates VS Code custom agent files (.agent.md) for specialized AI personas with tools, instructions, and handoffs. Use when scaffolding new custom agents, configuring agent workflows, or setting up agent-to-agent handoffs.PlanningNo warnings★ 5.7K↓ —
- humanize-koreanepoko77-ai/im-not-aiAI(ChatGPT·Claude·Gemini)가 쓴 한글 텍스트를 사람이 쓴 글처럼 윤문한다. 번역투·영어 인용 과다·기계적 병렬·관용구·피동 남용·접속사 남발·리듬 균일·이모지/불릿 과다 등 10대 카테고리 70개 AI 티 패턴을 탐지·분류해 내용은 한 글자도 건드리지 않고 문체·리듬·표현만 자연스럽게 재작성한다. 트리거 — "AI 티 없애줘", "AI 윤문", "ChatGPT 티 제거", "번역투 고쳐", "사람이 쓴 것처럼", "humanize Korean". 단순 맞춤법 교정·번역·내용 추가는 대상 아님.WritingNo warnings★ 6.2K↓ —
- formatted-export-with-parquetOpenSenseNova/SenseNova-Skills从多Sheet Excel文件中识别指定条件的记录，并将筛选结果以整行标红格式导出为Excel文件，适用于数据清洗、条件筛选与可视化标记场景。DocumentsNo warnings★ 5.9K↓ —
- excel-conditional-filtering-optimizationOpenSenseNova/SenseNova-Skills根据多维数值条件筛选 Excel 数据并导出结果，支持大规模数据的自动性能优化处理。DocumentsNo warnings★ 5.9K↓ —
- single-sheet-reading-and-analysisOpenSenseNova/SenseNova-Skills读取并解析单个Excel工作表数据，支持合并单元格处理、数据清洗、交叉分析及多维度可视化，适用于需要从单表中提取关键指标并进行趋势模拟与图表生成的场景。DocumentsNo warnings★ 5.9K↓ —
- multi-sheet-reading-and-analysisOpenSenseNova/SenseNova-Skills用于读取多工作表Excel文件，动态评估数据量以启用Parquet大文件优化，并执行正则清洗、分类汇总、线性拟合及生成带格式的图表与结果文件。DocumentsNo warnings★ 5.9K↓ —
- 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。DocumentsNo warnings★ 5.9K↓ —
- designlang-tokensManavarya09/design-extractUse when styling UI for sentry.io — references the extracted design system tokens instead of inventing colors, spacing, or typography.DesignNo warnings★ 4.4K↓ —
- designlang-tokensManavarya09/design-extractUse when styling UI for clerk.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.DesignNo warnings★ 4.4K↓ —
- algorithmic-artanthropics/skillsCreating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.OfficialEngineeringNo warnings★ 183.4K↓ —Also in 9 other repos
- skill-creatoranthropics/skillsCreate new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.OfficialTestingNo warnings★ 183.4K↓ —Also in 10 other repos
- mongodb-atlas-stream-processingmongodb/agent-skillsManages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.OfficialEngineeringNo warnings★ 190↓ —Also in 3 other repos
- mongodb-natural-language-queryingmongodb/agent-skillsGenerate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks "how do I query...", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB MCP server.OfficialDataNo warnings★ 190↓ —Also in 3 other repos
- mongodb-query-optimizermongodb/agent-skillsHelp with MongoDB query optimization and indexing. Use only when the user asks for optimization or performance: "How do I optimize this query?", "How do I index this?", "Why is this query slow?", "Can you fix my slow queries?", "What are the slow queries on my cluster?", etc. Do not invoke for general MongoDB query writing unless user asks for performance or index help. Prefer indexing as optimization strategy. Use MongoDB MCP when available.OfficialWritingNo warnings★ 190↓ —Also in 3 other repos
- council0xNyk/council-of-high-intelligenceStructured multi-perspective deliberation for hard decisions. Run full councils, focused triads, or duo debates across Claude Code, Codex, Gemini CLI, and OpenCode.EngineeringNo warnings★ 4.7K↓ —Also in 1 other repo
- frontend-designThinkInAIXYZ/deepchatCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.DesignNo warnings★ 6.4K↓ —Also in 3 other repos
- mongodb-connectionmongodb/agent-skillsOptimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. Use this skill when working/updating/reviewing on functions that instantiate or configure a MongoDB client (eg, when calling `connect()`), configuring connection pools, troubleshooting connection errors (ECONNREFUSED, timeouts, pool exhaustion), optimizing performance issues related to connections. This includes scenarios like building serverless functions with MongoDB, creating API endpoints that use MongoDB, optimizing high-traffic MongoDB applications, creating long-running tasks and concurrency, or debugging connection-related failures.OfficialEngineeringNo warnings★ 190↓ —Also in 3 other repos
- mongodb-schema-designmongodb/agent-skillsMongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on "design schema", "embed vs reference", "MongoDB data model", "schema review", "unbounded arrays", "one-to-many", "tree structure", "16MB limit", "schema validation", "JSON Schema", "time series", "schema migration", "polymorphic", "TTL", "data lifecycle", "archive", "index explosion", "unnecessary indexes", "approximation pattern", "document versioning".OfficialDesignNo warnings★ 190↓ —Also in 3 other repos
grouped-statistics
OpenSenseNova/SenseNova-Skills
DocumentsUpdated Oct 9, 2026
From the author
对多 Sheet 的 Excel 文件进行行数统计、数据合并与前向填充。
Install
npx skills add OpenSenseNova/SenseNova-Skills --skill grouped-statistics -a claude-code
Installs to .claude/skills/grouped-statistics/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
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- SKILL.md