Ferdigheter for agenter
Ferdigheter for Claude Code, Codex, Cursor og andre agenter fra katalogen skills.sh: installasjoner, status for sikkerhetsrevisjon og kommandoen for å legge til en ferdighet.
En skill er ikke bundet til én agent: npx skills add installerer den i hvilken som helst støttet agent. Uten -a finner CLI-en agentene på datamaskinen og spør hvor den skal legges til.
Oppdatert · Kilder: skills.sh
Vises: 100 · funnet: 116 · av 10 000 i katalogen
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azure-kusto microsoft/azure-skills
Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters, log analytics, time series data, IoT telemetry, anomaly detection.
539 297 Advarsler -
motion-graphics heygen-com/hyperframes
A short, design-led motion graphic where motion is the message — kinetic typography, stat count-up, chart/data-viz hit, logo sting / brand lockup, lower-third / callout / social overlay, animated map (highlight regions, connect places, zoom to a location), animated tweet / news-article / headline, webpage / UI animation (scroll, cursor, callouts), or fusing a real image's geometry into a chart. Usually under 10s (up to ~30s), no narration or live-action subject; renders to MP4 or transparent overlay. Longer / narrated / multi-scene → /general-video. Unclear → /hyperframes.
355 210 Advarsler -
lark-apps larksuite/cli
妙搭（Spark/Miaoda）应用开发与托管：应用创建、本地全栈开发、云端生成迭代、创意设计（UI mockup / 可交互原型 / 线框图 / 落地页 / 仪表盘 / 幻灯片 deck / 视觉探索）、AI相关能力和飞书平台能力或者其他外部能力集成、日志/Trace/监控指标/PV/UV 查询、环境变量管理、应用协作者与协作权限设置、应用角色与成员管理、自动化触发器（定时/记录变更/Webhook/飞书审批）。当用户要开发/新建一个系统·工具·平台·应用，或要本地开发 / 云端开发 / 修改 / 部署 / 发布 / 上线 / 拿可分享链接，或用 HTML 做页面·网站·部署到妙搭，或要设计 / design / mockup / prototype / wireframe / 做 PPT / deck / 视觉探索，或提到妙搭/Spark/Miaoda（应用运行时域名形如 *.aiforce.cloud）、应用数据库、应用文件存储、开放 API Key、可见范围、应用协作者/开发权限、应用角色/角色成员、线上日志、接口请求量、错误量、延迟、访问量、环境变量、给妙搭应用配自动化任务/定时触发/审批通过后自动触发时使用。不负责普通云盘文件上传（lark-drive）、飞书文档编辑（lark-doc）、原生幻灯片创建（lark-slides）。
300 846 Advarsler -
firecrawl-dashboard-reporting firecrawl/firecrawl-workflows
Pull metrics from analytics dashboards and internal web tools with Firecrawl browser. Use when the user needs dashboard reporting, cross-platform metric summaries, authenticated analytics extraction, date-range reports, or structured metrics from web dashboards.
31 310 Advarsler -
slides nextlevelbuilder/ui-ux-pro-max-skill
Create strategic HTML presentations with Chart.js, design tokens, responsive layouts, copywriting formulas, and contextual slide strategies.
31 247 Advarsler -
add-analytics-instrumentation amplitude/mcp-marketplace
End-to-end analytics instrumentation workflow for a PR, branch, file, directory, or feature. Reads the code, discovers what events should be tracked, and produces a concrete instrumentation plan — all in one shot. Use this skill whenever a user wants to add analytics to a PR, asks "instrument this PR", "add tracking to this branch", "what analytics does this file need", "instrument the checkout flow", "run the full instrumentation workflow", or any request that implies going from code changes to a tracking plan. Also trigger when the user gives you a PR link, branch name, file path, or feature description and mentions analytics, events, or instrumentation. This is the main entry point for the analytics workflow — prefer it over calling the individual steps (diff-intake, discover-event-surfaces, instrument-events) separately.
27 008 Advarsler -
diff-intake amplitude/mcp-marketplace
Reads a PR or branch diff and produces a structured YAML change brief for downstream analytics instrumentation skills. Use this as the first step whenever a user shares a PR link, branch comparison, or raw diff and wants to understand what changed, what needs tracking, or how to instrument a feature. Trigger on phrases like "review this PR", "what changed in this branch", "help me instrument this diff", "check analytics coverage for this change", or any request to start the analytics review workflow.
26 993 Advarsler -
data-quality-frameworks wshobson/agents
Implement data quality validation with Great Expectations, dbt tests, and data contracts. Use when building data quality pipelines, implementing validation rules, or establishing data contracts.
10 673 Advarsler -
dbt-transformation-patterns wshobson/agents
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
10 446 Advarsler -
service-mesh-observability wshobson/agents
Implement comprehensive observability for service meshes including distributed tracing, metrics, and visualization. Use when setting up mesh monitoring, debugging latency issues, or implementing SLOs for service communication.
9 829 Advarsler -
power-bi-report-design-consultation github/awesome-copilot
Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.
9 331 Advarsler -
x-api affaan-m/ecc
X/Twitter API integration for posting tweets, threads, reading timelines, search, and analytics. Covers OAuth auth patterns, rate limits, and platform-native content posting. Use when the user wants to interact with X programmatically.
8 553 Advarsler -
drawio bahayonghang/drawio-skills
Create, edit, replicate, import, and export draw.io diagrams with an offline YAML-first workflow: architecture, network topologies, flowcharts, UML/ER, org charts, Mermaid/CSV conversion, existing .drawio bundles, style presets, themes, and non-publication formula diagrams. For publication figures (paper, thesis, IEEE, camera-ready) use drawio-academic-skills instead.
8 158 Advarsler -
coingecko starchild-ai-agent/official-skills
Crypto spot prices, OHLC charts, market discovery, and global stats. Use when looking up coin prices, market caps, trending coins, sector rankings, or comparing tokens (e.g. BTC price, ETH chart, top gainers).
7 882 Advarsler -
data-analysis claude-office-skills/skills
Analyze spreadsheet data, generate insights, create visualizations, and build reports from Excel/CSV data.
7 258 Advarsler -
ctf-ai-ml ljagiello/ctf-skills
Provides AI and machine learning techniques for CTF challenges. Use when attacking ML models, crafting adversarial examples, performing model extraction, prompt injection, membership inference, training data poisoning, fine-tuning manipulation, neural network analysis, LoRA adapter exploitation, LLM jailbreaking, or solving AI-related puzzles.
7 010 Advarsler -
runpod-templates runpod/runpod-plugins-official
Runpod's official prebuilt pod templates (ComfyUI, PyTorch, and others): what each image ships, which ports and paths it uses, how to pick one, how to pin a version, and what is missing on first boot. Use when a task says "run <X> on a pod" and an official template already covers it, instead of building an image — and when a user needs help with or wants to fix something about a Runpod template they are already running (won't boot, can't reach the UI, missing models, wrong CUDA line, broken ComfyUI workflow metadata on imported workflows): start here and route onward. Deploy with runpodctl or runpod-mcp; end-to-end walkthroughs live in the runpod router's golden paths.
6 820 Advarsler -
lck-analytics nomadamas/k-skill
Riot 공식 LoL Esports 데이터와 Oracle's Elixir 스타일 historical 데이터로 LCK 경기 결과, 현재 순위, live turning point, 밴픽 matchup/synergy, patch meta, 팀 파워 레이팅을 조회한다.
5 861 Advarsler -
okx-cex-smartmoney okx/agent-skills
Smart Money analytics on OKX: leaderboard traders, position tracking, trade records, closed-position history, aggregated consensus signals, and signal history. Use this skill when the user asks about 聪明钱, smart money, 牛人榜, leaderboard, top traders, 交易员排行, trader ranking, trader positions, trader PnL, 交易员持仓, 交易员收益, 历史平仓, closed positions, realized PnL track record, trade history, 成交记录, smart money signal, 聪明钱信号, long/short ratio, 多空比, capital flow, 资金流向, position conviction, 仓位强度, entry price distribution, smart money overview, 聪明钱总览, signal history, 信号历史, trader search, 搜索交易员, who is trading BTC, 谁在交易BTC, recommend traders, 推荐交易员, best traders, top performers.
5 507 Advarsler -
us-stock-analysis tradermonty/claude-trading-skills
Comprehensive US stock analysis including fundamental analysis (financial metrics, business quality, valuation), technical analysis (indicators, chart patterns, support/resistance), stock comparisons, and investment report generation. Use when user requests analysis of US stock tickers (e.g., "analyze AAPL", "compare TSLA vs NVDA", "give me a report on Microsoft"), evaluation of financial metrics, technical chart analysis, or investment recommendations for American stocks.
5 298 Advarsler -
jupyter-notebook openai/skills
Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.
5 205 Advarsler -
ad-attribution-gap mbfinotti/advertising-skills
Quantify and explain the discrepancy between ad platform reporting, an analytics tool, and the source of truth (CRM or order system), classifying every unit of the gap as timing, definitional, or unexplained residual. Use whenever the user says the numbers don't match, that the platform reports more conversions or revenue than the CRM or order system, or mentions cross-platform reconciliation, double-counted conversions, an attribution discrepancy, or asks whether a reporting gap is normal - even if they never say 'attribution'. Covers B2B (CRM-anchored) and B2C/ecommerce (order-system-anchored). Do NOT use to fix broken or missing tracking - use mbfinotti/advertising-skills@ad-conversion-tracking instead.
4 843 Advarsler -
omnistudio-dependencies-analyze forcedotcom/sf-skills
Cross-cutting OmniStudio analysis skill for namespace detection, dependency visualization, and impact analysis across OmniScripts, FlexCards, Integration Procedures, and Data Mappers. TRIGGER when: user asks about OmniStudio dependencies, wants namespace detection (Core vs vlocity_cmt vs vlocity_ins), needs impact analysis, requests dependency graphs or Mermaid diagrams, or asks which components are affected by a change. DO NOT TRIGGER when: authoring OmniScripts (use omnistudio-omniscript-generate), building FlexCards (use omnistudio-flexcard-generate), creating Integration Procedures (use omnistudio-integration-procedure-generate), or configuring Data Mappers (use omnistudio-datamapper-generate).
4 685 Advarsler -
youtube automation claude-office-skills/skills
Automate YouTube content workflows including video management, analytics, scheduling, and channel optimization
4 634 Advarsler -
excalidraw agents365-ai/365-skills
Use when user requests diagrams, flowcharts, architecture charts, or visualizations. Also use proactively when explaining systems with 3+ components, complex data flows, or relationships that benefit from visual representation. Generates .excalidraw files and exports to PNG/SVG via Kroki API or locally using excalidraw-brute-export-cli.
4 469 Advarsler -
shopify-automation claude-office-skills/skills
Shopify e-commerce automation - inventory management, order processing, customer workflows, and analytics
4 285 Advarsler -
etl pipeline claude-office-skills/skills
Design and automate Extract, Transform, Load data pipelines for data integration and analytics
4 267 Advarsler -
superwall superwall/skills
Use the `superwall` CLI to manage apps, products, entitlements, campaigns, paywalls, App Store Connect, Apple Search Ads, and ClickHouse analytics. Also covers documentation lookup, dashboard links, SDK source inspection, and integration, migration, review, and dashboard workflows. Use for Superwall API or CLI tasks, data analysis, SDK setup, provider migration, webhook events, and SDK debugging.
4 141 Advarsler -
zendesk automation claude-office-skills/skills
Automate customer support workflows with Zendesk ticket management, routing, and analytics
4 047 Advarsler -
chart starchild-ai-agent/official-skills
Interactive web charts: line, bar, candle, scatter, with HTML and screenshot output. Use when visualizing data for analysis or BI (e.g. plot BTC vs gold last year, bar chart of revenue by quarter, compare two return series).
3 921 Advarsler -
plantuml-skill agents365-ai/365-skills
Use when user requests diagrams, flowcharts, sequence diagrams, class diagrams, component diagrams, ER diagrams, architecture charts, or visualizations — including generating a diagram from existing source code, or rendering/extracting PlantUML embedded in a Markdown file to images (e.g. preparing docs for Confluence/Notion). Also use proactively when explaining systems with 3+ components, APIs, data flows, or class hierarchies. Generates .puml files and exports to PNG/SVG via Kroki API (no local install required).
3 918 Advarsler -
Create visuals in Markdown documents: charts, diagrams, cards, architecture and page layouts. Charts and analytical views (bar, line, pie, heatmap, correlation, regression); reliability and operations (latency, incident, throughput, cycle time, OKR, standup, on-call); product and finance (funnel, retention, revenue, budget); process and workflow (approval, BPMN); software design and behaviour (class, state machine, sequence, C4); dependencies and impact (dependency graph, ER, causality); system architecture as an HTML page (layer stack, wings, zones, topology, service catalogue, request paths); infrastructure (cloud, Kubernetes, ETL, network, security, IAM, compliance); governance and people (ArchiMate, org chart, hiring); knowledge and planning (mind map, roadmap, Gantt, migration); documents (comparison, SWOT, memo, policy, catalogue, case study). Use when a document needs a diagram, chart or card. Not for slide decks or math notation. Not recommended: mermaid / canvas / drawio / dot.
3 866 Advarsler -
architecture markdown-viewer/skills
Create visuals in Markdown documents: charts, diagrams, cards, architecture and page layouts. Charts and analytical views (bar, line, pie, heatmap, correlation, regression); reliability and operations (latency, incident, throughput, cycle time, OKR, standup, on-call); product and finance (funnel, retention, revenue, budget); process and workflow (approval, BPMN); software design and behaviour (class, state machine, sequence, C4); dependencies and impact (dependency graph, ER, causality); system architecture as an HTML page (layer stack, wings, zones, topology, service catalogue, request paths); infrastructure (cloud, Kubernetes, ETL, network, security, IAM, compliance); governance and people (ArchiMate, org chart, hiring); knowledge and planning (mind map, roadmap, Gantt, migration); documents (comparison, SWOT, memo, policy, catalogue, case study). Use when a document needs a diagram, chart or card. Not for slide decks or math notation. Not recommended: mermaid / canvas / drawio / dot.
3 727 Advarsler -
github-traffic zc277584121/marketing-skills
Fetch, store, and visualize GitHub repository traffic data (views, clones, referrers, stars) with trend charts. Requires repo push access.
3 650 Advarsler -
technical-analyst tradermonty/claude-trading-skills
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs. Use this skill when the user provides chart images and requests technical analysis, trend identification, support/resistance levels, scenario planning, or probability assessments based purely on chart data without consideration of news or fundamental factors.
3 579 Advarsler -
find-your-level rohitg00/ai-engineering-from-scratch
Interactive quiz that maps your AI/ML knowledge to a starting point in the 523-lesson, 20-phase AI Engineering from Scratch curriculum. Trigger phrases: "where should I start", "find my level", "what do I know", "which phase", "assess my knowledge", "placement test", "skip ahead"
3 571 Advarsler -
data-analysis bytedance/deer-flow
Use this skill when the user uploads Excel (.xlsx/.xls) or CSV files and wants to perform data analysis, generate statistics, create summaries, pivot tables, SQL queries, or any form of structured data exploration. Supports multi-sheet Excel workbooks, aggregation, filtering, joins, and exporting results to CSV/JSON/Markdown.
3 544 Advarsler -
infographic markdown-viewer/skills
Create visuals in Markdown documents: charts, diagrams, cards, architecture and page layouts. Charts and analytical views (bar, line, pie, heatmap, correlation, regression); reliability and operations (latency, incident, throughput, cycle time, OKR, standup, on-call); product and finance (funnel, retention, revenue, budget); process and workflow (approval, BPMN); software design and behaviour (class, state machine, sequence, C4); dependencies and impact (dependency graph, ER, causality); system architecture as an HTML page (layer stack, wings, zones, topology, service catalogue, request paths); infrastructure (cloud, Kubernetes, ETL, network, security, IAM, compliance); governance and people (ArchiMate, org chart, hiring); knowledge and planning (mind map, roadmap, Gantt, migration); documents (comparison, SWOT, memo, policy, catalogue, case study). Use when a document needs a diagram, chart or card. Not for slide decks or math notation. Not recommended: mermaid / canvas / drawio / dot.
3 522 Advarsler -
graphviz markdown-viewer/skills
Create visuals in Markdown documents: charts, diagrams, cards, architecture and page layouts. Charts and analytical views (bar, line, pie, heatmap, correlation, regression); reliability and operations (latency, incident, throughput, cycle time, OKR, standup, on-call); product and finance (funnel, retention, revenue, budget); process and workflow (approval, BPMN); software design and behaviour (class, state machine, sequence, C4); dependencies and impact (dependency graph, ER, causality); system architecture as an HTML page (layer stack, wings, zones, topology, service catalogue, request paths); infrastructure (cloud, Kubernetes, ETL, network, security, IAM, compliance); governance and people (ArchiMate, org chart, hiring); knowledge and planning (mind map, roadmap, Gantt, migration); documents (comparison, SWOT, memo, policy, catalogue, case study). Use when a document needs a diagram, chart or card. Not for slide decks or math notation. Not recommended: mermaid / canvas / drawio / dot.
3 399 Advarsler -
add-uint-support pytorch/pytorch
Add unsigned integer (uint) type support to PyTorch operators by updating AT_DISPATCH macros. Use when adding support for uint16, uint32, uint64 types to operators, kernels, or when user mentions enabling unsigned types, barebones unsigned types, or uint support.
3 359 Advarsler -
canvas markdown-viewer/skills
Create visuals in Markdown documents: charts, diagrams, cards, architecture and page layouts. Charts and analytical views (bar, line, pie, heatmap, correlation, regression); reliability and operations (latency, incident, throughput, cycle time, OKR, standup, on-call); product and finance (funnel, retention, revenue, budget); process and workflow (approval, BPMN); software design and behaviour (class, state machine, sequence, C4); dependencies and impact (dependency graph, ER, causality); system architecture as an HTML page (layer stack, wings, zones, topology, service catalogue, request paths); infrastructure (cloud, Kubernetes, ETL, network, security, IAM, compliance); governance and people (ArchiMate, org chart, hiring); knowledge and planning (mind map, roadmap, Gantt, migration); documents (comparison, SWOT, memo, policy, catalogue, case study). Use when a document needs a diagram, chart or card. Not for slide decks or math notation. Not recommended: mermaid / canvas / drawio / dot.
3 323 Advarsler -
docstring pytorch/pytorch
Write docstrings for PyTorch functions and methods following PyTorch conventions. Use when writing or updating docstrings in PyTorch code.
3 250 Advarsler -
pr-review pytorch/pytorch
Review PyTorch pull requests for code quality, test coverage, security, and backward compatibility. Use when reviewing PRs, when asked to review code changes, or when the user mentions "review PR", "code review", or "check this PR".
3 237 Advarsler -
metal-kernel pytorch/pytorch
Write Metal/MPS kernels for PyTorch operators. Use when adding MPS device support to operators, implementing Metal shaders, or porting CUDA kernels to Apple Silicon. Covers native_functions.yaml dispatch, host-side operators, and Metal kernel implementation.
3 173 Advarsler -
at-dispatch-v2 pytorch/pytorch
Convert PyTorch AT_DISPATCH macros to AT_DISPATCH_V2 format in ATen C++ code. Use when porting AT_DISPATCH_ALL_TYPES_AND*, AT_DISPATCH_FLOATING_TYPES*, or other dispatch macros to the new v2 API. For ATen kernel files, CUDA kernels, and native operator implementations.
3 170 Advarsler -
longbridge-market-data longbridge/skills
Real-time quotes, K-line charts, order book, trade ticks, intraday capital flow, market sentiment temperature, trading session schedule, security lists, exchange rates, and IPO calendar for HK/US/A-share/SG via Longbridge. Also covers ADR premium and FX carry frameworks. Triggers: "股价", "行情", "K线", "走势", "盘口", "资金流", "市场温度", "汇率", "IPO", "打新", "隔夜股", "ADR溢价", "外汇套息", "K線", "盤口", "資金流", "市場溫度", "匯率", "ADR溢價", "外匯套息", "现在多少钱", "多少钱", "stock price", "quote", "kline", "chart", "depth", "orderbook", "capital flow", "market sentiment", "exchange rate", "IPO calendar", "security list", "ADR premium", "fx carry", "market open", "trading hours", "开市", "溢价", "NVDA.US", "700.HK", "600519.SH", "股價", "走勢", "開盤", "今天開市"
3 092 Advarsler -
cloud markdown-viewer/skills
Create visuals in Markdown documents: charts, diagrams, cards, architecture and page layouts. Charts and analytical views (bar, line, pie, heatmap, correlation, regression); reliability and operations (latency, incident, throughput, cycle time, OKR, standup, on-call); product and finance (funnel, retention, revenue, budget); process and workflow (approval, BPMN); software design and behaviour (class, state machine, sequence, C4); dependencies and impact (dependency graph, ER, causality); system architecture as an HTML page (layer stack, wings, zones, topology, service catalogue, request paths); infrastructure (cloud, Kubernetes, ETL, network, security, IAM, compliance); governance and people (ArchiMate, org chart, hiring); knowledge and planning (mind map, roadmap, Gantt, migration); documents (comparison, SWOT, memo, policy, catalogue, case study). Use when a document needs a diagram, chart or card. Not for slide decks or math notation. Not recommended: mermaid / canvas / drawio / dot.
3 060 Advarsler -
accelerated-computing-cudf nvidia/skills
Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.
2 950 Advarsler -
data-context-extractor anthropics/knowledge-work-plugins
Generate or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE - Triggers: "Create a data context skill", "Set up data analysis for our warehouse", "Help me create a skill for our database", "Generate a data skill for [company]" → Discovers schemas, asks key questions, generates initial skill with reference files ITERATION MODE - Triggers: "Add context about [domain]", "The skill needs more info about [topic]", "Update the data skill with [metrics/tables/terminology]", "Improve the [domain] reference" → Loads existing skill, asks targeted questions, appends/updates reference files Use when data analysts want Claude to understand their company's specific data warehouse, terminology, metrics definitions, and common query patterns.
2 946 Advarsler -
d3-visualization nexu-io/open-design
Teaches the agent to produce D3 charts and interactive data visualizations. A comprehensive D3.js skill with examples across chart types and techniques giving the agent expert-level knowledge to generate complex, interactive visualizations. Useful for editorial dashboards, reports, data-rich prototypes, and explanatory graphics.
2 912 Advarsler -
shopify-shopifyql shopify/shopify-ai-toolkit
Answer a merchant's **analytics and reporting** questions with **ShopifyQL** — Shopify's query language for aggregated store metrics that the Admin GraphQL API cannot compute. Choose this (not `admin`) whenever the ask is for **numbers, totals, trends, or breakdowns** rather than fetching or mutating individual records: including but not limited to total/gross/net sales and revenue, order counts, average order value, refunds, quantity sold, sessions, conversion rate, and traffic — sliced by product, channel, region, or customer, trended over time, or compared period-over-period. Examples: "total sales last 7 days", "orders by sales channel this month", "top products by revenue", "conversion rate this week", "sales this year vs last year". This topic covers writing the ShopifyQL query; if the merchant wants to run it against their store, execution is handed off to `use-shopify-cli`. Not for general Admin GraphQL record operations — fetching or mutating individual resources (use `admin`).
2 857 Advarsler -
xyq-nest-skill pippit-dev/pippit-skills
Self-contained end-to-end Pippit.ai skill for AI creative generation/editing, generated asset downloads, overseas social video publishing, scheduling, task management, and analytics. Use when the user wants an end-to-end Pippit flow from prompt or reference image/video assets to generated video, local download, TikTok/Facebook Page/Instagram scheduling, publish task CRUD, or performance analysis; also use for Pippit access-key setup for either creation or publishing.
2 823 Advarsler -
aws-ai-ml aws/agent-toolkit-for-aws
Selects, deploys, and customizes AI models on Amazon SageMaker. Fine-tuning (SFT, DPO, RLVR, RLAIF), model selection, dataset preparation, evaluation, deployment to SageMaker endpoints or Bedrock, inference optimization and endpoint diagnostics. Covers the full lifecycle from planning through production. Use when fine-tuning models on SageMaker, choosing/selecting which base model to customize or fine-tune from SageMaker Hub, finding a model to deploy without fine-tuning, transforming datasets for training, checking data readiness, evaluating model quality, deploying to endpoints, benchmarking or optimizing inference, setting up IAM roles and S3 buckets for training jobs, or managing a SageMaker Managed MLflow app. Also use to check endpoint health, diagnose failures, debug latency or errors, or view container logs and CloudWatch metrics. Covers Serverless Model Customization, Nova and OSS deployment paths, and PySDK v3. NOT for Ground Truth labeling, Feature Store, or general-purpose AWS infrastructure.
2 766 Advarsler -
excel analysis davila7/claude-code-templates
Analyze Excel spreadsheets, create pivot tables, generate charts, and perform data analysis. Use when analyzing Excel files, spreadsheets, tabular data, or .xlsx files.
2 603 Advarsler -
technology-selection dotnet/skills
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from classic ML through modern LLM orchestration to local inference. Use when adding classification, regression, clustering, anomaly detection, recommendation, LLM integration (text generation, summarization, reasoning), RAG pipelines with vector search, agentic workflows with tool calling, Copilot extensions, or custom model inference via ONNX Runtime to a .NET project. DO NOT USE FOR projects targeting .NET Framework (requires .NET 8+), the task is pure data engineering or ETL with no ML/AI component, or the project needs a custom deep learning training loop (use Python with PyTorch/TensorFlow, then export to ONNX for .NET inference).
2 536 Advarsler -
xlsx tfriedel/claude-office-skills
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
2 519 Advarsler -
blog-factcheck agricidaniel/claude-blog
Verify statistics and claims in blog posts by fetching cited source URLs and checking if the claimed data actually appears on the page. Extracts all load-bearing claims (statistics, product or policy claims, ranking and comparative claims, named sources), validates cited URLs before fetching, and scores match confidence (exact match 1.0, paraphrase 0.7-0.9, not found 0.0). Flags uncited claims as UNVERIFIED. Use when user says "fact check", "verify statistics", "check sources", "validate claims", "factcheck", "source verification".
2 450 Advarsler -
blog-brief agricidaniel/claude-blog
Generate detailed content briefs for blog posts with target keywords, content outlines, competitive analysis, recommended statistics, image and chart suggestions, word count targets, internal linking architecture, template recommendations (12 types), TL;DR drafts, evidence-backed section planning, information gain prompts, and multi-channel distribution plans. Briefs are optimized for Google rankings and AI citation visibility as part of SEO. Use when user says "content brief", "blog brief", "write brief", "SEO brief", "article brief", or "content requirements".
2 425 Advarsler -
devrel-analytics samber/developer-relations-skills
Builds the tracking plan that instruments developer-relations surfaces - docs, blog, repositories, package registries, community venues, and off-web appearances - with an event taxonomy, an identity spine, link-tagging discipline, source-confidence labelling, and funnel views. Use when the user says "devrel tracking plan", "docs analytics", "utm discipline", "event taxonomy for our docs", "our GitHub numbers don't match analytics", "how do we instrument the developer funnel", "join docs traffic to signups", or wants to know why devrel numbers disagree between tools. Instrumentation layer only - which KPIs deserve a target belongs to samber/developer-relations-skills@devrel-metrics.
2 422 Advarsler -
blog-outline agricidaniel/claude-blog
SERP-informed outline generation with H2/H3 heading hierarchy, competitive content gap analysis, section-by-section word count targets, chart and image placement markers, optional FAQ question planning, and internal linking zones. Skeleton only: structure, H2/H3 hierarchy, word counts, optional FAQ slots. Use blog-brief instead if you need full competitive analysis, statistics research, and image suggestions. Lighter than a full content brief, generates article skeleton and structure only, ready for /blog write to consume. Use when user says "outline", "blog outline", "content outline", "structure blog", "plan sections", "article skeleton", "heading structure", "SERP analysis", "competitive outline", "plan article".
2 387 Advarsler -
connector-quickbooks caffeinelabs/skills
Use the `quickbooks-client` mops package whenever the user asks the canister to create/read/update invoices, customers, payments, items, or chart-of-account entries in QuickBooks Online (QBO), email an invoice, or run a QuickBooks query. The package wraps the QuickBooks Online Accounting API v3 at `https://quickbooks.api.intuit.com` via outbound HTTPS calls.
2 381 Advarsler -
crash-analytics appeeky/aso-skills
When the user wants to monitor, triage, or reduce their app's crash rate — including setting up Crashlytics, prioritizing which crashes to fix first, interpreting crash data, and understanding how crashes affect App Store ranking. Use when the user mentions "crash", "crashlytics", "crash rate", "ANR", "app not responding", "crash-free sessions", "crash-free users", "symbolication", "stability", "firebase crashes", "app crashing", or "crash report". For overall analytics setup, see app-analytics.
2 235 Advarsler -
firecrawl-dashboard-reporting firecrawl/skills
Pull metrics from analytics dashboards and internal web tools with Firecrawl browser. Use when the user needs dashboard reporting, cross-platform metric summaries, authenticated analytics extraction, date-range reports, or structured metrics from web dashboards.
2 233 Advarsler -
huggingface-datasets huggingface/skills
Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, download parquet URLs, and read size or statistics.
2 174 Advarsler -
csv-data-summarizer coffeefuelbump/csv-data-summarizer-claude-skill
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
2 074 Advarsler -
spark-training-gotchas wshobson/agents
Preflight and diagnose the ten known failure modes for ML training on NVIDIA DGX Spark. Use when a training run on DGX Spark fails to start, OOMs below the 128GB limit, slows down mid-run, or before any multi-hour training job on GB10.
2 066 Advarsler -
spark-memory-thermal-ops wshobson/agents
Manage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified memory, or when monitoring temperature and power during multi-hour training.
2 066 Advarsler -
spark-environment-setup wshobson/agents
Set up a working ML training/inference environment on NVIDIA DGX Spark (GB10, aarch64, CUDA 13). Use when installing PyTorch/Unsloth/TRL/vLLM on DGX Spark, hitting libcudart or wheel-ABI errors on aarch64, or choosing between NGC containers and bare pip installs.
2 064 Advarsler -
llm-intelligent-public-opinion-analytics reason-machines/data-skills
Deploy and use an LLM-powered public opinion analytics assistant that crawls 26 hot lists from 15 platforms, performs sentiment analysis, topic clustering, and multi-channel alerting
2 053 Advarsler -
analytics-tracking-automation reason-machines/data-skills
AI-powered GA4 + GTM event tracking automation — analyzes sites, designs event schemas, syncs GTM containers, runs preview verification, and publishes tracking implementations.
2 043 Advarsler -
altimate-data-engineering-skills reason-machines/data-skills
Claude Code skills for analytics and data engineers working with dbt, Snowflake, and data pipelines
2 042 Advarsler -
harvard-art-museums-data-pipeline reason-machines/data-skills
Build end-to-end data engineering pipelines with the Harvard Art Museums API, ETL processes, SQL analytics, and Streamlit visualization
2 025 Advarsler -
realtime-cinema-data-engineering-pipeline reason-machines/data-skills
Build end-to-end real-time data pipelines with Kafka, PostgreSQL, Airflow, and Streamlit using Medallion Architecture for streaming analytics.
2 025 Advarsler -
machine-learning mindrally/skills
Machine learning development with JAX, functional programming patterns, and high-performance computing.
2 019 Advarsler -
harvard-art-museums-etl-analytics reason-machines/data-skills
Build ETL pipelines and analytics dashboards using Harvard Art Museums API with Python, SQL, and Streamlit
2 014 Advarsler -
harvard-art-museum-etl-analytics reason-machines/data-skills
Build end-to-end data engineering pipelines with Harvard Art Museums API, ETL workflows, SQL analytics, and Streamlit visualization.
2 009 Advarsler -
harvard-artifacts-data-engineering-pipeline reason-machines/data-skills
Build ETL pipelines and analytics dashboards using Harvard Art Museums API with SQL storage and Streamlit visualization
2 001 Advarsler -
harvard-artifacts-data-engineering-analytics reason-machines/data-skills
Build end-to-end ETL pipelines and analytics dashboards using the Harvard Art Museums API with Python, SQL, and Streamlit
1 998 Advarsler -
analytics-events metabase/metabase
Add product analytics events to track user interactions in the Metabase frontend
1 982 Advarsler -
harvard-art-museum-data-pipeline reason-machines/data-skills
Build ETL pipelines and analytics dashboards using the Harvard Art Museums API with Streamlit, MySQL, and Python
1 978 Advarsler -
harvard-artifacts-data-engineering-app reason-machines/data-skills
Build ETL pipelines and analytics dashboards using the Harvard Art Museums API with SQL storage and Streamlit visualization
1 971 Advarsler -
harvard-artifacts-collection-analytics-pipeline reason-machines/data-skills
End-to-end data engineering pipeline for Harvard Art Museums API with ETL, SQL analytics, and Streamlit visualization
1 947 Advarsler -
harvard-artifacts-collection-etl-analytics reason-machines/data-skills
Build ETL pipelines and analytics dashboards for Harvard Art Museums API data using Python, SQL, and Streamlit
1 940 Advarsler -
harvard-artifacts-collection-data-engineering-analytics reason-machines/data-skills
End-to-end data engineering and analytics application using Harvard Art Museums API with ETL pipelines, SQL analytics, and Streamlit visualization
1 932 Advarsler -
harvard-artifacts-etl-streamlit-analytics reason-machines/data-skills
Build ETL pipelines and analytics dashboards using Harvard Art Museums API data with Python, SQL, and Streamlit
1 891 Advarsler -
harvard-artifacts-collection-data-engineering reason-machines/data-skills
End-to-end data engineering and analytics application for Harvard Art Museums API with ETL pipelines, SQL analytics, and Streamlit visualization
1 890 Advarsler -
exploratory-data-analysis davila7/claude-code-templates
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.
1 869 Advarsler -
harvard-art-museums-data-engineering-app reason-machines/data-skills
End-to-end data engineering and analytics application for Harvard Art Museums API with ETL pipelines, SQL analytics, and Streamlit visualization
1 857 Advarsler -
vss-setup-video-analytics-api nvidia/skills
Use to deploy the vss-video-analytics-api REST service standalone (config-source, data-log bind, Elasticsearch, optional Kafka). Not for full warehouse deploy.
1 826 Advarsler -
harvard-artifacts-data-pipeline reason-machines/data-skills
Build end-to-end data engineering pipelines using Harvard Art Museums API with ETL, SQL analytics, and Streamlit visualization
1 817 Advarsler -
vss-setup-behavior-analytics nvidia/skills
Use to deploy the vss-behavior-analytics service standalone (entrypoint, config-source, optional calibration). Not for the full warehouse deploy.
1 814 Advarsler -
harvard-art-museums-etl-pipeline reason-machines/data-skills
Build ETL pipelines and analytics dashboards using Harvard Art Museums API with Python, SQL, and Streamlit
1 779 Advarsler -
dask k-dense-ai/scientific-agent-skills
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
1 775 Advarsler -
harvard-art-museums-data-engineering-pipeline reason-machines/data-skills
Build end-to-end data engineering pipelines with Harvard Art Museums API, ETL, SQL analytics, and Streamlit dashboards
1 758 Advarsler -
deep-learning-pytorch mindrally/skills
Expert guidance for deep learning, transformers, diffusion models, and LLM development with PyTorch, Transformers, Diffusers, and Gradio.
1 757 Advarsler -
harvard-artifacts-etl-pipeline reason-machines/data-skills
Build ETL pipelines and analytics dashboards using the Harvard Art Museums API with Streamlit, SQL, and Plotly
1 733 Advarsler -
geomaster k-dense-ai/scientific-agent-skills
Comprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, cloud-native workflows (STAC, COG, Planetary Computer), and 8 programming languages (Python, R, Julia, JavaScript, C++, Java, Go, Rust) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.
1 722 Advarsler -
deepchem k-dense-ai/scientific-agent-skills
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.
1 697 Advarsler -
huggingface-trackio huggingface/skills
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or retrieving/analyzing logged metrics (CLI). Supports real-time dashboard visualization, alerts with webhooks, HF Space syncing, and JSON output for automation.
1 696 Advarsler -
tao-finetune-huggingface-model nvidia/skills
Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container when no dedicated TAO model skill matches. Use when the user wants to fine-tune a HuggingFace model (full or LoRA), train a vision / VLM / LLM model end-to-end, generate a reproducible HF training pipeline, smoke-test a HuggingFace model locally before scale-up, push a fine-tuned model to the HF Hub with a model card, or emit a self-contained rerun skill for an existing HuggingFace finetune. Supports image classification, object detection, semantic / instance / panoptic segmentation, depth estimation, image-text-to-text VLM (SFT / LoRA), and LLM SFT / DPO / GRPO. Six-step workflow: inspect and qualify, hardware and NGC image, research, generate and smoke, train + eval + infer, push and emit rerun skill. Do not use for any Hugging Face model ID claimed by a dedicated `skills/models/*` skill; the model skill and its declared execution environment take precedence.
1 663 Advarsler
Beskrivelsene er forfatternes egne, på engelsk. Les koden til en ferdighet i repositoriet før du installerer den.
En skill er en mappe med en fil som heter SKILL.md, og noen ganger skript. Agenten laster den inn når oppgaven passer, og får da instrukser og verktøy for akkurat det området – for eksempel å skrive tester på en bestemt måte, jobbe med et rammeverk eller følge en organisasjons stilregler. Katalogen viser skills fra skills.sh for Claude Code, Codex, Cursor og andre agenter.
Hva katalogen viser
- navn, forfatter og kodelager (repository);
- antall installasjoner, talt av skills.sh;
- status for sikkerhetsrevisjon;
- kommandoen for å legge til skillen, med knappen «Kopier kommandoen».
Katalogen inneholder topp 10 000 skills etter antall installasjoner og synkroniseres daglig. «Populært nå» bygger på hvor mange nye installasjoner en skill har fått de siste 7 dagene. Du kan filtrere etter emne og agent eller søke, og høyst 100 skills vises per visning.
Slik finner og installerer du en skill
- Start med et konkret problem og søk etter det, eller filtrer på agenten du bruker.
- Sammenlign noen kandidater: forfatter, når kodelageret sist ble oppdatert, og revisjonsstatus.
- Åpne kodelageret og les SKILL.md og eventuelle skript.
- Kopier kommandoen og legg skillen til i et testprosjekt først.
Hva betyr revisjonsstatusen?
Statusene kommer fra revisjonene som skills.sh publiserer: «Bestått», «Advarsler», «Ikke bestått» og «Ikke revidert». En bestått revisjon er ingen garanti. En skill kan kjøre skript med samme rettigheter som agenten, så les koden før du installerer den – særlig i prosjekter med følsomme data.
Hvorfor er beskrivelsene på engelsk?
Beskrivelsene er forfatternes egne og oversettes ikke, for ikke å endre meningen. Navnet og koden i kodelageret sier ofte mer enn beskrivelsen om hva en skill faktisk gjør. Hvilken agent du bruker, finner du blant kodeagentene.