代理技能
來自 skills.sh 目錄、適用於 Claude Code、Codex、Cursor 等代理的技能:安裝次數、安全稽核狀態,以及新增技能的指令。
技能不綁定單一代理:npx skills add 可安裝到任何支援的代理。不加 -a 時,CLI 會偵測電腦上的代理並詢問要加到哪裡。
更新日期 · 來源: skills.sh
顯示: 100 · 找到 132 個 · 目錄共 10,000 個
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pick-ui-library emilkowalski/skills
Pick the right library for a given frontend task from a curated, opinionated list — numbers, OTP inputs, charts, command menus, virtualization, drag and drop, toasts, state, styling, and more. Only runs when explicitly invoked; it does not trigger on its own.
143,564 通過 -
analytics coreyhaines31/marketingskills
When the user wants to set up, improve, or audit analytics tracking and measurement. Also use when the user mentions "set up tracking," "GA4," "Google Analytics," "conversion tracking," "event tracking," "UTM parameters," "tag manager," "GTM," "analytics implementation," "tracking plan," "how do I measure this," "track conversions," "Mixpanel," "Segment," "are my events firing," or "analytics isn't working." Use this whenever someone asks how to know if something is working or wants to measure marketing results. For choosing attribution models, comparing multi-touch/MMM/incrementality, or reconciling conflicting numbers across tools, see attribution. For A/B test measurement, see ab-testing.
74,511 通過 -
analytics-tracking coreyhaines31/marketingskills
57,817 通過 -
design nextlevelbuilder/ui-ux-pro-max-skill
Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini, Atlas Cloud, or MuAPI AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads.
33,942 通過 -
discover-analytics-patterns amplitude/mcp-marketplace
Discovers how analytics tracking calls are actually written in this codebase — the concrete SDK calls, function signatures, and import patterns used to send events. Use this skill whenever you need to understand the existing analytics instrumentation patterns before adding new tracking, when someone asks "how do we track events here?", "show me the analytics setup", "what's the analytics pattern in this codebase?", or any time the instrument-events or discover-event-surfaces skills are about to run and you need to know the correct coding style to follow. Outputs a deduplicated list of patterns with generalized examples and the file paths where each pattern appears, plus the dominant event and property naming conventions inferred from those call sites. Always use this skill before writing any analytics instrumentation code.
29,186 通過 -
discover-event-surfaces amplitude/mcp-marketplace
Given a change_brief YAML (output from diff-intake), generates an exhaustive list of candidate analytics events to instrument. Takes the perspective of an engineer with a PM mindset — surfaces everything worth considering so a PM can decide what actually matters. Use this as step 2 of the analytics instrumentation workflow, immediately after diff-intake produces a change_brief. Trigger whenever a user has a change_brief YAML and wants to know what analytics events to add, or asks "what should I track for this PR", "what events should I instrument", "generate event candidates", or any request to surface analytics coverage gaps for a code change.
29,180 通過 -
data-storytelling wshobson/agents
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
15,971 通過 -
kpi-dashboard-design wshobson/agents
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use this skill when building an executive SaaS metrics dashboard tracking MRR, churn, and LTV/CAC ratios; designing an operations center with live service health and request throughput; creating a cohort retention analysis view for a product team; or debugging a dashboard where metrics contradict each other due to inconsistent calculation methodology.
15,182 通過 -
huawei-cloud-obs-stats huaweicloud/huaweicloud-skills
Query Huawei Cloud OBS (Object Storage Service) statistics: list buckets with capacity and object counts, query extranet/intranet download traffic with month-over-month comparison, and query total requests with month-over-month comparison. Use this skill when the user wants to: (1) list OBS buckets and check their storage capacity and object count, (2) query download traffic with MoM comparison, (3) query request counts with MoM comparison. Trigger: user mentions "OBS", "object storage", "bucket list", "bucket capacity", "download traffic", "total requests", "request count", "month-over-month", "OBS stats", "OBS management", "对象存储", "桶列表", "桶容量", "下载流量", "请求总数", "月环比", "OBS监控"
14,230 通過 -
data-visualization anthropics/knowledge-work-plugins
Create effective data visualizations with Python (matplotlib, seaborn, plotly). Use when building charts, choosing the right chart type for a dataset, creating publication-quality figures, or applying design principles like accessibility and color theory.
12,855 通過 -
grafana-dashboards wshobson/agents
Create and manage production Grafana dashboards for real-time visualization of system and application metrics. Use when building monitoring dashboards, visualizing metrics, or creating operational observability interfaces.
12,584 通過 -
helm-chart-scaffolding wshobson/agents
Design, organize, and manage Helm charts for templating and packaging Kubernetes applications with reusable configurations. Use when creating Helm charts, packaging Kubernetes applications, or implementing templated deployments.
11,452 通過 -
ml-pipeline-workflow wshobson/agents
Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.
10,670 通過 -
spark-optimization wshobson/agents
Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.
10,238 通過 -
nature-statistics yuan1z0825/nature-skills
Audit or improve manuscript statistical reporting, including experimental units, replication, uncertainty, tests, and figure statistics. Use for 统计审查、统计方法小节、图注统计 and reviewer concerns; compute new analyses only when requested with data.
10,117 通過 -
clickhouse-io affaan-m/ecc
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads. Use when writing ClickHouse schemas or queries, or when an analytical query is too slow.
9,775 通過 -
pytorch-patterns affaan-m/ecc
PyTorch deep learning patterns and best practices for building robust, efficient, and reproducible training pipelines, model architectures, and data loading. Use when writing or reviewing PyTorch training loops, model architectures, or data loading, or when a run will not reproduce.
9,124 通過 -
build-dashboard anthropics/knowledge-work-plugins
Build an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one browser-openable file.
8,699 通過 -
cargo-analytics getcargohq/cargo-skills
Get data out of Cargo and measure what ran — download a run output, export a segment or model to CSV or JSON, and pull run and batch success and error counts. Triggers: "download the results", "export this to CSV", "give me the file", "how many succeeded", "what is my error rate", "send me the enriched list", "get the output of that run", "how many records did it write". Skip when: asking why something failed or where credits went — use cargo-diagnostics; asking about credits, plans, or invoices — use cargo-billing.
8,363 通過 -
diagram-design cathrynlavery/diagram-design
Create branded architecture, IT current-state, flowchart, sequence, state machine, ER/data model, timeline, swimlane, quadrant, radar/spider, polar chart (polar/radial lollipop), loop/flywheel, nested, tree, org chart, layer stack, Venn, pyramid/funnel, treemap, heatmap, bar, waterfall, line, Gantt and scatter charts, high-level, process, medallion, data flow, DP integration, DP security matrix, Sankey, fishbone, Wardley map, kanban, user journey, deployment, dependency graph, UML class, story map, or database schema diagrams as HTML/SVG/PNG, with .drawio and .excalidraw import support, plus lifecycle phase maps and onboarding guidance.
8,263 通過 -
chdb-datastore clickhouse/agent-skills
Use when the user has tabular data (pandas DataFrame, parquet, csv, Arrow, json) and wants to filter, group, aggregate, join, or speed up slow pandas. Provides chDB DataStore — same pandas API, ClickHouse engine underneath. Also handles reading from S3, MySQL, PostgreSQL, MongoDB, ClickHouse Cloud, Iceberg, Delta Lake as DataFrames and joining across sources. TRIGGER when: user mentions DataFrame, parquet, csv, "fast pandas", "speed up pandas", or cross-source DataFrame joins; user imports `chdb.datastore` or `from datastore import DataStore`. SKIP this skill for raw SQL syntax (use chdb-sql instead), ClickHouse server administration, or non-Python DataStore API work.
7,624 通過 -
google-analytics-data-api-basics google/skills
Manages Google Analytics reporting data, enables the Analytics Data API via the Cloud CLI, and creates reports using the Google Analytics Data API (v1beta). Use when you need to interact with Google Analytics properties, run customized analytics reports, query metrics (like activeUsers, screenPageViews) and dimensions (like city, date), check metrics and dimensions compatibility, or verify API enablement. Don't use for Google Analytics Admin API operations (e.g., creating properties, managing users) or for front-end tracking installation.
6,361 通過 -
tiktok-marketing claude-office-skills/skills
TikTok content strategy, video creation workflows, posting optimization, and analytics. Based on n8n automation templates.
6,308 通過 -
chart-visualization antvis/chart-visualization-skills
将数据可视化为图表。当用户需要生成柱状图、折线图、饼图、散点图、雷达图、桑基图、思维导图、流程图等图表时调用此技能,通过 curl 工具调用 AntV API 生成图表图片
6,300 通過 -
bigquery-ai-ml google/skills
Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, predict values, detect outliers or anomalies, find key drivers, perform semantic search or vector search, classify text, calculate similarity, summarize content, translate language, evaluate models, filter by semantic conditions, measure the causal effect of an intervention, compute correlations between columns, detect change points or structural breaks, extract trend or seasonality components, or leverage generative AI capabilities in BigQuery. Do not use for general BigQuery dataset, table, or job management requests.
6,151 通過 -
google-analytics-admin-api-basics google/skills
Manages Google Analytics account and property settings, enables the Analytics Admin API via the Cloud CLI, lists accounts and properties, and manages data streams, custom dimensions, conversion events, and integrations. Use when you need to programmatically configure Google Analytics accounts, provision properties, manage data retention, configure Measurement Protocol secrets, or manage Firebase and Google Ads links.
6,112 通過 -
basin cloudflare/skills
Build and troubleshoot Cloudflare Basin analytics workflows with Basin Pipelines, Basin Catalog, and Basin SQL. Use for streaming data into R2 Iceberg tables, managing catalogs, or querying those tables; also use for requests using the former Data Platform, Pipelines, R2 Data Catalog, or R2 SQL names.
5,787 通過 -
gke-inference google/skills
Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers. Use when deploying GKE inference servers, configuring GKE GPU resources for inference, or deploying LLMs on GKE. Don't use for migrating existing AI workloads to GKE (use google-cloud-solution-guided-gke-ai-migration), GKE RAG with Cloud SQL/AlloyDB (use google-cloud-solution-rag-enterprise-search-gke-sqldb), or batch/HPC (use gke-batch-hpc).
5,781 通過 -
seo-google agricidaniel/claude-seo
Google SEO APIs: Search Console (Search Analytics, URL Inspection, Sitemaps), PageSpeed Insights v5, CrUX field data with 25-week history, Indexing API v3, and GA4 organic traffic. Provides real Google field data for Core Web Vitals, indexation status, search performance, and organic traffic trends. Use when user says "search console", "GSC", "PageSpeed", "CrUX", "field data", "indexing API", "GA4 organic", "URL inspection", or "real CWV data".
5,764 通過 -
exporting-rds-to-s3 aws/agent-toolkit-for-aws
Exports Amazon RDS or Aurora database snapshots to Amazon S3 in Apache Parquet format for analytics, backup, or data migration. Handles snapshot selection or creation, IAM role setup, KMS encryption, S3 bucket preparation, export task execution, progress monitoring, and data verification. Use when exporting RDS/Aurora data to S3 for Athena, Glue, or Redshift Spectrum consumption.
5,473 通過 -
aws-cleanrooms aws/agent-toolkit-for-aws
Troubleshoots and debugs AWS Clean Rooms collaboration issues related to IAM roles, S3 bucket policies, KMS keys, Lake Formation permissions, and CloudWatch logging for custom ML model training and inference jobs. Use when a customer reports permission failures, access errors, or log publishing issues in Clean Rooms.
5,154 通過 -
chart-designer claude-office-skills/skills
Design effective data visualizations and charts. Generate chart configurations for ECharts, Chart.js, and other libraries. Create dashboards and reports.
5,060 通過 -
dx-app-analytics-query forcedotcom/sf-skills
ISV App Analytics metadata types — AppAnalyticsQueryRequest and AppAnalyticsSettings. Use this skill when the user asks about retrieving managed package usage data, configuring App Analytics simulation mode, querying subscriber snapshots, or understanding the AppAnalyticsQueryRequest lifecycle (New → Pending → Complete → Expired). TRIGGER when: user mentions App Analytics, AppAnalyticsQueryRequest, AppAnalyticsSettings, package usage data, subscriber analytics, ISV analytics, or simulation mode for app analytics. DO NOT TRIGGER when: the task is about standard Salesforce reports/dashboards (use reporting skills), custom SOQL on Account/Contact (use platform-soql-query).
5,052 通過 -
amazon-opensearch-service aws/agent-toolkit-for-aws
Guides migration, provisioning, search, log-analytics, trace-analytics, and Agentic AI Assistant workflows for Amazon OpenSearch Service and Serverless across six capabilities — migration (Solr/ES/self-managed into AOS/AOSS, schema/query translation, sizing, cutover); provisioning (domain + AOSS lifecycle, upgrades, FGAC, monitoring); search (vector / semantic / hybrid / RAG with Bedrock); log-analytics (PPL, OSI, anomaly detection, Dashboards); trace-analytics (OTel spans, service maps, Data Prepper); ai-assistant (natural language data exploration, incident investigation, root cause analysis). Triggers on OpenSearch, AOS, AOSS, Elasticsearch, Solr, vector/k-NN/semantic/hybrid search, RAG, log analytics, PPL, trace analytics, ISM, FAISS, HNSW, Migration Assistant, UltraWarm, OR1, query my data, analyze logs, investigate errors, root cause analysis.
4,898 通過 -
data-throughput-accelerator affaan-m/ecc
Diagnose and accelerate large data movement — ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, and table synchronization — by isolating the true bottleneck, benchmarking variants, and codifying the fastest path with a hard accounting block proving rows and timestamps cohere. Use when a pipeline or backfill is too slow and must get faster without losing data correctness.
4,765 通過 -
logging-best-practices boristane/agent-skills
Logging best practices focused on wide events (canonical log lines) for powerful debugging and analytics
4,745 通過 -
report-generator claude-office-skills/skills
Generate professional data reports with charts, tables, and visualizations
4,701 通過 -
kb-retriever conardli/garden-skills
面向本地知识库目录的检索和问答助手。核心流程:(1)分层索引导航 (2)遇到PDF/Excel时必须先读取references学习处理方法 (3)处理文件后再检索。按文件类型组合使用 grep、Read、pdfplumber、pandas 进行渐进式检索,避免整文件加载。用户问题涉及"从知识库目录回答问题/检索信息/查资料"时使用。
4,553 通過 -
email-marketing claude-office-skills/skills
Email marketing automation - campaign creation, sequence building, A/B testing, deliverability optimization, and analytics
4,537 通過 -
data-pipeline claude-office-skills/skills
Data pipeline and ETL automation - extract, transform, load workflows for data integration and analytics
4,405 通過 -
google-cloud-solution-agentic-ai-data-science-workflow google/skills
Designs a tailored multi-product agentic data science architecture on Google Cloud that incorporates opinionated best practices. Use when architecting multi-product solutions for agent-based data analytics or ML workloads. Don't use for simple queries, non-agentic pipelines, general cloud reviews, or writing agent code.
4,304 通過 -
querying-aws-sagemaker-catalog aws/agent-toolkit-for-aws
Runs SQL analytics on SageMaker Catalog asset metadata tables exported as Apache Iceberg in S3 Tables. Covers governance queries, asset growth tracking, ownership audits, time-travel over catalog state, and metadata quality analysis. Applies when querying catalog inventory, finding assets without descriptions, comparing catalog snapshots, or auditing data ownership. Trigger phrases: catalog inventory SQL, how many assets, assets without descriptions, asset growth over time, who owns this data, catalog governance, data quality audit, catalog analytics.
4,289 通過 -
google-cloud-solution-agentic-analytics-spark-knowledge-catalog google/skills
Discovers requirements and designs an end-to-end governed agentic analytics solution using Knowledge Catalog and Managed Service for Apache Spark (Lightning Engine). Use when designing data science and analytics workflows across structured and unstructured distributed data (including in S3, Azure Blob, AlloyDB, and Iceberg), establishing metadata governance with Knowledge Catalog aspect types, or grounding agentic IDEs (VS Code, Antigravity) by using the Google Cloud Data Agent Kit. Don't use for provisioning borderless data lakehouse infrastructure (use google-cloud-solution-agentic-ai-borderless-data-lakehouse instead).
4,204 通過 -
mailchimp automation claude-office-skills/skills
Automate Mailchimp email marketing campaigns, audience management, automations, and analytics
4,141 通過 -
cloud-monitoring-chart-generation google/skills
Generates Google Cloud Monitoring Server-Driven UI (SDUI) Widget and XyChart Protocol Buffer textprotos from resolved PromQL or ListTimeSeries queries. Use when: - Generating valid google.monitoring.dashboard.v1.Widget textprotos, containing PrometheusQuery or TimeSeriesFilter datasets, for use with the Cloud Monitoring Dashboards API, gcloud CLI, or declarative dashboard definitions. - Synthesizing Server-Driven UI (SDUI) widget titles, axis labels, and plot types for Prometheus or ListTimeSeries queries. Don't use for: - Metric discovery or PromQL query generation. For those tasks, use the cloud-monitoring-metric-selection or cloud-monitoring-promql-query skills.
3,893 通過 -
apple-on-device-ai dpearson2699/swift-ios-skills
Build private, on-device AI features on iPhone, iPad, and Mac with Foundation Models, Core ML, MLX Swift, or llama.cpp. Use when choosing an Apple-local model runtime, building an Apple Intelligence chatbot or tool-calling feature, running an LLM on Apple Silicon, converting or compressing a Python model for Core ML, or comparing on-device inference backends. For Swift Core ML loading and prediction code, use the coreml skill.
3,820 通過 -
infrastructure grafana/skills
Ship Kubernetes, host, container, and cloud-provider telemetry into Grafana Cloud — `k8s-monitoring` Helm chart for K8s clusters (metrics + logs + traces + events + cost), Alloy `prometheus.exporter.unix` for Linux hosts, cAdvisor + Docker discovery for containers, and CloudWatch / Azure Monitor / Google Cloud Monitoring datasource setup. Use when onboarding a new cluster or VM fleet to Grafana Cloud, picking the right Helm values for K8s scraping, wiring kube-state-metrics + node-exporter + cAdvisor, alerting on `PodCrashLooping` / node memory / PVC capacity, or pulling AWS / Azure / GCP cloud metrics — even when the user says "monitor my cluster", "send K8s metrics to Grafana", "scrape EC2 metrics", "cluster pod logs", or "install the monitoring helm chart" without naming `k8s-monitoring` or Alloy.
3,795 通過 -
swift-charts dpearson2699/swift-ios-skills
Implement, review, or improve data visualizations using Swift Charts. Use when building bar, line, area, point, pie, donut, or iOS 26 3D charts; when adding chart selection, scrolling, annotations, axes, scales, legends, or foregroundStyle grouping; when plotting functions with BarPlot, LinePlot, AreaPlot, PointPlot, Chart3D, or SurfacePlot; or when creating heat maps, Gantt charts, grouped bars, sparklines, threshold lines, or spatial visualizations.
3,771 通過 -
jupyter-notebook-writing zc277584121/marketing-skills
Write Milvus application-level Jupyter notebook examples using a Markdown-first workflow with jupyter-switch for format conversion.
3,721 通過 -
gke-ai-troubleshooting-jobset-interruption google/skills
Diagnoses GKE JobSet interruptions, restarts, and preemptions for AI/ML training workloads autonomously. Use when troubleshooting JobSet restart loops, spot VM preemptions, node readiness failures, host VM issues, or coordinator worker crashes. Don't use for general GKE cluster creation, basic workload deployment, or non-JobSet application issues.
3,701 通過 -
computer-vision-opencv mindrally/skills
Expert guidance for computer vision development using OpenCV, PyTorch, and modern deep learning techniques for image and video processing.
3,651 通過 -
tldraw-skill 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 .tldr JSON files and exports to PNG/SVG locally using @kitschpatrol/tldraw-cli.
3,645 通過 -
ml-adoption-playbook affaan-m/ecc
End-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. Covers problem framing, data readiness, architectural decoupling, and baseline model integration. Use when adding a machine learning capability to a codebase that has none, from problem framing through a baseline model.
3,624 通過 -
ml-ai grafana/skills
Turn on AI + ML features in Grafana Cloud — Grafana Assistant (NL → PromQL/LogQL/TraceQL, dashboard build, incident investigation, MCP integration), Dynamic Alerting (Prophet forecasting + DBSCAN outlier detection), Sift (8-analysis automated root-cause), Knowledge Graph + RCA Workbench, and the LLM Plugin (OpenAI / Anthropic / Azure / Ollama / vLLM / LiteLLM). Use when you want anomaly alerts without static thresholds, natural-language querying, automated incident investigation, dashboards generated from a sentence, or a managed LLM proxy for plugins — even when the user says "alert when something looks weird", "explain this PromQL", "find the root cause", "make this a dashboard", or "wire Claude into Grafana" without naming any of these products.
3,609 通過 -
coreml dpearson2699/swift-ios-skills
Integrate Core ML models in iOS apps for on-device machine learning inference. Covers model loading (.mlmodel, .mlpackage, .mlmodelc), predictions with auto-generated classes and MLFeatureProvider, compute unit configuration (CPU, GPU, Neural Engine), MLTensor, VNCoreMLRequest, MLComputePlan, multi-model pipelines, and deployment strategies. Use when loading Core ML models, making predictions, configuring compute units, or profiling model performance.
3,568 通過 -
visualization-expert shubhamsaboo/awesome-llm-apps
3,438 通過 -
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.
3,365 通過 -
weatherkit dpearson2699/swift-ios-skills
Fetch WeatherKit current, minute, hourly, and daily forecasts; weather alerts; iOS 18+ changes, historical comparisons, summaries, and statistics; and required Apple Weather attribution. Use when integrating weather data, showing forecasts or alerts, caching WeatherKit responses, displaying attribution, or reviewing WeatherKit query limits in iOS apps.
3,308 通過 -
network 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.
3,249 通過 -
data-analytics 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.
3,248 通過 -
jupyter-to-marimo marimo-team/skills
Convert a Jupyter notebook (.ipynb) to a marimo notebook (.py).
3,221 通過 -
senior-data-scientist davila7/claude-code-templates
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.
3,212 通過 -
mindmap 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.
3,210 通過 -
app-analytics appeeky/aso-skills
When the user wants to set up, interpret, or improve their app analytics and tracking. Also use when the user mentions "analytics", "tracking", "metrics", "KPIs", "App Store Connect analytics", "install tracking", "funnel", "attribution", or "how is my app performing". For A/B testing, see ab-test-store-listing. For retention metrics, see retention-optimization.
3,186 通過 -
archimate 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.
3,181 通過 -
options-payoff himself65/finance-skills
Render an interactive options payoff chart — expiry P&L plus Black-Scholes theoretical value — with sliders for strikes, premium, IV, DTE, and spot. Use this skill whenever the user describes or shares an options position or strategy and wants to see how it makes or loses money: vertical, calendar, diagonal, or ratio spreads, butterflies, condors and iron condors, straddles, strangles, covered calls, protective or naked puts, or any multi-leg structure. This includes pasted strikes, premiums, and expiries, requests like "show me the payoff" or "draw the P&L curve", and broker screenshots (IBKR, TastyTrade, Robinhood). Use it even when details are partial — defaults fill the gaps.
3,175 通過 -
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.
3,119 通過 -
infocard 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.
3,058 通過 -
market-pulse appeeky/aso-skills
When the user wants a comprehensive App Store market overview, daily/weekly market briefing, or combined view of chart movements, trending keywords, featured apps, and new releases. Also use when the user mentions "market overview", "what's happening on the App Store", "market briefing", "weekly report", "market trends", or "state of the market". For chart-specific rank changes only, see market-movers. For keyword trends only, see keyword-research.
3,011 通過 -
market-movers appeeky/aso-skills
When the user wants to track App Store chart rank changes, find top gainers and losers, detect breakout apps entering the top 100, or identify apps dropping out of charts. Also use when the user mentions "chart movers", "rank changes", "who's rising", "who's falling", "new chart entries", "top gainers", or "market shifts". For broader market overview, see market-pulse. For competitive keyword analysis, see competitor-analysis.
2,994 通過 -
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.
2,986 通過 -
security 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.
2,919 通過 -
sent-analytics sentdm/sent-plugin
Queries Sent phone-number capabilities and aggregate messaging, deliverability, and contact analytics with the Sent MCP tools. Use when a user asks for number lookup, line or channel capability, messages sent, delivery rate, contact growth, dashboard metrics, period comparisons, or date-bounded trends. Use messaging-performance-analyzer for message-level evidence and root-cause diagnosis.
2,898 通過 -
metrics-dashboard phuryn/pm-skills
Define and design a product metrics dashboard with key metrics, data sources, visualization types, and alert thresholds. Use when creating a metrics dashboard, defining KPIs, setting up product analytics, or building a data monitoring plan.
2,816 通過 -
platform-report-generate forcedotcom/sf-skills
Use when users create, generate, or validate Salesforce Lightning Report metadata (.report-meta.xml) — tabular, summary, matrix, or joined reports with columns, groupings, filters, charts, cross-filters, buckets, formulas, or time-frame filters. Triggers on "create a report", "build a report", "add a chart", or .report-meta.xml deploy errors. Do NOT trigger for Custom Report Type metadata (use platform-custom-report-type-generate), dashboards, list views, running reports in the UI, or SOQL.
2,761 通過 -
swift-security dpearson2699/swift-ios-skills
Use when working with iOS/macOS Keychain Services (SecItem queries, kSecClass, OSStatus errors), biometric authentication (LAContext, Face ID, Touch ID), CryptoKit (AES-GCM, ChaChaPoly, ECDSA, ECDH, HPKE, ML-KEM), Secure Enclave, secure credential storage (OAuth tokens, API keys), certificate pinning (SecTrust, SPKI), keychain sharing across apps/extensions, migrating secrets from UserDefaults or plists, or OWASP MASVS/MASTG mobile compliance on Apple platforms.
2,759 通過 -
kibana-anomaly-detection elastic/agent-skills
Elastic ML anomaly detection — investigation/RCA, score explanation, job lifecycle troubleshooting, and job operations. Use when answering "what broke?"/"which entity?"/RCA, "why is score high/low?"/renormalization, "datafeed stopped"/"memory limit"/hard_limit, or configuring ML anomaly detection jobs. Reads results from `.ml-anomalies-*` and job state from ML REST APIs.
2,708 通過 -
field-notes-editorial-template nexu-io/open-design
Editorial "Field Notes" report template with soft paper background, serif hero typography, rounded pastel insight cards, and a retention chart panel. Use when users ask for a premium magazine-style business report, board memo one-pager, or elegant data storytelling layout.
2,633 通過 -
chart-visualization bytedance/deer-flow
This skill should be used when the user wants to visualize data. It intelligently selects the most suitable chart type from 26 available options, extracts parameters based on detailed specifications, and generates a chart image using a JavaScript script.
2,595 通過 -
domain-ml actionbook/rust-skills
Use when building ML/AI apps in Rust. Keywords: machine learning, ML, AI, tensor, model, inference, neural network, deep learning, training, prediction, ndarray, tch-rs, burn, candle, 机器学习, 人工智能, 模型推理
2,559 通過 -
lean-analytics wondelai/skills
Choose and audit startup metrics using Croll and Yoskovitz's "Lean Analytics". Use when the user mentions "what metrics should we track", "KPIs", "north star metric", "One Metric That Matters (OMTM)", "vanity metrics", "analytics dashboard", "DAU/MAU", "churn benchmark", or "measure product-market fit". Also trigger when choosing metrics for a startup or feature, auditing a dashboard for vanity metrics, setting metric targets and baselines, or instrumenting a product by business model and stage. Covers good-vs-vanity metrics, the One Metric That Matters, metrics by business model, the five startup stages, and benchmarks. For the build-measure-learn loop, see lean-startup. For fixing activation and retention, see improve-retention.
2,540 通過 -
frame-data-chart-nyt nexu-io/open-design
NYT-newsroom typography, staggered reveal animation, and editorial-grade charts (line, bar, or range band).
2,467 通過 -
dx-project-create forcedotcom/sf-skills
Scaffold a new Salesforce DX project of any template — standard, empty, analytics, agent, or a React/Angular UI-bundle app — and set it up end-to-end: relocate the session, connect an org, set the default, enable source tracking. Use when the user asks to create or scaffold a new Salesforce/SFDX project, start a new React/Angular Salesforce app, or run 'sf template generate project'. DO NOT TRIGGER for: building/editing/styling an EXISTING UI-bundle app (experience-ui-bundle-frontend-generate); scaffolding only a UI bundle as a step of building one out (experience-ui-bundle-project-generate, experience-ui-bundle-app-coordinate); tool validation (platform-environment-validate); org auth (login); project stats; scratch orgs (dx-org-manage).
2,448 通過 -
blog-chart agricidaniel/claude-blog
Generate dark-mode-compatible inline SVG data visualization charts for blog posts. Supports horizontal bar, grouped bar, donut, line, lollipop, area, and radar charts with automatic platform detection (HTML vs JSX/MDX). Enforces chart type diversity, accessible markup (role=img, aria-labelledby), source attribution, and transparent backgrounds. Use when user says "blog chart", "generate chart", "data visualization", "svg chart", "blog graph", or "visualize data".
2,403 通過 -
etl-connector-strategy samber/developer-platform-skills
Plan a SaaS vendor's presence as a source connector on third-party ETL/ELT platforms - demand validation before any build, platform selection from where customers' data stacks run, a build-path menu (platform-managed listing, vendor-maintained SDK connector, custom open-source tap) ranked by who absorbs the maintenance tax, an extraction-readiness audit of the product API, honest CDC scoping (API sources ship pseudo-CDC, never log-based), certification targets, and a funded maintenance plan. Use whenever the user mentions an ETL or ELT catalog listing, a source connector, data-pipeline integration, or adding CDC - even if they never say "connector strategy". Do NOT use for the vendor's own inbound marketplace - use samber/developer-platform-skills@connector-marketplace-strategy instead.
2,393 通過 -
datatalks-data-engineering-zoomcamp reason-machines/data-skills
Free 9-week data engineering course covering Docker, Terraform, Kestra, BigQuery, dbt, Spark, and Kafka with hands-on projects
2,388 通過 -
stockbee-setup-fluency-trainer tradermonty/claude-trading-skills
Build a Stockbee-style setup model book from momentum-burst screener candidates, then update 3-day and 5-day forward outcomes with MFE/MAE, stop-hit status, outcome tags, and cohort statistics. Use when the user wants to study Stockbee Momentum Burst examples, track failed candidates, build setup fluency, review A/B setup quality, or convert screener outputs into a learning loop rather than immediate trade signals.
2,365 通過 -
analytics-tracking kostja94/marketing-skills
2,313 通過 -
echarts sentimony/skills
You MUST use this when building, styling, debugging, or optimizing Apache ECharts charts in JavaScript, React, or Vue - setup, lifecycle, responsive resizing, theming, large datasets, streaming, SSR, and symptoms like a blank chart or broken resize. Not for choosing chart types or for other charting libraries.
2,266 通過 -
business-analytics-reporter ailabs-393/ai-labs-claude-skills
This skill should be used when analyzing business sales and revenue data from CSV files to identify weak areas, generate statistical insights, and provide strategic improvement recommendations. Use when the user requests a business performance report, asks to analyze sales data, wants to identify areas of weakness, or needs recommendations on business improvement strategies.
2,213 通過 -
mapbox-style-patterns mapbox/mapbox-agent-skills
Common style patterns, layer configurations, and recipes for typical mapping scenarios including restaurant finders, real estate, data visualization, navigation, delivery/logistics, and more. Use when implementing specific map use cases or looking for proven style patterns.
2,164 通過 -
scientific-visualization k-dense-ai/scientific-agent-skills
Create and audit truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly. Use for figure design, multi-panel layouts, uncertainty and missing-data displays, color/contrast review, image metadata validation, and journal export planning.
2,137 通過 -
data-visualization owl-listener/designer-skills
Select chart types and design data encodings — marks, axes, labels, and accessible chart styling. Use when presenting data graphically. Owns chart selection and encoding only; the categorical colour ramp itself belongs to `color-system`.
2,121 通過 -
employee-performance-analytics-hr reason-machines/data-skills
SQL and Python-based employee performance analytics with KPI aggregation, departmental insights, and HR dashboard generation
2,051 通過 -
options-analytics-agent-langgraph reason-machines/data-skills
Build AI agents for real-time financial options analysis with LangGraph, ChromaDB RAG, and Polygon.io data
2,046 通過 -
posthog-instrumentation posthog/posthog-for-claude
Automatically add PostHog analytics instrumentation to code. Triggers when user asks to add tracking, instrument events, add analytics, or implement feature flags in their codebase.
2,043 通過 -
enterprise-data-engineering-pipeline-ssis-pyspark reason-machines/data-skills
End-to-end ELT pipeline using SSIS, SQL Server, and PySpark for enterprise data warehousing and analytics
2,033 通過 -
amee-joshi-data-engineering-portfolio reason-machines/data-skills
Reference portfolio demonstrating Azure data engineering patterns, Medallion architecture, and end-to-end analytics solutions
2,032 通過 -
scikit-learn k-dense-ai/scientific-agent-skills
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
1,956 通過 -
technical-analysis omer-metin/skills-for-antigravity
Master of price action, chart patterns, and technical indicators - combining classical Wyckoff/Dow theory with modern quantitative validation for edge identificationUse when "technical analysis, chart pattern, indicator, RSI, MACD, support resistance, trend, candlestick, price action, fibonacci, trading, technical-analysis, charts, indicators, price-action, patterns, support-resistance, trend-following" mentioned.
1,948 通過
說明文字由作者本人以英文撰寫。安裝前請先到儲存庫閱讀技能的程式碼。
技能是給 AI 代理使用的擴充,例如 Claude Code、Codex、Cursor 等。一個技能就是一個資料夾,裡面有 SKILL.md 檔案,也可能附上腳本;當任務符合描述時,代理會載入它。這樣代理就能取得特定工作的指引,例如製作文件、撰寫測試或使用某個框架。
目錄裡有什麼
目錄收錄 skills.sh 上的技能,顯示名稱、作者與儲存庫、安裝數、「安全稽核」狀態,以及加入技能的指令與「複製指令」按鈕。收錄依安裝數排名的前 10,000 個技能,每天同步。「熱門趨勢」依過去 7 天新增的安裝數排序。每次顯示最多 100 個技能,可以用主題、代理篩選或搜尋找到更多。
如何安裝技能
- 依主題或您使用的代理找出技能。
- 查看稽核狀態:「通過」、「有警告」、「未通過」或「未稽核」。
- 打開儲存庫,閱讀程式碼與 SKILL.md。
- 按「複製指令」,在專案資料夾中執行。
安全
稽核通過並不是保證。技能可能包含代理會在您電腦上執行的腳本,安裝前請先讀過儲存庫中的程式碼,安裝數少或未稽核的技能更要小心。稽核狀態與安裝數都來自 skills.sh。
英文說明
技能說明由作者撰寫,使用英文,我們不做翻譯,因為代理讀的是原文。挑選代理請看 程式設計代理,背後的模型請看 代理排行榜。已安裝的技能也要定期檢查,移除用不到的,避免代理載入多餘的指引。
來源:skills.sh(目錄、安裝數、稽核)與 GitHub(各技能的程式碼)。