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： 26 · 找到 26 個 · 目錄共 10,000 個
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gmgn-market gmgnai/gmgn-skills
Get crypto and meme token price charts (K-line, candlestick, OHLCV), trending meme coin rankings by volume, newly launched tokens on launchpads (pump.fun, fourmeme, letsbonk, Raydium, etc.), the hot-search ranking (most-searched tokens), and search for a specific token or wallet by name, symbol, contract address, wallet address, or ENS via GMGN API on Solana, BSC, Base, or Ethereum. Use when user asks for price chart, trending tokens, what's pumping, hot coins, most searched tokens, new launches, token signals, wants to look up / find / search a specific token or wallet by name or address, or wants to discover early-stage opportunities.
16,038 未通過 -
pandas-pro jeffallan/claude-skills
Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.
5,323 未通過 -
elasticsearch-esql elastic/agent-skills
Execute ES|QL (Elasticsearch Query Language) queries, use when the user wants to query Elasticsearch data, analyze logs, aggregate metrics, explore data, or create charts and dashboards from ES|QL results.
4,360 未通過 -
ml-pipeline jeffallan/claude-skills
Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation workflows. Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, managing experiment tracking systems, setting up DVC for data versioning, tuning hyperparameters, or configuring MLOps tooling like Kubeflow, Airflow, MLflow, or Prefect.
3,583 未通過 -
security-ownership-map openai/skills
Analyze git repositories to build a security ownership topology (people-to-file), compute bus factor and sensitive-code ownership, and export CSV/JSON for graph databases and visualization. Trigger only when the user explicitly wants a security-oriented ownership or bus-factor analysis grounded in git history (for example: orphaned sensitive code, security maintainers, CODEOWNERS reality checks for risk, sensitive hotspots, or ownership clusters). Do not trigger for general maintainer lists or non-security ownership questions.
3,553 未通過 -
spark-engineer jeffallan/claude-skills
Use when writing Spark jobs, debugging performance issues, or configuring cluster settings for Apache Spark applications, distributed data processing pipelines, or big data workloads. Invoke to write DataFrame transformations, optimize Spark SQL queries, implement RDD pipelines, tune shuffle operations, configure executor memory, process .parquet files, handle data partitioning, or build structured streaming analytics.
3,546 未通過 -
ai-ml-security yaklang/hack-skills
AI/ML security playbook. Use when assessing model supply chain attacks (pickle RCE, poisoned weights), adversarial examples, model poisoning, model stealing, data privacy attacks (membership inference, model inversion), and autonomous agent security risks.
3,252 未通過 -
breadth-chart-analyst tradermonty/claude-trading-skills
This skill should be used when analyzing market breadth charts, specifically the S&P 500 Breadth Index (200-Day MA based) and the US Stock Market Uptrend Stock Ratio charts. Use this skill when the user provides breadth chart images for analysis, requests market breadth assessment, positioning strategy recommendations, or wants to understand medium-term strategic and short-term tactical market outlook based on breadth indicators. Also works WITHOUT chart images by fetching CSV data directly from public sources. All analysis and output are conducted in English.
3,126 未通過 -
apify-content-analytics apify/agent-skills
2,544 未通過 -
llm-public-opinion-analytics-assistant reason-machines/data-skills
Multi-platform hot search crawler and LLM-powered public opinion analysis system with clustering, sentiment analysis, and multi-channel push notifications
2,380 未通過 -
roblox-mm2-analytics-toolkit reason-machines/data-skills
Analytics and inventory management toolkit for Roblox Murder Mystery 2 gameplay optimization
2,376 未通過 -
mm2-analytics-roblox-tracker reason-machines/data-skills
Analyze Murder Mystery 2 gameplay data, track inventory, and optimize strategy using this Roblox analytics toolkit
2,355 未通過 -
mm2-roblox-analytics-toolkit reason-machines/data-skills
Murder Mystery 2 gameplay analytics, inventory tracking, and strategy optimization toolkit for Roblox
2,354 未通過 -
mm2-analytics-dashboard-roblox reason-machines/data-skills
Murder Mystery 2 inventory tracking, analytics dashboard, and gameplay optimization toolkit for Roblox
2,344 未通過 -
murder-mystery-2-analytics-toolkit reason-machines/data-skills
Analytics dashboard and inventory management toolkit for Roblox Murder Mystery 2 game data tracking and optimization
2,338 未通過 -
mm2-analytics-roblox-toolkit reason-machines/data-skills
Roblox Murder Mystery 2 analytics dashboard and inventory tracking toolkit with data visualization and strategy analysis
2,337 未通過 -
mm2-roblox-analytics-tracker reason-machines/data-skills
Analytics and inventory tracking toolkit for Roblox Murder Mystery 2 with strategic gameplay insights
2,320 未通過 -
llm-public-opinion-analytics reason-machines/data-skills
Multi-platform public opinion analysis assistant with web scraping, LLM-powered analytics, topic clustering, sentiment analysis, and multi-channel alerts
2,255 未通過 -
ml-paper-writing orchestra-research/ai-research-skills
Write publication-ready ML/AI papers for NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Use when drafting papers from research repos, structuring arguments, verifying citations, or preparing camera-ready submissions. For systems venues (OSDI, NSDI, ASPLOS, SOSP), use systems-paper-writing instead.
2,174 未通過 -
data-engineering-medallion-pipeline reason-machines/data-skills
End-to-end data engineering pipeline using MinIO, Airbyte, PostgreSQL, DBT, and Airflow with medallion architecture (Bronze/Silver/Gold layers)
2,043 未通過 -
harvard-artifacts-etl-analytics reason-machines/data-skills
Build ETL pipelines and analytics dashboards for Harvard Art Museums API data with Python, SQL, and Streamlit
2,015 未通過 -
retail-etl-pipeline-medallion reason-machines/data-skills
End-to-end retail ETL pipeline using PySpark, SQL Server, and Medallion Architecture (Bronze/Silver/Gold layers) for data warehousing
1,788 未通過 -
snowflake-dbt-airbnb-analytics reason-machines/data-skills
Inside Airbnb data warehouse built with Snowflake and dbt, demonstrating modern analytics engineering patterns with staging, intermediate, and mart layers.
1,702 未通過 -
qqmusic tencentmusic/qqmusic-skills
QQ Music — search songs, albums, playlists, music videos, artists; daily recommendations; music charts & rankings; AI-powered playlists; personalized listening reports & music insights. QQ音乐助手：搜索、每日推荐、排行榜、AI歌单、听歌报告、AI解读。
1,666 未通過 -
okx starchild-ai-agent/official-skills
OKX OnChainOS: on-chain trading, analytics, security, DeFi across 20+ chains. Use when running OKX-routed on-chain ops (e.g. swap on Ethereum, scan token risk, track smart money, check wallet portfolio). Wallet: default to the user's Agent Wallet (via the `wallet` skill). Only use the OnchainOS TEE wallet (`onchainos wallet login <email>`) when the user explicitly asks for it.
1,652 未通過 -
lieflat-charts larashero3-dotcom/lieflat-charts
一套模板驱动的数据可视化与报告生成 skill，既能严格从 Lupi、Basics、Glance、Maps 与 Interactive gallery 的真实实现生成 HTML 图表，也能从 12 套中英文整页报告模板生成可发布的 HTML 报告；以 Mono 为保底，能按数据语义自动选择内置彩色预设，也支持用户明确提供的自定义色板。地图仅在用户明确要求时启用，同一交付禁止混用色系。
1,560 未通過
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）。