Skill agen
Skill untuk Claude Code, Codex, Cursor, dan agen lain dari direktori skills.sh: jumlah instalasi, status audit keamanan, dan perintah untuk menambahkan skill.
Skill tidak terikat pada satu agen: npx skills add memasangnya ke agen mana pun yang didukung. Tanpa -a, CLI mencari agen di komputer Anda dan menanyakan ke mana skill ditambahkan.
Diperbarui · Sumber: skills.sh
Ditampilkan: 26 · ditemukan: 26 · dari 10.000 di direktori
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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.
16.126 Gagal -
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.
5.343 Gagal -
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.
4.379 Gagal -
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.
3.596 Gagal -
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.
3.566 Gagal -
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.
3.560 Gagal -
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.
3.268 Gagal -
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.
3.135 Gagal -
apify-content-analytics apify/agent-skills
2.544 Gagal -
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 Gagal -
roblox-mm2-analytics-toolkit reason-machines/data-skills
Analytics and inventory management toolkit for Roblox Murder Mystery 2 gameplay optimization
2.376 Gagal -
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 Gagal -
mm2-roblox-analytics-toolkit reason-machines/data-skills
Murder Mystery 2 gameplay analytics, inventory tracking, and strategy optimization toolkit for Roblox
2.354 Gagal -
mm2-analytics-dashboard-roblox reason-machines/data-skills
Murder Mystery 2 inventory tracking, analytics dashboard, and gameplay optimization toolkit for Roblox
2.344 Gagal -
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 Gagal -
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 Gagal -
mm2-roblox-analytics-tracker reason-machines/data-skills
Analytics and inventory tracking toolkit for Roblox Murder Mystery 2 with strategic gameplay insights
2.320 Gagal -
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 Gagal -
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.
2.181 Gagal -
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 Gagal -
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 Gagal -
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 Gagal -
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 Gagal -
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。
1.679 Gagal -
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 Gagal -
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。
1.576 Gagal
Deskripsi ditulis oleh pembuatnya sendiri, dalam bahasa Inggris. Baca kode skill di repositorinya sebelum menginstalnya.
Apa itu skill
Skill adalah folder berisi berkas SKILL.md dan, bila perlu, skrip yang dimuat agen AI ketika tugasnya cocok. Bayangkan sebagai panduan khusus: agen tidak perlu dijelaskan ulang di setiap percakapan karena ia membaca instruksi skill tepat pada waktunya. Direktori ini memuat skill dari skills.sh untuk Claude Code, Codex, Cursor, dan agen lain.
Yang ditampilkan halaman ini
- nama, pembuat, dan repositori setiap skill;
- jumlah instalasi dan status audit keamanan;
- perintah untuk menambahkan skill, lengkap dengan tombol “Salin perintah”.
Direktori berisi 10 000 skill dengan instalasi terbanyak dan disinkronkan setiap hari. Tab “Sedang tren” mengurutkan berdasarkan tambahan instalasi dalam 7 hari terakhir. Tersedia filter topik dan agen serta kotak pencarian; setiap tampilan memuat paling banyak 100 skill.
Memahami status audit
Status berasal dari audit yang diterbitkan skills.sh: “Lolos”, “Peringatan”, “Gagal”, dan “Belum diaudit”. Audit yang lolos bukan jaminan. Skill bisa memuat skrip yang berjalan di komputer Anda, jadi baca kodenya di repositori sebelum memasang, terutama bila skill meminta akses ke berkas, jaringan, atau kredensial.
Kebiasaan memasang yang aman
Saring berdasarkan agen yang Anda pakai dan topik tugas. Buka repositorinya, baca SKILL.md dan skripnya. Utamakan skill berstatus “Lolos” dengan pembuat yang jelas identitasnya. Salin perintahnya dan pasang dulu di proyek uji sebelum dipakai untuk pekerjaan sungguhan. Jika skill tidak lagi diperlukan, hapus agar agen tidak memuatnya tanpa sengaja.
Contoh skill yang berguna
Ada skill untuk menulis dokumentasi, menjalankan tes, merapikan kode frontend, atau bekerja dengan basis data. Filter topik membantu menemukannya. Pilih yang sesuai tumpukan teknologi Anda. Jangan memasang terlalu banyak sekaligus. Beberapa skill yang benar-benar dipakai lebih bermanfaat daripada puluhan yang jarang tersentuh.
Catatan
Deskripsi skill ditulis sendiri oleh pembuatnya dalam bahasa Inggris dan tidak diterjemahkan. Jumlah instalasi dihitung oleh skills.sh. Untuk memilih agen yang akan memakai skill, lihat halaman agen pemrograman.