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fedi.software

Veščine za agente

Veščine za Claude Code, Codex, Cursor in druge agente iz imenika skills.sh: namestitve, stanje varnostnega pregleda in ukaz za dodajanje veščine.

Skill ni vezan na enega agenta: npx skills add ga namesti v katerega koli podprtega. Brez -a orodje samo poišče agente v računalniku in vpraša, kam ga dodati.

Posodobljeno · Viri: skills.sh

Prikazano: 26 · najdenih: 26 · od 10.000 v imeniku

  • 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.

    16.205 Neuspešno
  • 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.

    5.360 Neuspešno
  • 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.

    4.407 Neuspešno
  • 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.

    3.608 Neuspešno
  • 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.

    3.583 Neuspešno
  • 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.

    3.574 Neuspešno
  • 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.

    3.283 Neuspešno
  • 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.

    3.150 Neuspešno
  • apify-content-analytics apify/agent-skills

    2.544 Neuspešno
  • 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 Neuspešno
  • roblox-mm2-analytics-toolkit reason-machines/data-skills

    Analytics and inventory management toolkit for Roblox Murder Mystery 2 gameplay optimization

    2.376 Neuspešno
  • 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 Neuspešno
  • mm2-roblox-analytics-toolkit reason-machines/data-skills

    Murder Mystery 2 gameplay analytics, inventory tracking, and strategy optimization toolkit for Roblox

    2.354 Neuspešno
  • mm2-analytics-dashboard-roblox reason-machines/data-skills

    Murder Mystery 2 inventory tracking, analytics dashboard, and gameplay optimization toolkit for Roblox

    2.344 Neuspešno
  • 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 Neuspešno
  • 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 Neuspešno
  • mm2-roblox-analytics-tracker reason-machines/data-skills

    Analytics and inventory tracking toolkit for Roblox Murder Mystery 2 with strategic gameplay insights

    2.320 Neuspešno
  • 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 Neuspešno
  • 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.

    2.186 Neuspešno
  • 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 Neuspešno
  • 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 Neuspešno
  • 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 Neuspešno
  • 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 Neuspešno
  • 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。

    1.682 Neuspešno
  • 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 Neuspešno
  • 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。

    1.586 Neuspešno

Opise so napisali avtorji sami, v angleščini. Pred namestitvijo preberite kodo veščine v njenem repozitoriju.

Veščine so dodatki za agente UI, kot so Claude Code, Codex, Cursor in drugi. Veščina je mapa z datoteko SKILL.md in po potrebi skriptami; agent jo naloži, ko naloga ustreza njenemu opisu. Tako agent dobi navodila za določeno delo, na primer pripravo dokumentov, testiranje ali delo z določenim ogrodjem.

Kaj je v imeniku

Imenik prikazuje veščine iz imenika skills.sh: ime, avtorja in repozitorij, število namestitev, stanje »Varnostni pregled« in ukaz za dodajanje veščine z gumbom »Kopiraj ukaz«. Vključenih je prvih 10 000 veščin po številu namestitev, podatki se usklajujejo vsak dan. Seznam »V porastu« razvrsti veščine po namestitvah, pridobljenih v zadnjih 7 dneh. Na enem prikazu je največ 100 veščin; več jih najdete s filtri po temi, po agentu in z iskanjem.

Kako namestiti veščino

  1. Poiščite veščino po temi ali agentu, ki ga uporabljate.
  2. Preverite stanje varnostnega pregleda: »Uspešno«, »Opozorila«, »Neuspešno« ali »Ni pregledano«.
  3. Odprite repozitorij in preberite kodo in datoteko SKILL.md.
  4. Kliknite »Kopiraj ukaz« in ukaz zaženite v mapi projekta.

Varnost

Uspešen pregled ni zagotovilo. Veščina lahko vsebuje skripte, ki jih agent izvede na vašem računalniku, zato kodo v repozitoriju preberite pred namestitvijo, zlasti pri veščinah z malo namestitvami ali brez pregleda. Stanja pregledov prevzemamo od skills.sh, ki šteje tudi namestitve.

Opisi v angleščini

Opisi veščin so avtorjevi, v angleščini, in jih ne prevajamo, saj jih agent bere v izvirniku. Za izbiro agenta si oglejte agente za programiranje, za model v ozadju pa lestvico agenti.

Nameščene veščine občasno preglejte in odstranite tiste, ki jih ne uporabljate, da agent ne nalaga nepotrebnih navodil.

Viri: skills.sh (imenik, namestitve, pregledi) in GitHub (koda vsake veščine).