В каталоге 183 730 навыков в 14 категориях.
Unity Catalog system tables and volumes. Use when querying system tables (audit, lineage, billing) or working with volum...
Unity Catalog system tables for lineage, audit logs, billing, compute, jobs, and query history. Use when querying system...
Every GTM API plan on datacircle.dev, as one file you download and query. LinkedIn profiles, people and company search,...
Python dataclass best practices: slots, frozen, validation. Trigger when optimizing dataclasses or creating config class...
Dataclass patterns including frozen dataclasses, slots, immutability, and value objects. Activated when designing data c...
Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use thi...
Maintain the NeMo Data Designer Fern docs site under fern/. Use for any documentation change. Triggered by: "edit docs",...
Implement Datadog monitoring and APM for infrastructure and applications.
Implement Datadog monitoring and APM for infrastructure and applications. Configure agents, create dashboards, set up al...
Query Datadog monitors, dashboards, and metrics
Use this skill when you need to search Datadog logs, query metrics, tail logs in real-time, trace distributed requests,...
Set up and troubleshoot Datadog — Agent deployment on Kubernetes, APM instrumentation, Log Management, Monitors, Dashboa...
Expert skill for Datadog Observability & Security Platform
Query and analyze Datadog logs, metrics, APM traces, and monitors using the Datadog API. Use when debugging production i...
Query logs, metrics, monitors, and dashboards from Datadog. Search logs, check alert status, and investigate incidents.
Query Datadog metrics, monitors, events, and logs via the REST API.
Install or set up from the source-backed instructions:
Monitors Datadog Service Level Objectives and burn rate alerts via the Datadog API v2. Generates SLO compliance reports...
Query and manage Datadog resources (logs, metrics, monitors, dashboards, incidents, APM traces) using the datadog-api-cl...
Troubleshoot Datadog API authentication issues (401/403 errors), understand API keys vs app keys, and configure correct...
Automatically detects Datadog resource mentions (URLs, service queries, natural language) and intelligently fetches cond...
Automate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events an...
Datadog CLI for searching logs, querying metrics, and tracing requests. Use when user mentions "Datadog", "DD logs", "pr...
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging pro...
Generate exhaustively complete and accurate Datadog Software Catalog entity YAML files (v3 schema) by examining project...
Work with Datadog Incidents API - fetch incidents with enrichment, update incident fields, understand incident data stru...
Search Datadog logs via API - query syntax, storage tiers (indexes, flex, online-archives), pagination. Use when searchi...
Datadog monitoring, APM, logs, and infrastructure observability
Track data flow between function parameters, calls, and arguments using taint analysis. Use when detecting vulnerabiliti...
通过静态分析代码片段，提取变量和模块之间的数据流转关系（Dataflow Edges）。
Systematic methodology for achieving 100% backward dataflow reachability in a new language. Create gauntlet fixture, wri...
Expertise in generating clean, correct, and efficient Dataform pipeline code for BigQuery ELT. Use this when creating or...
Use when developing BigQuery Dataform transformations, SQLX files, source declarations, or troubleshooting pipelines - e...
Query live SERP data from Google, Bing, and YouTube via DataForSEO. See exactly what search results look like right now...
Query DataForSEO for SEO + market-validation data — Google SERP rank checks, keyword search volume, keyword discovery (s...
Agent-callable DataForSEO tools — Google SERP results, keyword and domain analytics, backlinks, Google Maps business dat...
Run DataForSEO API tasks via the CLI in a shell (docs index, docs search, request). Use when the agent should execute te...
Best practices for polars data processing with dataframely. Covers definitions of Schema and Collection, usage of .valid...
Reviews SQL queries and DataFrame operations for optimization opportunities including predicate pushdown, partition prun...
Every DataGate telecom billing API resource - customers, agreements, invoices, sites, products, and more - plus a local...
Automate Datagma tasks via Rube MCP (Composio). Always search tools first for current schemas.
Add a calculated, formula-based column to a dataframe via the datagrok_exec tool. Use whenever the user asks to compute,...
Bioactivity and small-molecule data-side catalog. Covers ChEMBL search/lookup, MolTrack compound and batch registration,...
Cheminformatics toolkit catalog for small molecules. Covers RDKit/OpenChemLib calculations, descriptors, fingerprints, s...
Find, describe, add, remove, rename, clone, or set metadata on columns of a Datagrok DataFrame via the datagrok_exec too...
Call datagrok_show_entities after any MCP tool result that returns entity data (files, scripts, queries, connections, pr...
Use whenever you need the Datagrok browser to actually execute JavaScript — adding viewers, filtering, modifying the vie...
Filter rows of a Datagrok DataFrame via the datagrok_exec tool through the Filters panel — by range, equals/contains/in-...
Sort, hide, show, reorder, resize, pin, format, and color-code columns in a Datagrok TableView grid via the datagrok_exe...
Guide for logging errors, warnings, and info messages in Datagrok packages. Use when code needs error handling, user not...
Save, publish, create, attach to, or share a Datagrok project, including turning data sync on. The save and share flows...
Manipulate row selection (`df.selection`) on a Datagrok DataFrame via the datagrok_exec tool — set, clear, invert, add t...
Add a viewer, configure a viewer, change viewer options, find viewer, close viewer, view a scatter plot, bar chart, hist...
Convert documents (PDF, EPUB, PPTX, DOCX, XLSX, HTML, images) to Markdown using Datalab cloud API. Use when user wants t...
Retrieves, versions, and publishes scientific datasets with DataLad and git-annex, and captures computational provenance...
Retrieve, version, and publish scientific datasets with DataLad and git-annex, and capture computational provenance with...
Datalog bottom-up fixpoint iteration for recursive queries
Use this skill when the user wants Python data models, Pydantic models, dataclasses, TypedDicts, msgspec structs, or typ...
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery: SM...
Wrapper Pythônico ao redor do RDKit com interface simplificada e padrões sensatos. Preferido para descoberta de fármacos...
Pythonic wrapper around RDKit with simplified interface and sensible defaults. Preferred for standard drug discovery inc...
研究 codex 使用 skill 生成 survey 這件事
Builds a Canvas 2D datamosh loop in which fixed columns of flat saturated colour fall forever, each tile stretching open...
Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data t...
Use when the user invokes $datapro-search, mentions DataPro Search, or asks for a focused search of academic literature,...
Use this skill when a crash has been incorrectly classified as DOT-recordable when it shouldn't be. Covers the § 390.5 c...
Use this skill when the user asks about DataQ — FMCSA's data review system at dataqs.fmcsa.dot.gov — for disputing inspe...
Use this skill to evaluate which DataQ challenges have winning evidence and which don't. Covers documented vs anecdotal...
Use when the user wants to design, build, code, simulate, or deploy an AI agent (not a predictive model) to DataRobot; m...
Use when the user wants to design, build, code, or deploy an AI agent on DataRobot; mentions agent_spec.md, dress rehear...
Use when the user wants to adversarially test, evaluate, or harden an implemented AI agent before deployment; mentions s...
Use when the user wants to configure LLM integration for a DataRobot agent application. This skill helps to change LLM m...
Guidance for setting up CI/CD pipelines for DataRobot application templates using GitLab, GitHub Actions, and Pulumi for...
Automate Datarobot tasks via Rube MCP (Composio). Always search tools first for current schemas.
Query, explore, and update databases through existing DataRobot data connections (datastores) with the connection's stor...
Run SQL against a database through DataRobot with a JDBC URL (or host, port, and database) and credentials you supply; n...
Tools and guidance for data upload, dataset management, data validation, and preparing data for DataRobot projects. Use...
Use when the user wants to find DataRobot capabilities — skills, MCP servers, agents, or platform resources — for a task...
Instrument any external or existing AI agent with OpenTelemetry to send traces, logs, and metrics to DataRobot for monit...
Guidance for feature engineering, feature discovery, feature importance analysis, and understanding DataRobot's automate...
Use when the user wants to assess whether an AI agent repository (DataRobot-built or not) is enterprise-ready, run a gap...
Tools and guidance for deploying DataRobot models, managing deployments, configuring prediction environments, and deploy...
Tools and guidance for model explainability, prediction explanations, feature impact analysis, SHAP values, SHAP distrib...
Tools and guidance for monitoring model performance, tracking data drift, managing model health, and detecting predictio...
Comprehensive guidance for training models in DataRobot, including project creation, AutoML configuration, feature engin...
Tools and guidance for making predictions with DataRobot deployments, including real-time predictions, batch scoring, pr...
Use when the user wants to create, configure, scale, debug, observe, or roll out container workloads on DataRobot's Work...
Turn field artefacts into a labelled dataset and 20+ golden cases — the seed of the eval suite that gates the build. Att...
Compare two datasets to find differences, added/removed rows, changed values. Use for data validation, ETL verification,...
Use when the user wants to analyze dataset bias, create stratified samples, evaluate fairness, or plan dataset collectio...
Prepare, format, and validate datasets for supervised fine-tuning and preference training. Use when converting raw data...
Curate and clean training datasets for high-quality machine learning
Use this skill when designing, cleaning, deduplicating, or documenting datasets for model training and evaluation includ...
Document a dataset so others know what it is, how it was made, and when not to use it. Use when asked to write a datashe...
按唯一主键确定性比较两版行式数据，识别新增、删除、修改、未变化记录和字段级差异，适用于数据发布验收、回归核对和迁移结果检查。
Create, clean, and optimize datasets for LLM fine-tuning. Covers formats (Alpaca, ShareGPT, ChatML), synthetic data gene...
Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says "is...
Build the evidence pack that carries a designed stump. Covers scope, the input gates (10+ files, 3+ formats, a 25,000-ro...
Use this when the user wants to generate, normalize, verify, deduplicate, or export training datasets for Codex, Antigra...