通过 CLI 查询 Datadata — 运行临时 SQL、检查数据源元数据、列表和描述表、下载 NDJSON/CSV 格式结果。当用户提到 Datadata、想查询数据、探索数据源或表 schema、获取查询结果时使用此 skill。触发：Datadata、数据探索、SQL查询、表检查、执行结果。
为 Datadata 平台编写 DQL 数据处理脚本 — 基于 Starlark 的扩展脚本语言，支持 DataFrame/Series 操作、SQL 查询、HTTP 请求等。当用户需要编写数据转换、数据清洗、数据生成或自定义数据处理逻辑时使用此 skill。
Dataddo integration. Manage data, records, and automate workflows. Use when the user wants to interact with Dataddo data.
Query logs, metrics, monitors, and dashboards from Datadog. Search logs, check alert status, and investigate incidents.
Analyze Datadog error logs for Packmind production services (api-proprietary, mcp-proprietary, frontend-proprietary), group them into patterns, root-cause against the codebase,…
Routes Datadog anomaly detection alerts to appropriate response channels using the Datadog Events API v2 and Monitors API.
Monitors Datadog metric streams using the Datadog API v2 and applies ML-based anomaly detection to alert on infrastructure drift.
Leverages the Datadog API v2 metrics and events endpoints to detect anomalous patterns. Uses the Datadog Monitors API to create dynamic thresholds and sends escalations via…
Detects performance anomalies in Datadog APM traces using the Datadog API v2 metrics endpoint. Applies DBSCAN clustering on latency distributions to identify outlier service…
Queries Datadog APM trace data via the Datadog Tracing API v2 to identify latency bottlenecks and error hotspots.
Queries distributed traces from Datadog APM using the Trace Search API with faceted filtering. Analyzes p99 latency breakdowns across service spans and identifies slow database…
Troubleshoot Datadog API authentication issues (401/403 errors), understand API keys vs app keys, and configure correct regions.
Automatically detects Datadog resource mentions (URLs, service queries, natural language) and intelligently fetches condensed context via datadog-analyzer subagent when needed for…
Automate Datadog tasks via Rube MCP (Composio): query metrics, search logs, manage monitors/dashboards, create events and downtimes. Always search tools first for current schemas.
Use when tasks require datadog data importer with credential-aware preflight, deterministic execution, validation gates, and handoff-ready artifacts.
Fetches an active Datadog incident, retrieves associated monitors and dashboards, pulls the last 30 minutes of metric data, and walks through a runbook checklist with automated…
Work with Datadog Incidents API - fetch incidents with enrichment, update incident fields, understand incident data structures.
Interpret datadog-inspector findings and translate Datadog monitoring, audit, log-retention, SSO, and RBAC results into GRC evidence and remediation.
Connects applications to Datadog monitoring using the Datadog API v2 for metrics submission, log forwarding, APM trace ingestion, and dashboard JSON template management.
Search Datadog logs via API - query syntax, storage tiers (indexes, flex, online-archives), pagination. Use when searching logs or using the dd search-logs command.
Exports custom metrics and traces to Datadog using the DogStatsD protocol and Datadog API v2. Supports histogram aggregation, tag-based filtering, and SLO tracking.
Creates and manages Datadog monitors using the datadog-api-client SDK. Configures metric, log, APM trace, and composite monitors with proper threshold types and notification…
Manages Datadog monitors and dashboards via the Datadog REST API v2. Creates metric, log, and APM monitors with composite conditions and configures notification routing through…
Design Datadog monitors that catch real production issues without paging on noise. Covers SLO-based monitoring with multi-window multi-burn-rate alerts, the decision between…
Manages Datadog monitors and dashboards via the Datadog API v2. Lists triggered monitors, mutes/unmutes alert groups, and queries metric timeseries.
Monitors Datadog Service Level Objectives and burn rate alerts via the Datadog API v2. Generates SLO compliance reports and triggers remediation workflows when error budgets are…
Investigates broken checks with the Datadog Synthetics API, Monitors API, and Logs Search API to connect failed browser or API tests with the signals that explain them.
Automates alert triage using the Datadog Monitors API v2 and Notebooks API. Correlates metrics with traces via the Datadog APM Trace Search API and generates RCA timelines from…
Create, update, delete, and manage Fabric Dataflows Gen2 artifacts with Power Query M mashup definitions via CLI (az rest / curl).
Kompleksowy helper do projektów Dataform i modelowania danych GA4/BigQuery w repozytorium Wipecoding
DataForSEO integration. Manage Organizations, Leads, Projects, Users, Goals, Filters. Use when the user wants to interact with DataForSEO data.
Use when you are implementing a new MsBackend subclass and need to store spectra metadata (sample names, retention times, precursor m/z, etc.) separately from peak data (m/z and…
Use when when implementing a new MsBackend subclass that stores only a subset of core spectra variables (e.
Use when when designing or optimizing an MsBackend implementation (or similar columnar data structure) you must decide whether to pre-allocate all known columns in the backing…
Use when when building a scientific visualization library that must support multiple plotting backends and needs to avoid backend-specific code duplication.
Use to transform tabular data — pandas, polars, DuckDB, Parquet/Arrow; dtypes, joins, big files.
Reviews SQL queries and DataFrame operations for optimization opportunities including predicate pushdown, partition pruning, column projection, and join ordering.
Datagma integration. Manage Organizations. Use when the user wants to interact with Datagma data.
Automate Datagma tasks via Rube MCP (Composio). Always search tools first for current schemas. — from general/automation
Consulta de processos judiciais brasileiros via API Pública do CNJ/DataJud: metadados, movimentações e busca por classe/órgão/assunto.
Consulta de processos judiciais brasileiros via API Pública do CNJ/DataJud: metadados, movimentações e busca por classe/órgão/assunto.
Convert documents (PDF, EPUB, PPTX, DOCX, XLSX, HTML, images) to Markdown using Datalab cloud API. Use when user wants to use Datalab API for document conversion, or prefers…
Analyzes the downstream impact (blast radius) when a BigQuery table or view is broken, stale, or modified.
Summarizes Google Cloud Data Lineage graphs to help users debug data quality issues and understand data provenance for BQ/GCS.
Datamolino integration. Manage data, records, and automate workflows. Use when the user wants to interact with Datamolino data.
Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or…
Datananas integration. Manage data, records, and automate workflows. Use when the user wants to interact with Datananas data.
Build professional financial services data packs from various sources including CIMs, offering memorandums, SEC filings, web search, or MCP servers.
Use when designing or reviewing OmniStudio DataRaptors, especially Extract versus Turbo Extract versus Transform versus Load, field mapping strategy, performance tradeoffs, and…
Use when DataRaptor Transform operations are slow, hit governor limits, or use Apex where formula fields would suffice.
Datarobot integration. Manage Projects, Users. Use when the user wants to interact with Datarobot data.
Automate Datarobot tasks via Rube MCP (Composio). Always search tools first for current schemas. — from general/automation
Tools and guidance for data upload, dataset management, data validation, and preparing data for DataRobot projects.
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 monitoring, observability, and governance.
Tools and guidance for model explainability, prediction explanations, feature impact analysis, SHAP values, SHAP distributions, anomaly assessment, and model diagnostics.
Tools and guidance for monitoring model performance, tracking data drift, managing model health, and detecting prediction anomalies.
Comprehensive guidance for training models in DataRobot, including project creation, AutoML configuration, feature engineering, and model selection.
DataScope integration. Manage Organizations. Use when the user wants to interact with DataScope data.
Construction et curation de datasets pour l'entraînement ML (nettoyage, augmentation, annotation, split) — from general/general-misc