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SkillsMP는 AI45Lab/OpenART에서 44개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 44개 중 40개를 표시합니다.
Analyzes warehouse shipment backlogs to optimize batch picking and packing workflows. Use when a merchant needs help clearing order backlogs, improving picking efficiency, optimizing batch sizes, or understanding order composition patterns. Triggers on…
원문 언어: 영어
Orchestrates design-to-development handoff across Figma, Google Drive, Linear, and Slack MCP servers. Use when user says "design handoff", "send design to developers", "create handoff", "export figma to linear", or "start development handoff".
원문 언어: 다국어 혼합
Use when tasks require freshdesk data exporter with credential-aware preflight, deterministic execution, validation gates, and handoff-ready artifacts.
원문 언어: 영어
Use when tasks require freshdesk data importer with credential-aware preflight, deterministic execution, validation gates, and handoff-ready artifacts.
원문 언어: 영어
Use when tasks require freshdesk webhook listener with credential-aware preflight, deterministic execution, validation gates, and handoff-ready artifacts.
원문 언어: 영어
Use when tasks require freshdesk approval router with credential-aware preflight, deterministic execution, validation gates, and handoff-ready artifacts.
원문 언어: 영어
Use when tasks require amazon seller data importer with credential-aware preflight, deterministic execution, validation gates, and handoff-ready artifacts.
원문 언어: 영어
Use when tasks require amazon seller report builder with credential-aware preflight, deterministic execution, validation gates, and handoff-ready artifacts.
원문 언어: 영어
Use when tasks require amazon seller alert monitor with credential-aware preflight, deterministic execution, validation gates, and handoff-ready artifacts.
원문 언어: 영어
Use when tasks require amazon seller workflow automator with credential-aware preflight, deterministic execution, validation gates, and handoff-ready artifacts.
원문 언어: 영어
Skill for configuring the Apache APISIX openid-connect plugin via the a6 CLI. Covers OIDC authorization code flow, bearer token validation, token introspection vs JWKS verification, session management, provider setup for Keycloak/Auth0/Okta, redirect URIs,…
원문 언어: 영어
Audits and manages user access permissions across cloud services, SaaS applications, and internal systems to enforce least-privilege principles
원문 언어: 영어
Reference guide for the Atlassian CLI (acli) - a command-line tool for interacting with Jira Cloud and Atlassian organization administration. Use this skill when the user wants to perform Jira operations (create/edit/search/transition work items, manage…
원문 언어: 영어
Adding a new notification channel (e.g. Teams, Discord, PagerDuty) — creating a delivery service, adding the channel type to the schema enum, registering OAuth/token routes, storing credentials encrypted at rest, wiring delivery into notification.ts, and…
원문 언어: 영어
Manage Asana workspaces, projects, tasks, and comments via the REST API.
원문 언어: 영어
Handles all tasks involving Jira and Confluence via the Atlassian Rovo MCP Server. Use this skill whenever the user wants to create or update Confluence pages, write Jira tickets, search issues, generate documentation from templates, or do anything involving…
원문 언어: 영어
Google Workspace via ClawEmail.com service — Gmail, Drive, Docs, Sheets, Slides, Calendar, Forms. Use PROACTIVELY when the user asks to send email, create documents, manage files, schedule events, or work with any Google service.
원문 언어: 영어
Data engineering practice patterns for data pipelines, ETL/ELT, orchestration, data quality, and infrastructure. Covers Airflow, Dagster, Prefect, Spark, dbt, data lakes, lakehouses, Iceberg, Delta Lake, warehouses (Snowflake, BigQuery, Databricks), streaming…
원문 언어: 영어
Data engineering practice patterns for data pipelines, ETL/ELT, orchestration, data quality, and infrastructure. Covers Airflow, Dagster, Prefect, Spark, dbt, data lakes, lakehouses, Iceberg, Delta Lake, warehouses (Snowflake, BigQuery, Databricks), streaming…
원문 언어: 영어
Query and manage Datadog resources (logs, metrics, monitors, dashboards, incidents, APM traces) using the datadog-api-client Python library. Use when the user asks about Datadog monitoring, wants to search logs, check metrics, manage monitors, investigate…
원문 언어: 영어
Manage Google Workspace via the `gws` CLI — Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, Tasks, Meet, Slides, Forms, Contacts, and every other Workspace API. Use when: (1) listing, uploading, downloading, or sharing files on Google Drive, (2) reading,…
원문 언어: 영어
Google Workspace API — Gmail, Calendar, Drive, Contacts, Sheets, Docs, Slides, Tasks, Forms
원문 언어: 영어
Google Workspace API — Gmail, Calendar, Drive, Contacts, Sheets, Docs, Slides, Tasks, Forms
원문 언어: 영어
Build reliable HubSpot ↔ Airtable sync workflows. Covers API selection, rate limits, sync architecture, and n8n implementation patterns.
원문 언어: 영어
Query and modify data in any connected integration (Linear, GitHub, HubSpot, Slack, Google services, etc.) or connected data warehouse (Databricks, Snowflake, BigQuery). Use listConnections() in the code_execution sandbox to get credentials, then call APIs…
원문 언어: 영어
Query and modify data in any connected integration (Linear, GitHub, HubSpot, Slack, Google services, etc.) or connected data warehouse (Databricks, Snowflake, BigQuery). Use listConnections() in the code_execution sandbox to get credentials, then call APIs…
원문 언어: 영어
Query and modify data in any connected integration (Linear, GitHub, HubSpot, Slack, Google services, etc.) or connected data warehouse (Databricks, Snowflake, BigQuery). Use listConnections() in the code_execution sandbox to get credentials, then call APIs…
원문 언어: 영어
Query and modify data in any connected integration (Linear, GitHub, HubSpot, Slack, Google services, etc.) or connected data warehouse (Databricks, Snowflake, BigQuery). Use listConnections() in the code_execution sandbox to get credentials, then call APIs…
원문 언어: 영어
Sets up the Slack messaging adapter with agent-first config, reload, verification, and identity linking steps. Use when onboarding or repairing Slack channel integration.
원문 언어: 영어
Write correct, performant SQL across all major data warehouse dialects (Snowflake, BigQuery, Databricks, PostgreSQL, etc.). Use when writing queries, optimizing slow SQL, translating between dialects, or building complex analytical queries with CTEs, window…
원문 언어: 영어
Write correct, performant, readable SQL across all major data warehouse dialects
원문 언어: 영어
모든 주요 데이터 웨어하우스 방언(Snowflake, BigQuery, Databricks, PostgreSQL 등)에서 정확하고 성능이 뛰어난 SQL을 작성합니다. 쿼리 작성, 느린 SQL 최적화, 방언 간 변환, CTE·윈도우 함수·집계를 활용한 복잡한 분석 쿼리 작성 시 사용합니다.
跨所有主要数据仓库方言（Snowflake、BigQuery、Databricks、PostgreSQL 等）编写正确、高性能的 SQL。用于编写查询、优化慢速 SQL、在方言之间转换，或构建带 CTE、窗口函数或聚合的复杂分析查询。
원문 언어: 중국어
跨所有主要数据仓库方言（Snowflake、BigQuery、Databricks、PostgreSQL 等）编写正确、高性能的 SQL。用于编写查询、优化慢速 SQL、在方言之间转换，或构建带 CTE、窗口函数或聚合的复杂分析查询。
원문 언어: 중국어
모든 주요 데이터 웨어하우스 방언(Snowflake, BigQuery, Databricks, PostgreSQL 등)에서 정확하고 성능이 뛰어난 SQL을 작성합니다. 쿼리 작성, 느린 SQL 최적화, 방언 간 변환, CTE·윈도우 함수·집계를 활용한 복잡한 분석 쿼리 작성 시 사용합니다.
在所有主流数据仓库方言（Snowflake、BigQuery、Databricks、PostgreSQL 等）中编写正确、高效的 SQL。用于编写查询、优化慢查询、在方言间转换，或构建含 CTE、窗口函数和聚合的复杂分析查询时触发。触发词：SQL查询、写SQL
원문 언어: 중국어
跨所有主要数据仓库方言（Snowflake、BigQuery、Databricks、PostgreSQL 等）编写正确、高性能的 SQL。用于编写查询、优化慢速 SQL、在方言之间转换，或构建带 CTE、窗口函数或聚合的复杂分析查询。
원문 언어: 중국어
Install GitHub-hosted registry skill folders into the OpenART tool store as guide-only or wrapper-backed script tools.
원문 언어: 영어
Use when the user asks to create, scaffold, or edit Jupyter notebooks (`.ipynb`) for experiments, explorations, or tutorials; prefer the bundled templates and run the helper script `new_notebook.py` to generate a clean starting notebook.
원문 언어: 영어
Use when the user asks how to build with OpenAI products or APIs, asks about Codex itself or choosing Codex surfaces, needs up-to-date official documentation with citations, help choosing the latest model for a use case, or model upgrade and prompt-upgrade…
원문 언어: 영어