agent

设计高效的 KPI 仪表盘，涵盖指标选择、可视化最佳实践和实时监控模式。在构建……时使用此技能

通过关键词、合约地址或链查询代币详情。搜索代币，获取元数据与社交链接，检索实时市场数据（价格、价格趋势、交易量、持币者、流动性），并获取 K 线图。当用户搜索代币、查看代币价格、浏览市场数据或请求 K 线图时，请使用此技能。

管理此项目的发布。校验更新日志，安装 git 钩子，并进行发布。当用户说“/release”、“release 1.0.5”、“cut a release”等时使用。

Smart Money analytics on OKX: leaderboard traders, position tracking, trade records, closed-position history, aggregated consensus signals, and signal history.…

Skill for using Paperclip — open-source orchestration platform for running autonomous AI-agent companies with org charts, budgets, governance, and heartbeats.

Run database migrations in Medusa

当用户询问实时体育比分、排名、球队统计数据、比赛摘要（包括技术统计、最佳球员、得分详情、赔率和胜…

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.

Salesforce Data Cloud Retrieve phase. TRIGGER when: user runs Data Cloud SQL, describe, async queries, vector search, search-index workflows, or metadata introspection for Data Cloud objects. DO NOT TRIGGER when: the task is standard CRM SOQL (use sf-soql), segment creation or calculated insight design (use sf-datacloud-segment), or STDM/session tracing/parquet analysis (use sf-ai-agentforce-observability).

Salesforce Data Cloud Segment phase. TRIGGER when: user creates or publishes segments, manages calculated insights, inspects segment counts or membership, or troubleshoots audience SQL in Data Cloud. DO NOT TRIGGER when: the task is DMO/mapping/identity-resolution work (use sf-datacloud-harmonize), activation work (use sf-datacloud-act), query/search-index work (use sf-datacloud-retrieve), or STDM/session tracing (use sf-ai-agentforce-observability).

MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues…

使用 inlets 和 outlets 为 Airflow 任务添加数据血缘注解。适用于用户希望为任务添加血缘元数据、指定输入/输出数据集，或…

AI coding agent skill for building with EmDash, the full-stack TypeScript CMS built on Astro and Cloudflare

为重大架构变更创建新的架构决策记录（ADR）文档，使用一致的模板和基于仓库的命名规范…

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In-process ClickHouse SQL engine for Python — run ClickHouse SQL queries directly on local files, remote databases, and cloud storage without a server. Use when the user wants to write SQL queries against Parquet/CSV/ JSON files, use ClickHouse table functions (mysql(), s3(), postgresql(), iceberg(), deltaLake() etc.), build stateful analytical pipelines with Session, use parametrized queries, window functions, or other advanced ClickHouse SQL features. Also use when the user explicitly mentions chdb.query(), ClickHouse SQL syntax, or wants cross-source SQL joins. Do NOT use for pandas-style DataFrame operations — use chdb-datastore instead.

Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog…

Query Developer Experience (DX) data via the DX Data MCP server PostgreSQL database. Use this skill when analyzing developer productivity metrics, team…

Database schema design, optimization, and migration patterns for PostgreSQL, MySQL, and NoSQL databases. Use for designing schemas, writing migrations, or…

Expert data analysis covering SQL querying, data visualization, statistical analysis, business reporting, and data storytelling. Use when writing SQL queries, building dashboards, performing cohort or funnel analysis, running hypothesis tests, or presenting data-driven recommendations to stakeholders.