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On-chain intelligence for DOG•GO•TO•THE•MOON rune — forensic analysis, LTH vs STH metrics, multi-chain whale tracking, multi-exchange markets, cross-chain data, and airdrop analytics powered by DOG DATA's Bitcoin full node.
通过Eureka专利数据平台获取专利标题和摘要的翻译版本。当用户要求专利摘要翻译、专利标题翻译、翻译后的专利摘要、其他语言的专利内容、中文/英文/日文的专利摘要，或需要通过专利ID或公开号查询特定专利的摘要、标题、Eureka专利摘要、patent abstract translation, patent title translation, Eureka patent, patent translation, abstract lookup时触发此技能。当用户提到Eureka或专利摘要查询时也应触发，即使未明确说"翻译"。
Agentic Wallet exclusive trading competitions. Full lifecycle: discover → view rules → join → trade → check rank → claim reward. Triggers: 'list trading competitions', 'show available competitions', 'view competition details', 'show competition rules', 'show prize pool', 'register for competition', 'join trading contest', 'check my competition status', 'view leaderboard', 'check my ranking', 'claim competition reward', 'did I win', 'winners list', 'show registered wallet', 'export wallet'. Do NOT use for: general DEX swaps (use okx-dex-swap); portfolio / PnL queries outside a competition (use okx-wallet-portfolio or okx-dex-market); wallet login or tx history (use okx-agentic-wallet); any non-competition trading activity. Do NOT use when the user says only a single word like 'competition', 'rank', or 'claim' without naming a specific competition.
FinancialForce integration. Manage data, records, and automate workflows. Use when the user wants to interact with FinancialForce data.
Design GCP architectures for startups and enterprises. Use when asked to design Google Cloud infrastructure, deploy to GKE or Cloud Run, configure BigQuery pipelines, optimize GCP costs, or migrate to GCP. Covers Cloud Run, GKE, Cloud Functions, Cloud SQL, BigQuery, and cost optimization.
Designs and builds ETL/ELT data pipelines. Takes data sources, destination, transformation requirements. Generates pipeline code (Python/SQL), scheduling config, error handling, monitoring setup, and data quality checks. Outputs data-pipeline-spec.md + implementation files.
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.
Send and receive SMS/MMS, handle opt-outs and delivery webhooks. Use for notifications, 2FA, or messaging apps.
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Excel配置检查工具，用于验证Excel文件数据是否符合YAML规则定义。使用场景：当用户提出“检查配置”“验证Excel”“检查规则”“执行检查”“验证数据”等需求时；当用户需要更新规则文件、修改验证规则、添加新的检查规则时；当用户询问如何配置规则、如何实现某类验证、如何使用算子时；该工具可覆盖Excel数据验证、字段关联检查、跨表引用验证、格式校验等需求。重要约束：若需求无法通过现有规则实现，必须列出原因。禁止修改validate.py或src/目录下的检测脚本。无法通过规则实现的情况包括：需要新增算子类型、需要修改核心引擎逻辑、需要自定义代码逻辑等。
Read event data from a Google Sheets spreadsheet and create Google Calendar entries for each row.
Manage serverless Redis, Kafka, and QStash on Upstash