技能列表

Bi-directional sync and management for Notion pages and databases. Use when working with Notion workspaces for collaborative editing, research tracking, project management, or when you need to sync markdown files to/from Notion pages or monitor Notion pages for changes.

End-to-end LoRA training pipeline: reference photo collection → face verification → dataset scraping → quality check → WD14 captioning → RunPod training. Use this skill whenever a user asks to build a training dataset, collect photos for a LoRA, or train a LoRA model.

Backup and restore ClawdBot configuration, skills, commands, and settings. Sync across devices, version control with git, automate backups, and migrate to new machines.

Create and edit Tally forms via API. Use when building surveys, feedback forms, or questionnaires programmatically. Supports all question types including text inputs, multiple choice, checkboxes, ratings (via workaround), and more.

|

Send messages, reply to messages, and search message history in Discord channels using the message tool. Use when the user wants to communicate with Discord (send/reply/search messages), check Discord activity, or interact with Discord channels.

Meta-skill for the Longevity OS bundle that routes natural language health conversations to the right capability — nutrition logging, health profile, pattern discovery, experiments, news, or daily coaching.

Auto-retry failed cron jobs on connection recovery. Use when cron jobs fail due to network errors and should be retried when connectivity is restored. Integrates with heartbeat to detect failed jobs and re-run them automatically.

长桥交易助手。通过 longport Python SDK 帮助用户查询实时行情、K线、盘口，提交/修改/撤销订单，查看账户余额和持仓。当用户提到股票行情、买入、卖出、下单、持仓、账户余额、订单、K线、盘口、成交记录、现金流等与证券交易相关的操作时，必须使用此 skill。即使用户只是随口问「AAPL 多少钱」或「我账户里还有多少钱」也应触发。

Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.

>

Book dog-walker services through Lokuli MCP. Use when user needs to find and book dog-walker. Triggers on requests like "book a dog-walker", "find dog-walker near me", or any dog-walker service request.