productivity▌

Create alerts via Sentry's workflow engine API.

For straightforward questions about a single table:

Search and filter logs to support incident investigation. The workflow mirrors Kibana Discover: apply a time range and scope filter, then iteratively add exclusion filters (NOT) until a small, interesting subset of logs remains—either the root cause or the key document. Optionally view logs in context (preceding and following that document) or pivot to another entity and start a fresh search. Use ES|QL only (POST /_query); do not use Query DSL.

Type: L3 Worker Category: 7XX Project Bootstrap

Stable Baselines3 (SB3) is a PyTorch-based library providing reliable implementations of reinforcement learning algorithms. This skill provides comprehensive guidance for training RL agents, creating custom environments, implementing callbacks, and optimizing training workflows using SB3's unified API.

Search, look up, and call any of the 27,700+ Microsoft Graph APIs — all locally, no network calls needed. Use the three search commands to find the right endpoint, check permissions and parameters, then optionally execute calls directly or hand off to a Graph MCP server.

Dispatch superpowers:code-reviewer subagent to catch issues before they cascade.

用户输入 $ARGUMENTS

Philosophy: README 只是门面，真正的价值藏在 Issues、Commits 和社区讨论里。

TanStack Query (formerly React Query) is a powerful asynchronous state management library for React that handles server-state fetching, caching, synchronization, and updates. It eliminates the need for manual data fetching boilerplate and provides built-in features like background refetching, optimistic updates, pagination, and intelligent cache management.