Results for “query-plan”

Compare, cross-review, and merge competing plans from multiple agents into one executable direction with a clear handoff.

启动一个新的规划流程，创建新的规划文件。

Plan auction events with items and bidding. TRIGGERS - Use when user needs help with auction-plan related tasks.

Relational modelling lets you defer query design: normalize the entities, and

Use this when the system needs queue-backed processing design, message handling rules, delivery semantics, dead-letter strategy, or throughput planning. Trigger on requests about queues, brokers, message processing, and consumer coordination.

Write a focused test plan that scopes what will be tested, ranks risks, enumerates cases, and sets explicit entry and exit criteria.

Optimize Qdrant vector search performance through indexing strategies, query tuning, memory management, and hardware considerations.

Plan a sprint by estimating team capacity, selecting and sequencing stories, and identifying risks.

Shape or refine the existing bead or caller intent without creating a second planning artifact. Triggers: "plan", "discover and plan", "shape this goal".

Design reading plans with retention strategies. TRIGGERS - Use when user needs help with reading-plan related tasks.

CEO/founder-mode plan review. Rethink the problem, find the 10-star product, challenge premises, expand scope when it creates a better product. Four modes: SCOPE EXPANSION (dream big), SELECTIVE EXPANSION (hold scope + cherry-pick expansions), HOLD SCOPE (maximum rigor), SCOPE REDUCTION (strip to essentials). Use when asked to "think bigger", "expand scope", "strategy review", "rethink this", or "is this ambitious enough". Proactively suggest when the user is questioning scope or ambition of a plan, or when the plan feels like it could be thinking bigger. (gstack)

ES|QL Query Skill

Plan auction events with items and bidding. TRIGGERS - Use when user needs help with auction-plan related tasks.

Optimizes database queries and improves performance across PostgreSQL and MySQL systems by analyzing execution plans, designing index strategies, and tuning configurations.

Explains MariaDB-specific EXPLAIN and ANALYZE syntax, including FORMAT=JSON, SHOW EXPLAIN/ANALYZE FOR, and the standalone ANALYZE statement that executes queries.