全部能力

App Store Optimization (ASO) 工具包，用于研究关键词、分析竞争对手排名、生成元数据建议，以及提升应用在…上的可见性

Use this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. **Trigger when user asks to:** - Store or search vector embeddings in PostgreSQL - Set up semantic search, similarity search, or nearest neighbor search - Create HNSW or IVFFlat indexes for vectors - Implement RAG (Retrieval Augmented Generation) with PostgreSQL - Optimize pgvector performance, recall, or memory usage - Use binary quantization for large vector datasets **Keywords:** pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search Covers: halfvec storage, HNSW index configuration (m, ef_construction, ef_search), quantization strategies, filtered search, bulk loading, and performance tuning.

Use when auditing the codebase through the evaluation platform with mandatory research, coordinated domain audit workers, and structured summaries.

Creates complete project documentation system (project docs, reference, tasks, tests). Use when bootstrapping docs from scratch or regenerating all.

Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM…

Expert personal finance coach with deep knowledge of tax optimization, investment theory (MPT, factor investing), retirement mathematics (Trinity Study, SWR…

Neural pattern training with SONA (Self-Optimizing Neural Architecture), MoE (Mixture of Experts), and EWC++ for knowledge consolidation. Use when: pattern learning, model optimization, knowledge transfer, adaptive routing. Skip when: simple tasks, no learning required, one-off operations.

Analyzes and generates llms.txt files -- the emerging standard for helping AI systems understand website structure and content. Can validate existing llms.txt…

完整的应用商店优化（ASO）工具包，用于在 Apple App Store 和 Google Play Store 上研究、优化和跟踪移动应用表现

Executes all test suites and reports results with coverage. Use when verifying that test infrastructure works after bootstrap.

Guides embedding model migration in Qdrant without downtime. Use when someone asks 'how to switch embedding models', 'how to migrate vectors', 'how to update…

Guidance on how to upgrade your Qdrant version without interrupting the availability of your application and ensuring data integrity.

Discovers growth opportunities using Traffic-First KILL funnel. Use when searching for next product direction with validated demand.

Use when auditing the test surface through the evaluation platform with mandatory research, coordinated test audit workers, and structured summaries.

Decomposes scope into Epics, Stories, and RICE priorities. Use when user has project scope and wants full Agile breakdown.

Creates or replans 3-7 Epics from scope using Decompose-First pattern. Use when initiative needs Epic-level breakdown or Epic scope changed.

Creates implementation, refactoring, and test tasks from templates. Use when an approved task plan needs tasks created via the configured tracker provider and…

Compares ideal plan vs existing tasks and applies KEEP/UPDATE/OBSOLETE/CREATE changes. Use when Story tasks need re-sync with updated requirements.

Creates design_guidelines.md with WCAG 2.1 compliance and design system docs. Use when project has a frontend.

Audits E2E coverage for critical user-visible journeys and wasteful E2E tests. Use when reviewing E2E journey value.