midnight-proofsproof-caching
Use when caching ZK proofs for performance, implementing proof cache invalidation, storing verification results, caching intermediate proof components, or building distributed proof caches with Redis.
asgard-cache
Asgard 缓存模块 skill。Use when configuring or using Asgard caching, including CacheConfig, memory cache, Redis cache, multi-level cache behavior, cache access through AbsAsgardContext, cache keys, expiration, and cache-related graceful degradation.
elasticsearch-best-practices
Elasticsearch development best practices for indexing, querying, mapping, and search optimization. Use this skill when designing indices, writing queries, configuring analyzers, or optimizing Elasticsearch cluster performance.
backend-coding-standards
Index for NestJS backend skills. Use when working in backend/. Load the specific sub-skill for your task.
qdrant-search
Semantic search over Qdrant Cloud collections using the Python client. Covers vector search, filtered search, prefetch+RRF fusion, group API, recommend API, discovery API, batch queries, scroll, and payload indexing. Use when building search features, adding new query types, or working with qdrant-client.
firestore-index-sync
Detect and fix drift between documented and actual Firestore indexes
database
Universal database operations skill for modern applications. Expert in SQLModel/SQLAlchemy patterns, async database operations, connection pooling, migrations, performance optimization, and multi-database support (PostgreSQL, MySQL, SQLite). Provides production-ready patterns for any database-driven application.
go-mongodb
MongoDB patterns in Go. Official driver, proper indexes, same struct for bson+json. Use for database code.
database-designer-skill
Design data storage strategy, schema/collection models, and database technology choices based on architecture/backend artifacts. Use when selecting SQL vs NoSQL and defining data structures, indexes, and lifecycle policies.
azure-resource-manager-redis-dotnet
Azure Resource Manager SDK for Redis in .NET.
fc-optimize-mongodb
Analyze the MongoDB usage in these repositories, identify all the CRUD queries that are made to MongoDB in both projects, and propose optimizations.
security-storage
Audit React Native storage, local persistence, logs, backups, and sensitive-data exposure against MASVS storage controls.
redis-review
Review Redis data structures, persistence, memory, clustering, and patterns for performance and reliability
elasticsearch-review
Review Elasticsearch mappings, queries, index configuration, and cluster health
knowledge-db
ナレッジDB（GitHub リポジトリ EraX-1/knowledge_db）に知識を蓄積・整理するためのスキル。ユーザーが「ナレッジDBに蓄積して」「ナレッジに記録して」「知識ベースに追加して」「ナレッジDBに書き込んで」「学んだことを記録して」などと言ったときに使用する。会話中に得られた技術的知見、トラブルシュートの結果、新しい手法の発見などを構造化してリポジトリに保存する。
quarkus-patterns
Quarkus patterns: CDI, @ConfigMapping, Panache Repository, RESTEasy Reactive, native build constraints, and @RegisterForReflection.
databases
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queries and aggregations, optimizing indexes for performance, performing database migrations, configuring replication and sharding, implementing backup and restore strategies, managing database users and permissions, analyzing query performance, or administering production databases.
caching-strategist
Use this skill whenever the user mentions caching, cache, Redis, Upstash, cache invalidation, stale data, stale-while-revalidate, ISR strategy, CDN caching, edge caching, cache warming, cache stampede, thundering herd, 'data is stale', 'cache is wrong', 'when to cache', cache-control headers, TTL, cache busting, multi-layer cache, 'my data is outdated', or ANY caching strategy/design task — even if they don't explicitly say 'cache'. This skill designs coherent caching strategies across all layers.
firestore-database
Use this skill when the user asks about "Firestore", "database queries", "indexes", "batch operations", "pagination", "TTL", "write limits", or any Firestore-related work. Provides Firestore query optimization, indexing, and best practices.
