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Found 26 Skills
MongoDB and PostgreSQL database administration. Databases: MongoDB (document store, aggregation, Atlas), PostgreSQL (relational, SQL, psql). Capabilities: schema design, query optimization, indexing, migrations, replication, sharding, backup/restore, user management, performance analysis. Actions: design, query, optimize, migrate, backup, restore, index, shard databases. Keywords: MongoDB, PostgreSQL, SQL, NoSQL, BSON, aggregation pipeline, Atlas, psql, pgAdmin, schema design, index, query optimization, EXPLAIN, replication, sharding, backup, restore, migration, ORM, Prisma, Mongoose, connection pooling, transactions, ACID. Use when: designing database schemas, writing complex queries, optimizing query performance, creating indexes, performing migrations, setting up replication, implementing backup strategies, managing database permissions, troubleshooting slow queries.
Database sharding for PostgreSQL/MySQL with hash/range/directory strategies. Use for horizontal scaling, multi-tenant isolation, billions of records, or encountering wrong shard keys, hotspots, cross-shard transactions, rebalancing issues.
AIWorkflowOrchestratorの正本仕様を `references/` から検索・参照・更新するスキル。 resource-map / quick-reference / topic-map / keywords を起点に、必要最小限の文書だけを段階的に読む。 用途: 要件確認、設計/API/IPC契約確認、UI/状態管理/セキュリティ判断、task-workflow・lessons-learned・未タスク同期。 特に safeInvoke timeout、settings bypass、skill lifecycle、global nav、Skill Center / Workspace / Agent / Skill Creator の導線再編を扱う。 Anchors: • Specification-Driven Development / 適用: 正本仕様同期 / 目的: 実装-仕様整合の維持 • Progressive Disclosure / 適用: resource-map起点読込 / 目的: 必要最小限参照で漏れ防止 Trigger: 仕様確認, 仕様更新, task-workflow同期, lessons-learned同期, UI仕様反映, API/IPC契約確認, セキュリティ要件確認, safeInvoke, timeout, settings bypass, skill lifecycle, Skill Center, Workspace, Agent, Skill Creator, navContract, GlobalNavStrip, MobileNavBar, SkillManagementPanel, line budget reform, spec splitting, family split, generated index sharding
Use this skill when designing distributed systems, architecting scalable services, preparing for system design interviews, or making infrastructure decisions. Triggers on load balancing, CAP theorem, sharding, replication, caching strategies, message queues, microservices architecture, database selection, rate limiting, and any task requiring high-level system architecture decisions.
Implement database sharding for horizontal scalability. Use when scaling large databases, distributing data across multiple servers, or designing sharded architectures.
Guidance for implementing tensor parallelism in PyTorch, including ColumnParallelLinear and RowParallelLinear layers. This skill should be used when implementing distributed tensor parallel operations, sharding linear layers across multiple GPUs, or simulating collective operations like all-gather and all-reduce for parallel computation.
Multi-agent distributed context preservation protocol using cryptographic sharding, gossip propagation, and Byzantine fault tolerance to maintain coherent shared memory across dynamic agent networks.
Guide for implementing MongoDB - a document database platform with CRUD operations, aggregation pipelines, indexing, replication, sharding, search capabilities, and comprehensive security. Use when working with MongoDB databases, designing schemas, writing queries, optimizing performance, configuring deployments (Atlas/self-managed/Kubernetes), implementing security, or integrating with applications through 15+ official drivers. (project)
Optimizes GitHub Actions CI/CD workflows through test sharding, intelligent caching, and workflow parallelization. Use when CI execution time exceeds limits, costs are too high, or workflows need parallelization.
Optimize Playwright E2E tests by removing anti-patterns, implementing smart waits, enabling test sharding, and improving reliability.
Senior End-to-End (E2E) Test Architect for 2026. Specialized in Playwright orchestration, visual regression testing, and high-performance CI/CD sharding. Expert in building resilient, auto-waiting test suites using the Page Object Model (POM), automated accessibility auditing (Axe-core), and deep-trace forensic debugging.
CI/CD: GitHub Actions workflows, parallel sharding, flaky quarantine, junit XML/Allure, coverage gates