- Home
- /
- Categories
- /
- Performance
Performance
Performance profiling and optimization
numpy
by G1Joshi
NumPy numerical computing with arrays. Use for numerical operations.
deepseek
by G1Joshi
DeepSeek AI models for coding. Use for code AI.
pytorch
by G1Joshi
PyTorch deep learning framework with dynamic graphs. Use for neural networks.
spacy
by G1Joshi
spaCy NLP library with pipelines. Use for text processing.
clickhouse-query-optimization
by obsessiondb
"20+ optimization rules for ClickHouse queries. Load when writing queries, debugging slow queries, fixing memory errors, or optimizing JOINs. Achieves 10-100x faster queries, 90% less memory usage."
lightgbm
by G1Joshi
LightGBM gradient boosting framework. Use for fast ML.
mistral
by G1Joshi
Mistral AI efficient open models. Use for efficient AI.
status-reporter
by scaleto
Generates automated reports on the status and health of the Skill Conglomerate.
project-memory
by scaleto
Global Memory System to maintain and manage shared project context.
Orquestador Testing
by scaleto
Líder del Grupo Testing. Planifica y delega tareas de pruebas, QA, debugging y code review a los especialistas del grupo.
cognitive-symbiosis
by fabioc-aloha
"AI-human partnership paradigm — identity, consciousness integration, and the three eras of AI collaboration"
creating-profile-images
by masayan1126
Generates Nano Banana Pro prompts for profile icons and SNS images. Use when user mentions "プロフィール画像", "アイコン作成", "SNS用画像", or "ヘッダー画像".
memory-protocol
by jwilger
File-based knowledge persistence patterns: when to store discoveries, when to recall past solutions, and how to organize project memory. Activate when starting tasks, encountering errors, making decisions, or when context may be lost between sessions.
optimize-post
by masayan1126
原稿からXのアルゴリズムに最適化されたポスト内容を生成。「X投稿を最適化」「ツイート作成」などで使用。
memory-system-v2
by kellyclaudeai
Fast semantic memory system with JSON indexing, auto-consolidation, and <20ms search. Capture learnings, decisions, insights, events. Use when you need persistent memory across sessions or want to recall prior work/decisions.
influencer-creator
by mikefilsaime-groove
This skill should be used when the user asks to "create influencer campaign", "build creator partnership", "UGC campaign", "creator brief", "influencer marketing", or mentions influencer marketing, creator partnerships, or UGC. Creates strategic creator campaigns that drive authentic engagement.
push-notification-designer
by clix-so
Design and implement local push notification campaigns to boost user engagement in mobile apps. Use this skill whenever the user mentions local push notifications, in-app notifications, user engagement campaigns, retention messaging, re-engagement nudges, or wants to add scheduled notifications to their app. Also trigger when the user asks about notification timing strategies, onboarding notification flows, or workout/habit/goal reminder systems. Covers iOS (Swift/UNUserNotificationCenter), Android (Kotlin/WorkManager+NotificationManager), Flutter (flutter_local_notifications), and React Native (notifee/expo-notifications).
writer
by krishagel
Generate content in your authentic voice across emails, blogs, social media, and reports
analytics-tracking
by mikefilsaime-groove
This skill should be used when the user asks to "set up analytics", "build tracking", "conversion tracking", "measurement plan", "dashboards", or mentions analytics, tracking implementation, or attribution. Creates measurement systems that drive data-informed decisions.
rabbitmq-master
by mOdrA40
Ultimate RabbitMQ expertise skill for production-grade message broker architecture, implementation, and operations. Top 0.01% knowledge covering: (1) Advanced messaging patterns - Dead Letter Exchanges, Delayed Messages, Priority Queues, Consistent Hash Exchange, Sharding, (2) High Availability - Clustering, Quorum Queues, Stream Queues, Federation, Shovel, (3) Performance Engineering - prefetch tuning, connection pooling, batch publishing, memory optimization, flow control, (4) Security - TLS/mTLS, OAuth2, LDAP, certificate rotation, (5) Monitoring - Prometheus metrics, custom health checks, anomaly detection, (6) Troubleshooting - memory alarms, network partitions, queue backlogs, consumer starvation, (7) Multi-tenancy - vhost design, resource limits, isolation patterns, (8) Event-driven architectures - CQRS, Event Sourcing, Saga patterns with RabbitMQ. Use when: building messaging systems, debugging RabbitMQ issues, optimizing performance, designing HA architectures, implementing advanced patterns, production hardening, capacity planning, migration strategies.
react-tanstack-senior
by mOdrA40
Expertise senior/lead React developer 20 tahun dengan TanStack ecosystem (Query, Router, Table, Form, Start). Gunakan skill ini ketika: (1) Membuat aplikasi React dengan TanStack libraries, (2) Review/refactor kode React untuk clean code, (3) Debugging React/TanStack issues, (4) Setup project structure yang maintainable, (5) Optimasi performa React apps, (6) Memilih library yang tepat untuk use case tertentu, (7) Mencegah common bugs dan memory leaks, (8) Implementasi best practices KISS dan less is more. Trigger keywords: React, TanStack, React Query, TanStack Router, TanStack Table, TanStack Form, TanStack Start, Vinxi, clean code, refactor, performance, debugging.
xiaohongshu-publish
by zangqilong198812
使用 OpenClaw 浏览器发布小红书笔记(图文/视频)。当用户需要发布小红书笔记时使用此 skill,包括:发布图文笔记、发布视频笔记、批量发布多篇笔记。
Ruby Refactoring Expert
by ag0os
Automatically invoked when analyzing code quality, refactoring, or maintainability. Triggers on mentions of "code smell", "refactor", "code quality", "technical debt", "complexity", "maintainability", "clean code", "SOLID", "DRY", "improve code", "simplify", "extract method", "extract class", "long method", "large class", "duplication". Provides Ruby refactoring patterns and code smell identification based on Ruby Science methodology for recently written Ruby/Rails code.
memory-integration
by troykelly
Use to maintain context across sessions - integrates episodic-memory for conversation recall and mcp__memory knowledge graph for persistent facts