Performance
Performance profiling and optimization
code-simplifier
by ArjenSchwarz
Review and simplify code to reduce complexity and improve maintainability
iterating-wechat-tech-posts
by alffei
Generates endings/CTAs, pre-publish editorial QA, sentence sharpening, and post-performance retrospectives for WeChat tech posts. Use when the user needs a strong ending, final edit pass, or analytics-driven iteration plan for tech/engineering WeChat公众号.
profiling
by chaterm
性能分析
system-admin
by chaterm
Linux system administration and monitoring
data-profiler
by majesticlabs-dev
Generate data profiles with column stats, correlations, and missing patterns for DataFrames. Use for EDA and data discovery.
pandas-coder
by majesticlabs-dev
DataFrame manipulation with chunked processing, memory optimization, and vectorized operations.
performance-profiling
by lv416e
"Use when investigating performance issues, before attempting any optimization - four-phase methodology (baseline measurement, bottleneck profiling, complexity analysis, targeted optimization) that ensures data-driven decisions over gut-feel tuning パフォーマンスの問題を調査する際、最適化を試みる前に使用 - 4フェーズ手法（ベースライン測定、ボトルネックプロファイリング、計算量分析、的を絞った最適化）により、直感的なチューニングではなくデータに基づく判断を保証"
supabase-postgres-best-practices
by oldwinter
Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or database configurations.
goodvibes-memory
by mgd34msu
"ALWAYS load before starting any task. Provides persistent cross-session memory for learning from past work. Read memory at task start to avoid repeating mistakes; write memory at task end to record what worked. Covers decisions.json (architectural choices), patterns.json (proven approaches), failures.json (past errors and fixes), preferences.json (project conventions), and session activity logs."
task-orchestration
by mgd34msu
"Load PROACTIVELY when decomposing a user request into parallel agent work. Use when user says \"build this\", \"implement this feature\", or any request requiring multiple agents working concurrently. Guides task decomposition into parallelizable units, agent assignment with skill matching, dependency graph construction, WRFC loop coordination across up to 6 concurrent agent chains, and result aggregation."
performance-audit
by mgd34msu
"Load PROACTIVELY when task involves optimizing speed, reducing bundle size, or improving responsiveness. Use when user says \"make it faster\", \"reduce bundle size\", \"fix slow queries\", \"optimize rendering\", or \"check Core Web Vitals\". Covers bundle analysis and tree-shaking, database query optimization (N+1, indexing), React rendering performance (re-renders, memoization), network waterfall optimization, memory leak detection, server-side performance, and Core Web Vitals (LCP, FID, CLS) improvement."
agent-memory-mcp
by ranbot-ai
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
prompt-engineering
by v1-io
Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
agent_memory
by ranbot-ai
Repository structure
langchain
by svngoku
Build AI agents with LangChain framework. Use when building agents, tools, memory, MCP integrations, RAG pipelines, multi-agent systems, or any LLM-powered applications using LangChain or LangGraph in Python or TypeScript.
kernel-auth
by kernel
Setup and manage Kernel authentication connections for any website (Gmail, GitHub, Outlook, or custom domains). Handles managed auth flows with automatic reauthentication support.
resume-updater
by Aznatkoiny
Conversational skill that interviews the user to capture professional experience and build/update their career-profile.json. Use when the user says "update my resume", "add my recent experience", "refresh my profile", "capture my work history", "build my resume", "add a new job to my resume", or wants to create or modify their professional profile data. When to Use: - User wants to add new experience, skills, projects, or achievements - User wants to create their career profile from scratch - User wants to update existing profile entries - User mentions they changed jobs, got promoted, or completed a project When NOT to Use: - User wants to generate/format a resume (use /resume-generator command) - User wants career advice (use career-director agent) - User wants to search for jobs (use job-search agent)
webflow-browser-api
by 224-Industries
Control Webflow Analyze and Optimize from JavaScript via the Browser API. Use when managing tracking consent, integrating CMPs (OneTrust, TrustArc), tracking experiment variations, setting custom visitor attributes, or personalizing user experiences.
cpp-reinforcement-learning
by Aznatkoiny
C++ Reinforcement Learning best practices using libtorch (PyTorch C++ frontend) and modern C++17/20. Use when: - Implementing RL algorithms in C++ for performance-critical applications - Building production RL systems with libtorch - Creating replay buffers and experience storage - Optimizing RL training with GPU acceleration - Deploying RL models with ONNX Runtime
langchain-use
by NanmiCoder
LangChain 1.0 使用指南。提供 Agent、Tool、Memory、Middleware 等核心概念的快速参考。当用户需要创建 AI Agent、集成 LangChain、或解决 LangChain 相关问题时激活。
personal:mole
by shiqkuangsan
"Mac 深度清理优化命令顾问。根据需求输出可复制的 mo 命令，辅助磁盘分析和配置管理。触发词：mole、mo、清理Mac、磁盘空间、系统优化、卸载App"
memory-contract
by groupzer0
Unified Memory Contract for Flowbaby integration. Defines when and how to retrieve and store memory. Load at session start - memory is core to agent reasoning, not optional.
ask-questions-if-underspecified
by lv416e
Clarify requirements before implementing. Use when serious doubts arise.
altinity-expert-clickhouse-memory
by Altinity
Diagnose ClickHouse RAM usage, OOM errors, memory pressure, and allocation patterns. Use for memory-related issues and out-of-memory errors.