Performance
Performance profiling and optimization
vercel-react-best-practices
by Arize-ai
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
transaction-correctness
by tursodatabase
How WAL mechanics, checkpointing, concurrency rules, recovery work in tursodb
memory-capture
by Factory-AI
Capture and organize memories, decisions, and learnings to a memories.md file. Use when you want to save context for future sessions.
front-end-checklist
by fabricioctelles
This skill should be used when a developer or team needs to review, validate, or audit front-end code before launching a website or HTML page to production. Triggers on requests such as "run the front-end checklist", "validate my front-end", "check my site before launch", or when the user asks for a structured review of HTML, CSS, JavaScript, accessibility, performance, security, or design quality.
databricks-config
by databricks-solutions
Configure Databricks profile and authenticate for Databricks Connect, Databricks CLI, and Databricks SDK.
google-cloud-waf-cost-optimization
by google
Generates cost optimization guidance for Google Cloud workloads based on the Google Cloud Well-Architected Framework (WAF). Use this skill to evaluate a workload, identify cost requirements and constraints, and provide actionable recommendations for build, deploy, and manage the workload cost-efficiently in Google Cloud.
cpp
by Mindrally
Guidelines for modern C++ development with C++17/20 standards, memory safety, and performance optimization
asc-signing-setup
by rudrankriyam
Set up bundle IDs, capabilities, signing certificates, and provisioning profiles with the asc cli. Use when onboarding a new app or rotating signing assets.
data-jupyter-python
by Mindrally
Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
adjunction-algebra
by plurigrid
"Adjunctions as universal arrows. Left ⊣ Right."
analytics-data-analysis
by Mindrally
Implement analytics, data analysis, and visualization best practices using Python, Jupyter, and modern data tools.
autocannon
by TerminalSkills
Benchmark HTTP APIs with Autocannon. Use when a user asks to load test an API, measure request throughput, find performance bottlenecks, benchmark API endpoints, or compare server configurations.
api-load-tester
by TerminalSkills
Generates and executes load test scripts for APIs using k6, wrk, or autocannon. Creates realistic test scenarios from OpenAPI specs, route files, or endpoint descriptions. Use when someone needs to load test, stress test, benchmark, or find the breaking point of their API. Trigger words: load test, stress test, benchmark, RPS, concurrent users, breaking point, performance test, k6, wrk.
agent-memory
by TerminalSkills
Add persistent memory to AI coding agents — file-based, vector, and semantic search memory systems that survive between sessions. Use when a user asks to "remember this", "add memory to my agent", "persist context between sessions", "build a knowledge base for my agent", "set up agent memory", or "make my AI remember things". Covers file-based memory (MEMORY.md), SQLite with embeddings, vector databases (ChromaDB, Pinecone), semantic search, memory consolidation, and automatic context injection.
Exploitability Validation Skill
by gadievron
This analysis is performed for defensive purposes, in a lab environment. Full permission has been provided.
r3f-best-practices
by emalorenzo
React Three Fiber (R3F) and Poimandres ecosystem best practices. Use when writing, reviewing, or optimizing R3F code. Triggers on tasks involving @react-three/fiber, @react-three/drei, zustand, @react-three/postprocessing, @react-three/rapier, or leva.
gpu-kernel-optimizer
by alibaba
End-to-end GPU kernel implementation and optimization router. Use this skill to turn PyTorch logic into a high-performance kernel or to systematically optimize an existing kernel. It initializes the local knowledge base, identifies the current phase, and routes work to baseline implementation, bottleneck analysis, and profile-driven optimization sub-skills.
autoresearch
by github
'Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy''s autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.'
chrome-devtools
by github
'Expert-level browser automation, debugging, and performance analysis using Chrome DevTools MCP. Use for interacting with web pages, capturing screenshots, analyzing network traffic, and profiling performance.'
fabric-lakehouse
by github
'Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices.'
cosmosdb-datamodeling
by github
'Step-by-step guide for capturing key application requirements for NoSQL use-case and produce Azure Cosmos DB Data NoSQL Model design using best practices and common patterns, artifacts_produced: "cosmosdb_requirements.md" file and "cosmosdb_data_model.md" file'
unsafe-checker
by actionbook
"CRITICAL: Use for unsafe Rust code review and FFI. Triggers on: unsafe, raw pointer, FFI, extern, transmute, *mut, *const, union, #[repr(C)], libc, std::ffi, MaybeUninit, NonNull, SAFETY comment, soundness, undefined behavior, UB, safe wrapper, memory layout, bindgen, cbindgen, CString, CStr, 安全抽象, 裸指针, 外部函数接口, 内存布局, 不安全代码, FFI 绑定, 未定义行为"
domain-ml
by actionbook
"Use when building ML/AI apps in Rust. Keywords: machine learning, ML, AI, tensor, model, inference, neural network, deep learning, training, prediction, ndarray, tch-rs, burn, candle, 机器学习, 人工智能, 模型推理"
numerai-experiment-design
by numerai
Design and manage Numerai experiments in this repo for any model idea.