Rendiment
Anàlisi i optimització del rendiment
code-review-facilitator
wedsamuel1230
Automated code review for Arduino/ESP32/RP2040 projects focusing on best practices, memory safety, and common pitfalls. Use when user wants code feedback, says "review my code", needs help improving code quality, or before finalizing a project. Generates actionable checklists and specific improvement suggestions.
vercel-react-best-practices
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
tursodatabase
How WAL mechanics, checkpointing, concurrency rules, recovery work in tursodb
memory-capture
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
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
databricks-solutions
Configure Databricks profile and authenticate for Databricks Connect, Databricks CLI, and Databricks SDK.
google-cloud-waf-cost-optimization
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
Mindrally
Guidelines for modern C++ development with C++17/20 standards, memory safety, and performance optimization
asc-signing-setup
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.
icp-builder
OpenClaudia
Define ideal customer profiles and buyer personas with structured frameworks. Use when the user asks about ideal customer profile, ICP, buyer persona, target audience definition, customer segmentation, customer research, user interviews, or persona creation. Trigger phrases include "ideal customer profile", "ICP", "buyer persona", "who is my customer", "target audience", "customer profile", "persona", "customer segmentation", "user research", "customer interview", "who should I target".
page-cro
OpenClaudia
Audit and optimize landing pages for conversion rate. Use when the user asks about conversion rate optimization, CRO, landing page audits, improving sign-ups or sales, reducing bounce rate, A/B test ideas for pages, form optimization, or CTA optimization. Trigger phrases include "conversion rate", "CRO", "landing page audit", "why isn't my page converting", "improve conversions", "optimize my page", "reduce bounce rate", "CTA optimization", "form optimization", "above the fold".
data-jupyter-python
Mindrally
Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
adjunction-algebra
plurigrid
"Adjunctions as universal arrows. Left ⊣ Right."
analytics-data-analysis
Mindrally
Implement analytics, data analysis, and visualization best practices using Python, Jupyter, and modern data tools.
autocannon
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
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
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
gadievron
This analysis is performed for defensive purposes, in a lab environment. Full permission has been provided.
r3f-best-practices
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
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
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
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
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
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'