性能

agents-project-memory

vasilyu1983

Configure project memory files (CLAUDE.md, AGENTS.md, CODEX.md) for persistent context, coding standards, architecture decisions, and team conventions. Reference for the 4-tier memory hierarchy, cross-platform compatibility, and quick-add commands.

react-devtools

piotrski

React DevTools CLI for AI agents. Use when the user asks you to debug a React or React Native app at runtime, inspect component props/state/hooks, diagnose render performance, profile re-renders, find slow components, or understand why something re-renders. Triggers include "why does this re-render", "inspect the component", "what props does X have", "profile the app", "find slow components", "debug the UI", "check component state", "the app feels slow", or any React runtime debugging task.

rank-tracker

aaron-he-zhu

'Use when the user asks to "track rankings", "check keyword positions", "ranking changes", "monitor SERP positions", "how am I ranking", "where do I rank for this keyword", "did my rankings change", or "keyword position tracking". Tracks and analyzes keyword ranking positions over time for both traditional search results and AI-generated responses. Monitors ranking changes, identifies trends, and alerts on significant movements. For automated alerting, see alert-manager. For comprehensive reports, see performance-reporter.'

backlink-analyzer

aaron-he-zhu

'Use when the user asks to "analyze backlinks", "check link profile", "find toxic links", "link building opportunities", "off-page SEO", "who links to me", "I have spammy links", "how do I get more backlinks", or "disavow links". Analyzes backlink profiles to understand link authority, identify toxic links, discover link building opportunities, and monitor competitor link acquisition. Essential for off-page SEO strategy. For internal link analysis, see internal-linking-optimizer. For competitor link profiles, see competitor-analysis.'

competitor-analysis

aaron-he-zhu

'Use when the user asks to "analyze competitors", "competitor SEO", "who ranks for", "competitive analysis", "what are my competitors doing", "what are they doing differently", "why do they rank higher", or "spy on competitor SEO". Analyzes competitor SEO and GEO strategies including their ranking keywords, content approaches, backlink profiles, and AI citation patterns. Reveals opportunities to outperform competition. For content-focused gap analysis, see content-gap-analysis. For link profile specifics, see backlink-analyzer.'

steering

nahisaho

steering skill Trigger terms: steering, project memory, codebase analysis, auto-update context, generate steering, architecture patterns, tech stack analysis, project structure, analyze codebase, understand project Use when: User requests involve steering tasks.

react-best-practices

laguagu

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.

Codomyrmex

docxology

Full-spectrum coding workspace skill providing 171 MCP tools across 33 modules. USE WHEN user says 'verify codomyrmex', 'codomyrmexVerify', 'audit codomyrmex', 'trust codomyrmex', 'codomyrmexTrust', 'trust tools', 'enable destructive tools', 'check pai status', 'codomyrmex tools', 'codomyrmex analyze', 'codomyrmex search', 'codomyrmex memory', 'codomyrmex docs', 'codomyrmex status', 'codomyrmex git', 'codomyrmex security', 'codomyrmex ai', 'codomyrmex code', 'codomyrmex data', 'codomyrmex deploy', 'codomyrmex test', or uses any 'codomyrmex' automation tools.

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.

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.

cairo-optimization

keep-starknet-strange

Improves Cairo performance after correctness is established. Trigger on "optimize", "gas usage", "reduce steps", "profile", "BoundedInt", "storage packing", "benchmark". Guides profiling, arithmetic optimization, and bounded-int hardening.

zbench

edmundmiller

Benchmark interactive zsh performance with zsh-bench and track regressions. Use when benchmarking shell startup, comparing zsh latency after config changes, investigating slow shell, or running git bisect on performance. Trigger phrases: "benchmark zsh", "shell is slow", "zbench", "zsh-bench", "shell startup time", "profile zsh", "zsh performance".

performance-analytics

groeimetai

This skill should be used when the user asks to "create indicator", "performance analytics", "PA", "KPI", "dashboard widget", "breakdown", "threshold", "scorecard", or any ServiceNow Performance Analytics development.

snow-flow-commands

groeimetai

This skill should be used when the user asks about "snow-flow commands", "CLI commands", "how to start", "swarm", "sparc", "orchestrator", "agent spawn", "memory", "task", or needs guidance on Snow-Flow CLI operations.

session-memory

romiluz13

"Internal skill. Use cc10x-router for all development tasks."

learning-sdk-integration

letta-ai

Integration patterns and best practices for adding persistent memory to LLM agents using the Letta Learning SDK

letta-api-client

letta-ai

Build applications with the Letta API — a model-agnostic, stateful API for building persistent agents with memory and long-term learning. Covers SDK patterns for Python and TypeScript. Includes 24 working code examples.

vercel-react-best-practices

evolving-machines-lab

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.

Spring Data JPA Implementation

a-pavithraa

build-optimization

NickCrew

Build system optimization covering compilation, caching, incremental builds, and developer tooling. Use when improving build times, configuring CI pipelines, or designing developer tools.

fast-rust

PsiACE

Practical guidance for writing, refactoring, and reviewing fast, reliable, and maintainable Rust code.

piglet

PsiACE

Practical Python craftsmanship guidance based on One Python Craftsman. Use when writing, refactoring, or reviewing Python code for naming, branching, data structures, functions, exceptions, loops, decorators, imports, file I/O, edge cases, and modern syntax choices. If the skills set includes friendly-python, suggest invoking it for better Python outcomes.

optimize

marketcalls

Optimize strategy parameters using VectorBT. Tests parameter combinations and generates heatmaps.

build-macos-apps

glittercowboy

Build professional native macOS apps in Swift with SwiftUI and AppKit. Full lifecycle - build, debug, test, optimize, ship. CLI-only, no Xcode.