ability-analysis
Trigger Pattern Always (Aptos Move) - foundational security check - Inject Into Breadth agents, depth agents
content-experimentation-best-practices
Content experimentation and A/B testing guidance covering experiment design, hypotheses, metrics, sample size, statistical foundations, CMS-managed variants, and common analysis pitfalls. Use this skill when planning experiments, setting up variants, choosing success metrics, interpreting statistical results, or building experimentation workflows in a CMS or frontend stack.
houtu-dependencies
houtu-dependencies enterprise-grade Spring Cloud microservice foundational framework complete usage guide. GroupId is io.github.lujiafa, covering unified response, exception handling, parameter parsing, session authentication, permission control, signature verification, anti-replay, distributed lock, rate limiting, database field encryption, config decryption, access logging, canary routing, weighted load balancing, Feign enhancement, Sentinel circuit breaking, service discovery, Swagger documentation, crypto utilities, HTTP client, monitoring metrics, and other enterprise-grade capabilities. When the project build file (pom.xml or build.gradle/build.gradle.kts) contains io.github.lujiafa or houtu-related dependencies, or when the user mentions houtu or houtu-dependencies, this Skill must be read and code must be generated strictly following framework conventions. Even if the user is simply doing regular Spring Boot development (e.g., writing Controller, Service, Feign), as long as the project includes houtu, the houtu approach must be used instead of native Spring. When the user explicitly wants to use the houtu framework and the project has not yet included it, proactively add the BOM and required Starters; when the project already includes it, proactively identify and import required module dependencies based on business scenarios during coding, naturally integrating framework capabilities to enhance business services based on business semantics, rather than waiting for the user to specify each one.
geo
GEO-first SEO analysis tool. Optimizes websites for AI-powered search engines (ChatGPT, Claude, Perplexity, Gemini, Google AI Overviews) while maintaining traditional SEO foundations. Performs full GEO audits, citability scoring, AI crawler analysis, llms.txt generation, brand mention scanning, platform-specific optimization, schema markup, technical SEO, content quality (E-E-A-T), and client-ready GEO report generation. Use when user says "geo", "seo", "audit", "AI search", "AI visibility", "optimize", "citability", "llms.txt", "schema", "brand mentions", "GEO report", or any URL for analysis.
appshot-core
Foundation skill for Appshot. Defines the Remotion project architecture, primitives library, config schema, device presets, and store requirements. Owns the shared extraction phase used by appshot-videos and appshot-images.
cupertino
This skill should be used when working with Apple APIs, iOS/macOS/visionOS development, or Swift language questions. Covers searching Apple developer documentation, looking up SwiftUI views, finding UIKit APIs, reading Apple docs, browsing Swift Evolution proposals, checking Human Interface Guidelines, and exploring Apple sample code. Supports 300+ frameworks including SwiftUI, UIKit, Foundation, and Combine via offline search of 300,000+ documentation pages.
category-master
Expert-level category theory knowledge for rigorous mathematical reasoning. Use when working with categorical structures, functors, natural transformations, adjunctions, limits, toposes, monoidal categories, enriched categories, higher categories, operads, or any formal categorical construction. Ideal for proofs, diagram chases, universal properties, coherence conditions, and foundational mathematical abstractions.
react-native-ai-skills
Provides integration recipes for the React Native AI @react-native-ai packages that wrap the Llama.rn (Llama.cpp), MLC-LLM, Apple Foundation backends. Use when integrating local on-device AI in React Native, setting up providers, model management.
Agent Review Panel v3.4.0
A multi-agent adversarial review system based on nine research foundations: ChatEval (ICLR 2024), AutoGen, Du et al. (ICML 2024), MachineSoM (ACL 2024), DebateLLM, DMAD (ICLR 2025), "Talk Isn't Always Cheap" (ICML 2025), CONSENSAGENT (ACL 2025), Trust or Escalate (ICLR 2025 Oral).
writers-room-story-engine
Orchestrates modular story development by diagnosing the current phase and routing to the right story skill for foundations, worldbuilding, scene writing, or revision. Use when building a story from scratch, improving an outline, strengthening narrative structure, or guiding story development in staged workflows.
Study materials, code examples, and practice scenarios for Anthropic's Claude Certified Architect: Foundations (CCA-F) certification exam. Covers all five exam domains: agentic architecture, MCP integration, Claude Code workflows, prompt engineering, and context management.
anycap-ai-tool-seo
Guide for planning and auditing SEO for AI tool, SaaS, and product-led websites. Powered by AnyCap -- the capability runtime that equips AI agents with web search and web crawl through a single CLI. Use when Codex needs to define SEO ICPs, map search intent to page types, inspect live SERPs, write page briefs for tool/comparison/alternatives/pricing/tutorial pages, prioritize technical SEO foundations, plan citations or backlinks, or decide whether programmatic SEO is safe and worthwhile. Trigger on mentions of AI tool SEO, SaaS SEO, product-led SEO, search intent, page type mapping, vs pages, alternatives pages, pricing pages, directory submissions, backlink plans, citations, or pSEO.
Mcp Krs Poland
Polish National government's registry of all businesses, foundations, and other legal entities.
faf-expert
Expert in .faf (Foundational AI-context Format) files for persistent project context. Use when working with .faf files, project DNA, CLAUDE.md bi-sync, faf-cli commands, MCP server configuration, or AI-readiness scoring (0-100%). Updated for v2.8.0 Tool Visibility System.