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bun-development

Modern JavaScript/TypeScript development with Bun runtime. Covers package management, bundling, testing, and migration from Node.js. Use when working with Bun, optimizing JS/TS development speed, or migrating from Node.js to Bun.

xfstudio
xfstudio
4

Cloud Penetration Testing

This skill should be used when the user asks to "perform cloud penetration testing", "assess Azure or AWS or GCP security", "enumerate cloud resources", "exploit cloud misconfigurations", "test O365 security", "extract secrets from cloud environments", or "audit cloud infrastructure". It provides comprehensive techniques for security assessment across major cloud platforms.

zebbern
zebbern
4

cloud-architect

Expert cloud architect specializing in AWS/Azure/GCP multi-cloud

xfstudio
xfstudio
4

clerk-auth

Expert patterns for Clerk auth implementation, middleware, organizations, webhooks, and user sync Use when: adding authentication, clerk auth, user authentication, sign in, sign up.

xfstudio
xfstudio
4

clean-code

Pragmatic coding standards - concise, direct, no over-engineering, no unnecessary comments

xfstudio
xfstudio
4

claude-win11-speckit-update-skill

Windows 11 system management

xfstudio
xfstudio
4

claude-speed-reader

-Speed read Claude's responses at 600+ WPM using RSVP with Spritz-style ORP highlighting

xfstudio
xfstudio
4

claude-scientific-skills

Scientific research and analysis skills

xfstudio
xfstudio
4

d3-viz

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

xfstudio
xfstudio
4

Claude Code Guide

Master guide for using Claude Code effectively. Includes configuration templates, prompting strategies "Thinking" keywords, debugging techniques, and best practices for interacting with the agent.

xfstudio
xfstudio
4

claude-ally-health

A health assistant skill for medical information analysis, symptom tracking, and wellness guidance.

xfstudio
xfstudio
4

clarity-gate

Pre-ingestion verification for epistemic quality in RAG systems with 9-point verification and Two-Round HITL workflow

xfstudio
xfstudio
4

ciphey

Automatic decryption and decoding tool using AI. Use when user says "解密", "decrypt", "decode", "crack", "破解密码", or provides encrypted/encoded text that needs to be deciphered. Supports 50+ encryption types including Base64, Caesar, Vigenere, XOR, Morse code, binary, hashes, and more.

xfstudio
xfstudio
4

backend-security-coder

Expert in secure backend coding practices specializing in input

xfstudio
xfstudio
4

agent-evaluation

Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.

xfstudio
xfstudio
4

agent-manager-skill

Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.

xfstudio
xfstudio
4

agent-memory-mcp

A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).

xfstudio
xfstudio
4

agent-memory-systems

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-term (context window), long-term (vector stores), and the cognitive architectures that organize them. Key insight: Memory isn't just storage - it's retrieval. A million stored facts mean nothing if you can't find the right one. Chunking, embedding, and retrieval strategies determine whether your agent remembers or forgets. The field is fragm

xfstudio
xfstudio
4

agent-orchestration-improve-agent

Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.

xfstudio
xfstudio
4

agent-orchestration-multi-agent-optimize

Optimize multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.

xfstudio
xfstudio
4

agent-tool-builder

Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools. Key insight: Tool descriptions are more important than tool implementa

xfstudio
xfstudio
4

ai-agents-architect

Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling.

xfstudio
xfstudio
4

ai-engineer

Build production-ready LLM applications, advanced RAG systems, and

xfstudio
xfstudio
4

ai-product

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.

xfstudio
xfstudio
4

ai-wrapper-product

Expert in building products that wrap AI APIs (OpenAI, Anthropic, etc.) into focused tools people will pay for. Not just 'ChatGPT but different' - products that solve specific problems with AI. Covers prompt engineering for products, cost management, rate limiting, and building defensible AI businesses. Use when: AI wrapper, GPT product, AI tool, wrap AI, AI SaaS.

xfstudio
xfstudio
4

airflow-dag-patterns

Build production Apache Airflow DAGs with best practices for operators, sensors, testing, and deployment. Use when creating data pipelines, orchestrating workflows, or scheduling batch jobs.

xfstudio
xfstudio
4

algolia-search

Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning Use when: adding search to, algolia, instantsearch, search api, search functionality.

xfstudio
xfstudio
4

algorithmic-art

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

xfstudio
xfstudio
4

analytics-tracking

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xfstudio
xfstudio
4

angular-best-practices

Angular performance optimization and best practices guide. Use when writing, reviewing, or refactoring Angular code for optimal performance, bundle size, and rendering efficiency.

xfstudio
xfstudio
4

bash-pro

Master of defensive Bash scripting for production automation, CI/CD

xfstudio
xfstudio
4

artifacts-builder

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

xfstudio
xfstudio
4

async-python-patterns

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

xfstudio
xfstudio
4

attack-tree-construction

Build comprehensive attack trees to visualize threat paths. Use when mapping attack scenarios, identifying defense gaps, or communicating security risks to stakeholders.

xfstudio
xfstudio
4

auth-implementation-patterns

Master authentication and authorization patterns including JWT, OAuth2, session management, and RBAC to build secure, scalable access control systems. Use when implementing auth systems, securing APIs, or debugging security issues.

xfstudio
xfstudio
4

automate-whatsapp

Build WhatsApp automations with Kapso workflows: configure WhatsApp triggers, edit workflow graphs, manage executions, deploy functions, and use databases/integrations for state. Use when automating WhatsApp conversations and event handling.

xfstudio
xfstudio
4

autonomous-agent-patterns

Design patterns for building autonomous coding agents. Covers tool integration, permission systems, browser automation, and human-in-the-loop workflows. Use when building AI agents, designing tool APIs, implementing permission systems, or creating autonomous coding assistants.

xfstudio
xfstudio
4

autonomous-agents

Autonomous agents are AI systems that can independently decompose goals, plan actions, execute tools, and self-correct without constant human guidance. The challenge isn't making them capable - it's making them reliable. Every extra decision multiplies failure probability. This skill covers agent loops (ReAct, Plan-Execute), goal decomposition, reflection patterns, and production reliability. Key insight: compounding error rates kill autonomous agents. A 95% success rate per step drops to 60% b

xfstudio
xfstudio
4

avalonia-layout-zafiro

Guidelines for modern Avalonia UI layout using Zafiro.Avalonia, emphasizing shared styles, generic components, and avoiding XAML redundancy.

xfstudio
xfstudio
4

avalonia-viewmodels-zafiro

Optimal ViewModel and Wizard creation patterns for Avalonia using Zafiro and ReactiveUI.

xfstudio
xfstudio
4

avalonia-zafiro-development

Mandatory skills, conventions, and behavioral rules for Avalonia UI development using the Zafiro toolkit.

xfstudio
xfstudio
4

AWS Penetration Testing

This skill should be used when the user asks to "pentest AWS", "test AWS security", "enumerate IAM", "exploit cloud infrastructure", "AWS privilege escalation", "S3 bucket testing", "metadata SSRF", "Lambda exploitation", or needs guidance on Amazon Web Services security assessment.

zebbern
zebbern
4

aws-serverless

Specialized skill for building production-ready serverless applications on AWS. Covers Lambda functions, API Gateway, DynamoDB, SQS/SNS event-driven patterns, SAM/CDK deployment, and cold start optimization.

xfstudio
xfstudio
4

aws-skills

AWS development with infrastructure automation and cloud architecture patterns

xfstudio
xfstudio
4

azure-functions

Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models. Use when: azure function, azure functions, durable functions, azure serverless, function app.

xfstudio
xfstudio
4

backend-architect

Expert backend architect specializing in scalable API design,

xfstudio
xfstudio
4

backend-development-feature-development

Orchestrate end-to-end backend feature development from requirements to deployment. Use when coordinating multi-phase feature delivery across teams and services.

xfstudio
xfstudio
4

arm-cortex-expert

>

xfstudio
xfstudio
4

effect-ts-guide

Teach and apply Effect-TS practices (effect, @effect/schema, @effect/platform) for architecture, typed errors, Layers, dependency injection, resource safety, testing, and migration from async/await/Promise. Use when a user asks how to use Effect, requests best practices, wants to refactor to Effect, or needs mapping from platform modules to Node/Bun/Browser APIs.

provercoderai
provercoderai
42

effect-ts

Effect-TS (Effect) guidance for TypeScript. Use when building, refactoring, reviewing, or explaining Effect code, especially for: typed error modeling (expected errors vs defects), Context/Layer/Effect.Service dependency wiring, Scope/resource lifecycles, runtime execution boundaries, schema-based decoding, concurrency/scheduling/streams, @effect/platform APIs, Effect AI workflows, and Promise/async migration.

teeverc
teeverc
41

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Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.