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everything-claude-code

github.com/haniakrim21/everything-claude-code

Skill

Added

Review

altoviz-automation

Automate Altoviz tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

alpha-vantage-automation

Automate Alpha Vantage tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

all-images-ai-automation

Automate All Images AI tasks via Rube MCP (Composio). Always search tools first for current schemas.

51%

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.

65%

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.

61%

algolia-automation

Automate Algolia tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

algodocs-automation

Automate Algodocs tasks via Rube MCP (Composio). Always search tools first for current schemas.

62%

alchemy-automation

Automate Alchemy tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

aivoov-automation

Automate Aivoov tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

airtable-automation

Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.

69%

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.

60%

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.

82%

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.

37%

ai-ml-api-automation

Automate AI ML API tasks via Rube MCP (Composio). Always search tools first for current schemas.

60%

ai-engineer

Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.

55%

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.

63%

Ahrefs Automation

Automate SEO research with Ahrefs -- analyze backlink profiles, research keywords, track domain metrics history, audit organic rankings, and perform batch URL analysis through the Composio Ahrefs integration.

17%

agility-cms-automation

Automate Agility CMS tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

agiled-automation

Automate Agiled tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

agenty-automation

Automate Agenty tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

agents-v2-py

Build container-based Foundry Agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating hosted agents that run custom code in Azure AI Foundry with your own container images. Triggers: "ImageBasedHostedAgentDefinition", "hosted agent", "container agent", "Foundry Agent", "create_version", "ProtocolVersionRecord", "AgentProtocol.RESPONSES", "custom agent image".

79%

agentql-automation

Automate Agentql tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

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

37%

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.

55%

agent-orchestration-improve-agent

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

60%

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

26%

agent-memory-mcp

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

63%

agent-manager-skill

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

80%

agent-mail-automation

Automate Agent Mail tasks via Rube MCP (Composio). Always search tools first for current schemas.

87%

agent-framework-azure-ai-py

Build Azure AI Foundry agents using the Microsoft Agent Framework Python SDK (agent-framework-azure-ai). Use when creating persistent agents with AzureAIAgentsProvider, using hosted tools (code interpreter, file search, web search), integrating MCP servers, managing conversation threads, or implementing streaming responses. Covers function tools, structured outputs, and multi-tool agents.

93%

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.

62%

agencyzoom-automation

Automate Agencyzoom tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

affinity-automation

Automate Affinity tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

affinda-automation

Automate Affinda tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

aeroleads-automation

Automate Aeroleads tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

aero-workflow-automation

Automate Aero Workflow tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

adyntel-automation

Automate Adyntel tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

adrapid-automation

Automate Adrapid tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

adobe-automation

Automate Adobe tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

addresszen-automation

Automate Addresszen tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

address-github-comments

Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.

78%

activecampaign-automation

Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.

71%

Active Directory Attacks

This skill should be used when the user asks to "attack Active Directory", "exploit AD", "Kerberoasting", "DCSync", "pass-the-hash", "BloodHound enumeration", "Golden Ticket", "Silver Ticket", "AS-REP roasting", "NTLM relay", or needs guidance on Windows domain penetration testing.

18%

active-campaign-automation

Automate ActiveCampaign tasks via Rube MCP (Composio). Always search tools first for current schemas.

87%

acculynx-automation

Automate Acculynx tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

accredible-certificates-automation

Automate Accredible Certificates tasks via Rube MCP (Composio). Always search tools first for current schemas.

60%

accessibility-wcag

Web accessibility patterns for WCAG 2.2 compliance including ARIA, keyboard navigation, screen readers, and testing

76%

accessibility-compliance

Implement WCAG 2.2 compliant interfaces with mobile accessibility, inclusive design patterns, and assistive technology support. Use when auditing accessibility, implementing ARIA patterns, building for screen readers, or ensuring inclusive user experiences.

83%

accessibility-compliance-accessibility-audit

You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct audits, identify barriers, and provide remediation guidance.

58%

accelo-automation

Automate Accelo tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

abyssale-automation

Automate Abyssale tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

abuselpdb-automation

Automate Abuselpdb tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

abstract-automation

Automate Abstract tasks via Rube MCP (Composio). Always search tools first for current schemas.

60%

ably-automation

Automate Ably tasks via Rube MCP (Composio). Always search tools first for current schemas.

67%

ab-test-setup

Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness.

60%

3d-web-experience

Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing depth to web experiences. Use when: 3D website, three.js, WebGL, react three fiber, 3D experience.

82%

tdd-workflow

Use this skill when writing new features, fixing bugs, or refactoring code. Enforces test-driven development with 80%+ coverage including unit, integration, and E2E tests.

75%

strategic-compact

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

51%

security-review

Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.

75%

postgres-patterns

PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.

69%

iterative-retrieval

Pattern for progressively refining context retrieval to solve the subagent context problem

60%

golang-testing

Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices.

70%

golang-patterns

Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.

57%

frontend-patterns

Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices.

57%

eval-harness

Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles

56%

continuous-learning

Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.

72%

continuous-learning-v2

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.

46%

coding-standards

Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.

57%

clickhouse-io

ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.

58%

backend-patterns

Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.

55%

tdd-workflow

在编写新功能、修复错误或重构代码时使用此技能。强制执行测试驱动开发,包含单元测试、集成测试和端到端测试,覆盖率超过80%。

73%

strategic-compact

建议在逻辑间隔处进行手动上下文压缩,以在任务阶段中保留上下文,而非任意的自动压缩。

55%

springboot-tdd

使用JUnit 5、Mockito、MockMvc、Testcontainers和JaCoCo进行Spring Boot的测试驱动开发。适用于添加功能、修复错误或重构时。

82%

springboot-security

Java Spring Boot 服务中关于身份验证/授权、验证、CSRF、密钥、标头、速率限制和依赖安全的 Spring Security 最佳实践。

74%

springboot-patterns

Spring Boot 架构模式、REST API 设计、分层服务、数据访问、缓存、异步处理和日志记录。适用于 Java Spring Boot 后端工作。

74%

security-review

Use this skill when adding authentication, handling user input, working with secrets, creating API endpoints, or implementing payment/sensitive features. Provides comprehensive security checklist and patterns.

83%

python-testing

使用pytest、TDD方法、夹具、模拟、参数化和覆盖率要求的Python测试策略。

67%

python-patterns

Pythonic 惯用法、PEP 8 标准、类型提示以及构建健壮、高效、可维护的 Python 应用程序的最佳实践。

61%

postgres-patterns

基于Supabase最佳实践的PostgreSQL数据库模式,用于查询优化、架构设计、索引和安全。

72%

jpa-patterns

Spring Boot中的JPA/Hibernate实体设计、关系、查询优化、事务、审计、索引、分页和连接池模式。

74%

iterative-retrieval

用于逐步优化上下文检索以解决子代理上下文问题的模式

60%

golang-testing

Go测试模式包括表格驱动测试、子测试、基准测试、模糊测试和测试覆盖率。遵循TDD方法论,采用地道的Go实践。

67%

golang-patterns

构建稳健、高效且可维护的Go应用程序的惯用Go模式、最佳实践和约定。

57%

frontend-patterns

React、Next.js、状态管理、性能优化和UI最佳实践的前端开发模式。

57%

eval-harness

克劳德代码会话的正式评估框架,实施评估驱动开发(EDD)原则

51%

django-tdd

Django测试策略,包括pytest-django、TDD方法论、factory_boy、模拟、覆盖率以及测试Django REST Framework API。

66%

django-security

Django安全最佳实践,身份验证,授权,CSRF保护,SQL注入预防,XSS预防和安全部署配置。

66%

django-patterns

Django架构模式、使用DRF的REST API设计、ORM最佳实践、缓存、信号、中间件以及生产级Django应用程序。

61%

continuous-learning

自动从Claude Code会话中提取可重用模式,并将其保存为学习技能供未来使用。

60%

continuous-learning-v2

基于本能的学习系统,通过钩子观察会话,创建具有置信度评分的原子本能,并将其演化为技能/命令/代理。

56%

coding-standards

适用于TypeScript、JavaScript、React和Node.js开发的通用编码标准、最佳实践和模式。

61%

clickhouse-io

ClickHouse数据库模式、查询优化、分析和数据工程最佳实践,适用于高性能分析工作负载。

72%

backend-patterns

后端架构模式、API设计、数据库优化以及针对Node.js、Express和Next.js API路由的服务器端最佳实践。

61%