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. | 71 5.80x Agent success vs baseline Impact 87% 5.80xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
alpha-vantage-automation Automate Alpha Vantage tasks via Rube MCP (Composio). Always search tools first for current schemas. | 72 3.57x Agent success vs baseline Impact 93% 3.57xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
all-images-ai-automation Automate All Images AI tasks via Rube MCP (Composio). Always search tools first for current schemas. | 60 10.00x Agent success vs baseline Impact 100% 10.00xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
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. | 78 1.66x Agent success vs baseline Impact 95% 1.66xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
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. | 72 1.40x Agent success vs baseline Impact 97% 1.40xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
algolia-automation Automate Algolia tasks via Rube MCP (Composio). Always search tools first for current schemas. | 73 6.18x Agent success vs baseline Impact 99% 6.18xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
algodocs-automation Automate Algodocs tasks via Rube MCP (Composio). Always search tools first for current schemas. | 69 8.33x Agent success vs baseline Impact 100% 8.33xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
alchemy-automation Automate Alchemy tasks via Rube MCP (Composio). Always search tools first for current schemas. | 73 3.76x Agent success vs baseline Impact 98% 3.76xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
aivoov-automation Automate Aivoov tasks via Rube MCP (Composio). Always search tools first for current schemas. | 73 4.61x Agent success vs baseline Impact 97% 4.61xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
airtable-automation Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas. | 73 1.30x Agent success vs baseline Impact 93% 1.30xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
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. | 80 1.01x Agent success vs baseline Impact 96% 1.01xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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 1.20x Agent success vs baseline Impact 84% 1.20xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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. | 44 1.37x Agent success vs baseline Impact 80% 1.37xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
ai-ml-api-automation Automate AI ML API tasks via Rube MCP (Composio). Always search tools first for current schemas. | 68 50.00x Agent success vs baseline Impact 100% 50.00xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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. | 58 1.17x Agent success vs baseline Impact 73% 1.17xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
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. | 70 1.40x Agent success vs baseline Impact 91% 1.40xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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 Impact Pending No eval scenarios have been run Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
agility-cms-automation Automate Agility CMS tasks via Rube MCP (Composio). Always search tools first for current schemas. | 73 14.28x Agent success vs baseline Impact 100% 14.28xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
agiled-automation Automate Agiled tasks via Rube MCP (Composio). Always search tools first for current schemas. | 72 4.00x Agent success vs baseline Impact 92% 4.00xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
agenty-automation Automate Agenty tasks via Rube MCP (Composio). Always search tools first for current schemas. | 73 4.40x Agent success vs baseline Impact 97% 4.40xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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". | 84 1.31x Agent success vs baseline Impact 100% 1.31xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
agentql-automation Automate Agentql tasks via Rube MCP (Composio). Always search tools first for current schemas. | 72 2.13x Agent success vs baseline Impact 94% 2.13xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
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 | 49 0.99x Agent success vs baseline Impact 99% 0.99xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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. | 63 1.15x Agent success vs baseline Impact 97% 1.15xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
agent-orchestration-improve-agent Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration. | 64 1.54x Agent success vs baseline Impact 82% 1.54xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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 | 36 1.06x Agent success vs baseline Impact 78% 1.06xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
agent-memory-mcp A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions). | 70 10.00x Agent success vs baseline Impact 100% 10.00xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
agent-manager-skill Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling. | 84 2.43x Agent success vs baseline Impact 100% 2.43xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
agent-mail-automation Automate Agent Mail tasks via Rube MCP (Composio). Always search tools first for current schemas. | 89 2.42x Agent success vs baseline Impact 97% 2.42xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
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. | 94 7.14x Agent success vs baseline Impact 100% 7.14xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
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. | 69 1.05x Agent success vs baseline Impact 99% 1.05xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
agencyzoom-automation Automate Agencyzoom tasks via Rube MCP (Composio). Always search tools first for current schemas. | 73 12.50x Agent success vs baseline Impact 100% 12.50xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
affinity-automation Automate Affinity tasks via Rube MCP (Composio). Always search tools first for current schemas. | 69 6.23x Agent success vs baseline Impact 81% 6.23xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
affinda-automation Automate Affinda tasks via Rube MCP (Composio). Always search tools first for current schemas. | 69 4.52x Agent success vs baseline Impact 77% 4.52xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
aeroleads-automation Automate Aeroleads tasks via Rube MCP (Composio). Always search tools first for current schemas. | 72 1.84x Agent success vs baseline Impact 96% 1.84xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
aero-workflow-automation Automate Aero Workflow tasks via Rube MCP (Composio). Always search tools first for current schemas. | 72 15.83x Agent success vs baseline Impact 95% 15.83xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
adyntel-automation Automate Adyntel tasks via Rube MCP (Composio). Always search tools first for current schemas. | 73 7.69x Agent success vs baseline Impact 100% 7.69xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
adrapid-automation Automate Adrapid tasks via Rube MCP (Composio). Always search tools first for current schemas. | 73 6.46x Agent success vs baseline Impact 97% 6.46xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
adobe-automation Automate Adobe tasks via Rube MCP (Composio). Always search tools first for current schemas. | 73 7.07x Agent success vs baseline Impact 99% 7.07xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
addresszen-automation Automate Addresszen tasks via Rube MCP (Composio). Always search tools first for current schemas. | 73 4.84x Agent success vs baseline Impact 97% 4.84xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
address-github-comments Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI. | 79 1.03x Agent success vs baseline Impact 87% 1.03xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
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. | 81 1.88x Agent success vs baseline Impact 100% 1.88xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
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 Impact Pending No eval scenarios have been run Securityby Critical Do not install without reviewing Reviewed: Version: ae2cadd | |
active-campaign-automation Automate ActiveCampaign tasks via Rube MCP (Composio). Always search tools first for current schemas. | 89 12.37x Agent success vs baseline Impact 99% 12.37xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
acculynx-automation Automate Acculynx tasks via Rube MCP (Composio). Always search tools first for current schemas. | 72 2.43x Agent success vs baseline Impact 95% 2.43xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
accredible-certificates-automation Automate Accredible Certificates tasks via Rube MCP (Composio). Always search tools first for current schemas. | 66 22.50x Agent success vs baseline Impact 90% 22.50xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
accessibility-wcag Web accessibility patterns for WCAG 2.2 compliance including ARIA, keyboard navigation, screen readers, and testing | 79 1.06x Agent success vs baseline Impact 95% 1.06xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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. | 85 1.14x Agent success vs baseline Impact 93% 1.14xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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. | 66 1.01x Agent success vs baseline Impact 100% 1.01xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
accelo-automation Automate Accelo tasks via Rube MCP (Composio). Always search tools first for current schemas. | 69 5.71x Agent success vs baseline Impact 80% 5.71xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
abyssale-automation Automate Abyssale tasks via Rube MCP (Composio). Always search tools first for current schemas. | 73 16.66x Agent success vs baseline Impact 100% 16.66xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
abuselpdb-automation Automate Abuselpdb tasks via Rube MCP (Composio). Always search tools first for current schemas. | 69 7.00x Agent success vs baseline Impact 77% 7.00xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
abstract-automation Automate Abstract tasks via Rube MCP (Composio). Always search tools first for current schemas. | 65 2.37x Agent success vs baseline Impact 88% 2.37xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
ably-automation Automate Ably tasks via Rube MCP (Composio). Always search tools first for current schemas. | 72 4.57x Agent success vs baseline Impact 96% 4.57xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
ab-test-setup Structured guide for setting up A/B tests with mandatory gates for hypothesis, metrics, and execution readiness. | 68 1.01x Agent success vs baseline Impact 100% 1.01xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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. | 85 1.35x Agent success vs baseline Impact 100% 1.35xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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. | 77 1.07x Agent success vs baseline Impact 86% 1.07xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
strategic-compact Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction. | 51 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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. | 92 1.07x Agent success vs baseline Impact 97% 1.07xAverage score across 9 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
postgres-patterns PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices. | 69 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: ae2cadd | |
iterative-retrieval Pattern for progressively refining context retrieval to solve the subagent context problem | 60 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: ae2cadd | |
golang-testing Go testing patterns including table-driven tests, subtests, benchmarks, fuzzing, and test coverage. Follows TDD methodology with idiomatic Go practices. | 72 1.12x Agent success vs baseline Impact 80% 1.12xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
golang-patterns Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications. | 56 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: ae2cadd | |
frontend-patterns Frontend development patterns for React, Next.js, state management, performance optimization, and UI best practices. | 55 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: ae2cadd | |
eval-harness Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles | 75 2.08x Agent success vs baseline Impact 100% 2.08xAverage score across 6 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
continuous-learning Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use. | 59 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: ae2cadd | |
coding-standards Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development. | 72 1.21x Agent success vs baseline Impact 89% 1.21xAverage score across 6 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
clickhouse-io ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads. | 57 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: ae2cadd | |
backend-patterns Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes. | 61 Impact Pending No eval scenarios have been run Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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%。 | 78 1.03x Agent success vs baseline Impact 98% 1.03xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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。 | 69 2.22x Agent success vs baseline Impact 98% 2.22xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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。 | 84 1.26x Agent success vs baseline Impact 92% 1.26xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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。 | 78 1.10x Agent success vs baseline Impact 97% 1.10xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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。 | 79 1.29x Agent success vs baseline Impact 100% 1.29xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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. | 95 1.04x Agent success vs baseline Impact 96% 1.04xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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。 | 65 1.18x Agent success vs baseline Impact 56% 1.18xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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。 | 67 1.17x Agent success vs baseline Impact 94% 1.17xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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。 | 91 1.02x Agent success vs baseline Impact 95% 1.02xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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。 | 78 1.09x Agent success vs baseline Impact 96% 1.09xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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 | 65 3.00x Agent success vs baseline Impact 87% 3.00xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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。 | 70 1.23x Agent success vs baseline Impact 84% 1.23xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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。 | 60 1.17x Agent success vs baseline Impact 74% 1.17xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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。 | 64 1.74x Agent success vs baseline Impact 94% 1.74xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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 | 60 1.71x Agent success vs baseline Impact 96% 1.71xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
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。 | 70 1.25x Agent success vs baseline Impact 95% 1.25xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
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。 | 70 1.03x Agent success vs baseline Impact 90% 1.03xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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。 | 68 1.41x Agent success vs baseline Impact 96% 1.41xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
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。 | 68 2.22x Agent success vs baseline Impact 100% 2.22xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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。 | 62 1.72x Agent success vs baseline Impact 86% 1.72xAverage score across 3 eval scenarios Securityby Advisory Suggest reviewing before use Reviewed: Version: ae2cadd | |
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。 | 67 1.07x Agent success vs baseline Impact 95% 1.07xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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。 | 77 1.35x Agent success vs baseline Impact 99% 1.35xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd | |
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。 | 68 1.13x Agent success vs baseline Impact 100% 1.13xAverage score across 3 eval scenarios Securityby Passed No known issues Reviewed: Version: ae2cadd |