
Claude Skills by affaan-m
github.com/affaan-mUse when the user asks to make something faster, try many variants, run recursive optimization, benchmark latency/throughput/cost, or choose the best implementation by repeated measured tests.
Use this skill when inspecting Blender characters, rigs, poses, animation retargeting, ground contact, facing direction, or model-vs-motion alignment where screenshots alone are not enough.
Use when large data ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, or table synchronization needs to become much faster while preserving data correctness.
Accessibility patterns for React and Next.js — semantic HTML, ARIA attributes, form labeling, keyboard navigation, focus management, and screen reader support. Use when building any interactive UI component or form.
Compare Itô prediction-market baskets against a user's knowledge base, portfolio notes, financial context, watchlist, or research thesis. Use for read-only basket comparison and gap analysis without investment advice or live trading.
Design background Data Atlas style agents for Itô basket research, market discovery, parameter drafting, and human-in-the-loop editing. Use for architecture and workflow planning, not live order execution.
Research prediction-market events, venues, underliers, liquidity, and news context for Itô basket workflows. Use for read-only market intelligence, API-gated Itô exploration, and source-grounded prediction-market briefings without investment advice or live trading.
Build a non-advisory prediction-market trade planning worksheet for Itô or venue workflows. Use to inspect venues, underliers, constraints, order prerequisites, and manual execution steps without placing trades or recommending positions.
Use for latency-sensitive systems such as realtime dashboards, market data, streaming agents, execution gateways, queues, caches, or HFT-like infrastructure where freshness and p95 latency matter.
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches.
Use when the user wants a task done much faster through parallel work, concurrent agents, batched tool calls, isolated worktrees, or many independent verification lanes without losing correctness.
Research prediction markets as data sources or oracle signals for products, agents, dashboards, and corporate decision intelligence. Use for source-grounded analysis of market-implied probabilities, caveats, and integration patterns without investment advice.
Review prediction-market, basket, oracle, and trading-agent workflows for compliance, safety, data-quality, privacy, and execution risk. Use before any workflow handles venue auth, user portfolio data, API keys, or trade planning.
Prisma ORM patterns for TypeScript backends — schema design, query optimization, transactions, pagination, and critical traps like updateMany returning count not records, $transaction timeouts, migrate dev resetting the DB, @updatedAt skipped on bulk writes, and serverless connection exhaustion.
Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced For You algorithm. Use this skill whenever the user is building any system that picks "the top K items for a (user, context)" — social feeds, content CMSs, RAG rerankers, task prioritizers, notification triage, search reranking, ad ranking.
Use when the user asks for repeated rollouts, marked decision processes, high-dimensional search, stochastic optimization, local-optima exploration, ensemble comparison, or recursive reasoning with a visible evidence trail.
Agent-driven scheduling and publishing of social media posts across 13 platforms via SocialClaw. Use when the user wants to publish to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, or Pinterest — or when managing campaigns, uploading media, or monitoring post delivery status.
Use when managing an Uncloud cluster — deploying services, configuring Caddy ingress, adding static proxy routes for non-cluster devices, publishing ports, scaling, inspecting logs, or managing machines and volumes with the `uc` CLI.
Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.
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。
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。
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。
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。
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。
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。
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。
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。
Verification loop for Django projects: migrations, linting, tests with coverage, security scans, and deployment readiness checks before release or PR.
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
React、Next.js、状态管理、性能优化和UI最佳实践的前端开发模式。
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。
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。
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
Java coding standards for Spring Boot services: naming, immutability, Optional usage, streams, exceptions, generics, and project layout.
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。
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。
这是一个项目特定技能的示例。将其用作您自己项目的模板。 基于一个真实的生产应用程序:[Zenith](https://zenith.chat) - 由 AI 驱动的客户发现平台。 ***
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。
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。
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.
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。
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。
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。
Verification loop for Spring Boot projects: build, static analysis, tests with coverage, security scans, and diff review before release or PR.
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。
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%。
一个全面的 Claude Code 会话验证系统。
Interactive installer for Everything Claude Code — guides users through selecting and installing skills and rules to user-level or project-level directories, verifies paths, and optionally optimizes installed files.
> Auto-generated skill from repository analysis