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Claude Skills by affaan-m
github.com/affaan-m1,078 skills185 installs5,211 views
- Benchmark Optimization LoopConvert 'make it faster' requests into a bounded measured optimization loop — baseline first, generate one-hypothesis variants, benchmark each against a correctness gate, and promote the fastest safe variant with reproducible commands. Use when asked to speed something up, try many variants, run recursive optimization, benchmark latency/throughput/cost, or pick the best implementation by repeated measured tests.Votes: 0GitHub stars: 269,914
- Blender Motion State InspectionUse 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.Votes: 0GitHub stars: 269,914
- Data Throughput AcceleratorDiagnose and accelerate large data movement — ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, and table synchronization — by isolating the true bottleneck, benchmarking variants, and codifying the fastest path with a hard accounting block proving rows and timestamps cohere. Use when a pipeline or backfill is too slow and must get faster without losing data correctness.Votes: 0GitHub stars: 269,914
- Frontend A11yAccessibility patterns for React and Next.js — semantic HTML, ARIA attributes, form labeling, keyboard navigation, focus management, and screen reader support. Use when building or reviewing forms, modals, dropdowns, tooltips, or tabs, fixing a11y lint or code-review findings, or wiring up keyboard navigation and focus management.Votes: 0GitHub stars: 269,914
- Latency Critical SystemsOptimize and verify latency-sensitive systems — realtime dashboards, market data feeds, streaming agents, execution gateways, queues, and caches — by tracking p50/p95/p99 latency, freshness age, and queue depth, mapping hot paths, and running live readbacks. Use when p95 latency, throughput, or data freshness matters.Votes: 0GitHub stars: 269,914
- Marketing CampaignEnd-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.Votes: 2GitHub stars: 269,914
- Parallel Execution OptimizerSpeed up a task by turning it into a dependency graph of parallel lanes with a lane matrix, batched reads and checks, write surfaces isolated by file, worktree, branch, or service, and a final verification table. 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.Votes: 0GitHub stars: 269,914
- Prediction Market Oracle ResearchResearch 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.Votes: 0GitHub stars: 269,914
- Prediction Market Risk ReviewReview 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.Votes: 0GitHub stars: 269,914
- Prisma PatternsPrisma 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.Votes: 0GitHub stars: 269,914
- Recsys Pipeline ArchitectDesign 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.Votes: 0GitHub stars: 269,914
- Recursive Decision LedgerRun repeated rollouts ("Prime Gauss" style recursive prompting) while keeping an append-only decision ledger of trials, marks, coherence checks, and promotion gates, so recursive confidence never auto-approves live trading, deploy, or destructive actions. 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.Votes: 0GitHub stars: 269,914
- Social PublisherAgent-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.Votes: 0GitHub stars: 269,914
- UncloudUse 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.Votes: 0GitHub stars: 269,914
- Everything Claude CodeDevelopment conventions and patterns for everything-claude-code. JavaScript project with conventional commits.Votes: 0GitHub stars: 269,914
- Backend Patterns后端架构模式、API设计、数据库优化以及适用于Node.js、Express和Next.js API路由的服务器端最佳实践。Votes: 0GitHub stars: 269,914
- Clickhouse IoClickHouse数据库模式、查询优化、分析以及高性能分析工作负载的数据工程最佳实践。Votes: 0GitHub stars: 269,914
- 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。Votes: 0GitHub stars: 269,914
- Continuous Learning V2基于本能的学习系统，通过钩子观察会话，创建带置信度评分的原子本能，并将其进化为技能/命令/代理。v2.1版本增加了项目范围的本能，以防止跨项目污染。Votes: 0GitHub stars: 269,914
- Continuous Learning自动从Claude Code会话中提取可重复使用的模式，并将其保存为学习到的技能以供将来使用。Votes: 0GitHub stars: 269,914
- Django PatternsDjango架构模式，使用DRF设计REST API，ORM最佳实践，缓存，信号，中间件，以及生产级Django应用程序。Votes: 0GitHub stars: 269,914
- Django SecurityDjango 安全最佳实践、认证、授权、CSRF 防护、SQL 注入预防、XSS 预防和安全部署配置。Votes: 0GitHub stars: 269,914
- Django TddDjango 测试策略，包括 pytest-django、TDD 方法、factory_boy、模拟、覆盖率以及测试 Django REST Framework API。Votes: 0GitHub stars: 269,914
- Django VerificationDjango项目的验证循环：迁移、代码检查、带覆盖率的测试、安全扫描，以及在发布或PR前的部署就绪检查。Votes: 0GitHub stars: 269,914
- 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Votes: 0GitHub stars: 269,914
- Frontend PatternsReact、Next.js、状态管理、性能优化和UI最佳实践的前端开发模式。Votes: 0GitHub stars: 269,914
- Golang Patterns用于构建健壮、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。Votes: 0GitHub stars: 269,914
- Golang TestingGo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。Votes: 0GitHub stars: 269,914
- Iterative Retrieval逐步优化上下文检索以解决子代理上下文问题的模式Votes: 0GitHub stars: 269,914
- Java Coding StandardsSpring Boot服务的Java编码标准：命名、不可变性、Optional用法、流、异常、泛型和项目布局。Votes: 0GitHub stars: 269,914
- Jpa PatternsSpring Boot中的JPA/Hibernate模式，用于实体设计、关系处理、查询优化、事务管理、审计、索引、分页和连接池。Votes: 0GitHub stars: 269,914
- Postgres Patterns用于查询优化、模式设计、索引和安全性的PostgreSQL数据库模式。基于Supabase最佳实践。Votes: 0GitHub stars: 269,914
- Python PatternsPythonic 惯用法、PEP 8 标准、类型提示以及构建稳健、高效且可维护的 Python 应用程序的最佳实践。Votes: 0GitHub stars: 269,914
- Python Testing使用pytest的Python测试策略，包括TDD方法、夹具、模拟、参数化和覆盖率要求。Votes: 0GitHub stars: 269,914
- Security Review在添加身份验证、处理用户输入、处理机密信息、创建API端点或实现支付/敏感功能时使用此技能。提供全面的安全检查清单和模式。Votes: 0GitHub stars: 269,914
- Springboot PatternsSpring 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。用于Java Spring Boot后端工作。Votes: 0GitHub stars: 269,914
- Springboot SecurityJava Spring Boot 服务中认证/授权、验证、CSRF、密钥、标头、速率限制和依赖安全性的 Spring Security 最佳实践。Votes: 0GitHub stars: 269,914
- 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。Votes: 0GitHub stars: 269,914
- Springboot VerificationSpring Boot项目验证循环：构建、静态分析、测试覆盖、安全扫描，以及发布或PR前的差异审查。Votes: 0GitHub stars: 269,914
- Strategic Compact建议在逻辑间隔处手动压缩上下文，以在任务阶段中保留上下文，而非任意的自动压缩。Votes: 0GitHub stars: 269,914
- 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，确保单元测试、集成测试和端到端测试的覆盖率超过80%。Votes: 0GitHub stars: 269,914
- Verification LoopClaude Code 会话的全面验证系统。Votes: 0GitHub stars: 269,914
- Article WritingWrite articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.Votes: 0GitHub stars: 269,914
- Brand DiscoveryUse when a brand needs to discover or articulate its identity through structured multi-session interviews. Covers purpose, positioning, audience, personality, voice, narrative, and founder-brand tension across 8 modules using laddering, 5 Whys, and projective techniques. Produces a resumable session with disk-persisted state and a master brandbook (90_SYNTHESIS.md).Votes: 0GitHub stars: 269,914
- Bun RuntimeBun as runtime, package manager, bundler, and test runner. When to choose Bun vs Node, migration notes, and Vercel support.Votes: 0GitHub stars: 269,914
- Competitive Platform AnalysisUse when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins. Decides who counts as a competitor, which tier they belong to, and which sources to mine. First step in the three-skill competitive pipeline; precedes benchmark-methodology.Votes: 0GitHub stars: 269,914
- Competitive Report StructureUse after benchmark-methodology has produced scored competitor profile cards. Assembles findings into a decision-grade report: landscape map, competitor profiles, benchmarking matrix, white-space analysis, strategic recommendations, and team alignment trigger questions. Final step in the three-skill competitive pipeline.Votes: 0GitHub stars: 269,914
- CrosspostMulti-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.Votes: 0GitHub stars: 269,914
- Deep ResearchMulti-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.Votes: 0GitHub stars: 269,914
- Eval HarnessFormal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles. Use when a Claude Code workflow needs a formal eval before it is trusted or changed.Votes: 0GitHub stars: 269,914