Development
Frontend, Backend, Mobile, and Full-Stack development skills
20307 skills in this category
Subcategories
skill-generator
Generates well-structured Agent Skill documents following Claude Code best practices. Use when asked to create new Agent Skills, draft SKILL.md files, or design skill architectures.
gitlab-scripts
Use GitLab scripts instead of GitLab MCP for both read and write operations. Read operations (gitlab-mr-comments, gitlab-list-mrs) for fetching MR data. Write operations (gitlab-create-mr, gitlab-comment-mr, gitlab-inline-comment, gitlab-update-mr) for creating/updating MRs and posting inline code comments. Use when reviewing code, creating MRs, commenting on MRs, adding inline code review comments, updating MR metadata, listing MRs, or working with GitLab merge requests. Replaces 82 MCP functions (80k tokens) with lightweight bash scripts.
spec-driven-dev
Spec-Driven Development (SDD) agent for maintaining synchronized specifications, code, and documentation.Core principle: "1 Todo = 1 Commit = 1 Spec Update".Use this skill when:- Starting a new feature or task that needs specification- Implementing code based on existing specifications- Validating that code matches specifications- Updating CHANGELOG.md with changes- Managing PRD/specification documents- Ensuring traceability between requirements and implementationTriggers: "spec", "specification", "PRD", "requirements", "SDD", "spec-driven"
gray-swan-wave3-mitm
Execute Gray Swan Wave 3 MITM challenges across 10 challenges and 90 AI models using Playwright automation, tiered execution strategy, and compliance framing. Use for Wave 3 healthcare, critical infrastructure, WordPress, and web vulnerability challenges.
mutation-testing
Guide developers through mutation testing to assess and improve test suite quality
devops-practices
Expertise in deployment automation, container orchestration, and infrastructure as code. Activates when working with "deploy", "kubernetes", "docker", "terraform", "helm", "k8s", "container", or cloud infrastructure.
theme-factory
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reports, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact, or generate a new theme on-the-fly.
tailwind-styling
Tailwind CSS styling patterns, dark theme implementation, and theme management for this project. Use when styling components, implementing UI changes, or working with the design system.
accessibility-a11y
Semantic HTML, keyboard navigation, focus states, ARIA labels, skip links, and WCAG contrast requirements. Use when ensuring accessibility compliance, implementing keyboard navigation, or adding screen reader support.
cloudflare-containers
Deploy and manage Docker containers on Cloudflare's global network alongside Workers. Use when building applications that need to run Python code, process large files (multi-GB zips, video transcoding), execute CLI tools, run AI inference, create code sandboxes, or any workload requiring more memory/CPU than Workers provide. Triggers include requests to run containers, execute arbitrary code, process large files, deploy backend services in Python/Go/Rust, or integrate heavyweight compute with Workers.
performance-profiling
Python performance profiling with cProfile, line_profiler, memory_profiler, and py-spy. Covers profiling workflows, interpreting results, finding bottlenecks, memory leak detection, and optimization strategies. Use when code is slow, debugging performance issues, optimizing for production, or investigating memory usage.
otto-orchestrate
Use when spawning Codex agents via Otto to delegate implementation work.
data-analyzer
数据分析助手,提供数据清洗、探索性分析(EDA)、统计分析、可视化图表生成等功能,支持Python(Pandas/NumPy/Matplotlib)和JavaScript(ECharts/D3.js),助力数据驱动决策。
skill-builder
Use this skill when creating new Claude Code skills from scratch, editing existing skills to improve their descriptions or structure, or converting Claude Code sub-agents to skills. This includes designing skill workflows, writing SKILL.md files, organizing supporting files with intention-revealing names, and leveraging CLI tools and Node.js scripting.
nestjs
Build production-ready NestJS modules with entities, DTOs, services, controllers
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment - applies TDD to process documentation by testing with subagents before writing, iterating until bulletproof against rationalization
refactoring-assistant
Assists with code refactoring by detecting code smells, suggesting improvements, and providing refactoring patterns. Activates when writing/editing code, explicitly requested refactoring, or when code quality issues are detected. Maintains awareness of core principles while providing detailed patterns and examples.
r-development
Modern R development practices emphasizing tidyverse patterns (dplyr 1.1 and later, native pipe, join_by, .by grouping), rlang metaprogramming, performance optimization, and package development. Use when Claude needs to write R code, create R packages, optimize R performance, or provide R programming guidance.
analyzing-architecture
Comprehensive project architecture analyzer that identifies technology stacks, build tools, and architectural patterns. Use when you need to quickly understand a project's structure, dependencies, and technical configuration. Provides analysis for frontend frameworks (Vue/React/Angular), Node.js environments, package managers, TypeScript usage, linters, and architecture patterns.
map-audit
For leaders evaluating dashboards, metrics, or AI-generated reports to determine if they measure realityor generate confident-looking noise (Potemkin maps).Helps identify gaming potential, blind spots, and whether you should trust a metric more, less, or differently.Use when implementing new metrics, questioning existing dashboards, evaluating vendor claims,or when something feels off about your data.Keywords: dashboard audit, metrics, KPIs, gaming, Goodhart's law, AI reports, data quality,measurement validity, blind spots, Potemkin, are my metrics real, can I trust this data