laravel-11-12-app-guidelines
Guidelines and workflow for working on Laravel 11 or Laravel 12 applications across common stacks (API-only or full-stack), including optional Docker Compose/Sail, Inertia + React, Livewire, Vue, Blade, Tailwind v4, Fortify, Wayfinder, PHPUnit, Pint, and Laravel Boost MCP tools. Use when implementing features, fixing bugs, or making UI/backend changes while following project-specific instructions (AGENTS.md, docs/).
docker-local-dev
Generate Docker Compose and Dockerfile configurations for local development through interactive Q&A. Supports PHP/Laravel, WordPress, Drupal, Joomla, Node.js, and Python stacks with Nginx, Supervisor/PM2, databases, Redis, and email testing. Always asks clarifying questions before generating configurations.
design-system-generator
Generate a project-specific DESIGN_SYSTEM.md that enforces consistent UI/UX across SPAs, traditional server-rendered sites, and hybrid systems. Includes tokens, component rules, accessibility gates, and production asset/manifest guidance.
ask-questions-if-underspecified
Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
agents-md-generator
Generate or update CLAUDE.md/AGENTS.md files for AI coding agents through auto-scanning project files combined with interactive Q&A. Supports multiple tech stacks, development environments, and preserves customizations when updating.
browser
Minimal Chrome DevTools Protocol tools for browser automation and scraping. Use when you need to start Chrome, navigate pages, execute JavaScript, take screenshots, or interactively pick DOM elements. Triggers include "browse website", "scrape page", "take screenshot", "automate browser", "extract DOM", "web scraping".
docx-format-replicator
Extract formatting from existing Word documents and generate new documents with the same format but different content. Use this skill when users need to create multiple documents with consistent formatting, replicate document templates, or maintain corporate document standards across different content.
wechat-article-writer
公众号文章自动化写作流程。支持资料搜索、文章撰写、爆款标题生成、排版优化。当用户提到写公众号、微信文章、自媒体写作、爆款文章、内容创作时使用此 skill。
Video Processor
Download and process videos from YouTube and other platforms. Supports video download, audio extraction, format conversion (mp4, webm), and Whisper transcription. Use when user mentions YouTube download, video conversion, audio extraction, transcription, mp4, webm, ffmpeg, yt-dlp, or whisper transcription.
effect-best-practices
Enforces Effect-TS patterns for services, errors, layers, and atoms. Use when writing code with Effect.Service, Schema.TaggedError, Layer composition, or effect-atom React components.
websh
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open-prose
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tinybird
Tinybird Code agent tools and prompts for working with Tinybird projects, datafiles, queries, deployments, and tests.
mastra-best-practices
Quick reference for Mastra conventions. When to use agents vs workflows, required TypeScript config, project structure, and common code patterns.
mastra-embedded-docs-look-up
Mastra packages ship with embedded docs in node_modules/@mastra/*/dist/docs/. Use these for accurate API signatures that match your installed version.
create-mastra
Skill for creating AI agent projects using Mastra framework. Ask user which setup - Quick (they run CLI), Guided (step-by-step), or Automatic (AI creates files using manual steps below).
tavily-best-practices
Build production-ready Tavily integrations with best practices baked in. Reference documentation for developers using coding assistants (Claude Code, Cursor, etc.) to implement web search, content extraction, crawling, and research in agentic workflows, RAG systems, or autonomous agents.
search
Search the web using Tavily's LLM-optimized search API. Returns relevant results with content snippets, scores, and metadata. Use when you need to find web content on any topic without writing code.
research
Get AI-synthesized research on any topic with citations, directly in your terminal. Supports structured JSON output for pipelines. Use when you need comprehensive research grounded in web data without writing code.
extract
Extract content from specific URLs using Tavily's extraction API. Returns clean markdown/text from web pages. Use when you have specific URLs and need their content without writing code.
crawl
Crawl any website and save pages as local markdown files. Use when you need to download documentation, knowledge bases, or web content for offline access or analysis. No code required - just provide a URL.
Skill Evolution Manager
专门用于在对话结束时，根据用户反馈和对话内容总结优化并迭代现有 Skills 的核心工具。它通过吸取对话中的“精华”（如成功的解决方案、失败的教训、特定的代码规范）来持续演进 Skills 库。
skill-manager
Lifecycle manager for GitHub-based skills. Use this to batch scan your skills directory, check for updates on GitHub, and perform guided upgrades of your skill wrappers.
github-to-skills
Automated factory for converting GitHub repositories into specialized AI skills. Use this skill when the user provides a GitHub URL and wants to "package", "wrap", or "create a skill" from it. It automatically fetches repository details, latest commit hashes, and generates a standardized skill structure with enhanced metadata suitable for lifecycle management.
skill-from-github
Create skills by learning from high-quality GitHub projects
skill-from-notebook
Extract methodologies from documents or examples to create executable skills
search-skill
Search and recommend Claude Code skills from trusted marketplaces
write-python
Write idiomatic and modern (3.14+) python code. Use when writing Python code, CLI tools, scripts, or services. Emphasizes stdlib, type hints, uv/ruff toolchain, and minimal dependencies.
uv-tdd
A development process for Python code that uses Test Drivern Development (TDD) to iterate on a new project based around uv. Use when creating a new Python project, writing Python code with tests, or working on Python development using test-driven development practices with the uv package manager.
commit
Generate conventional commit messages following git-cz style by default (emoji between type and subject). Automatically detects project configuration when present. Use when creating git commit messages with Conventional Commits specification. See references/config-detection.md for supported configurations.
frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications. Generates creative, polished code that avoids generic AI aesthetics.
arcanea-api-design
Design APIs that developers love. RESTful principles, GraphQL patterns, versioning strategies, and the art of creating interfaces that are intuitive, consistent, and future-proof.
ai-workflow-engineering
Guide for creating reliable AI workflows and SOPs. Use when: (1) User wants to create a structured workflow for AI tasks, (2) User needs to build an SOP for complex processes, (3) User wants to ensure their workflow follows best practices for managing LLM uncertainty, (4) User mentions creating workflows for domains like code review, response analysis, documentation, or any structured process
response-quality-analysis
Analyze whether your response addresses the actual question asked before posting. Use when: (1) About to post response to forum/Slack question, (2) Want to validate response coverage, (3) Need to ensure solving the right problem, (4) Want specific improvement suggestions for gaps in response
skill-resiliency
This skill should be used when the user asks to "add resiliency to a skill", "make this skill more robust", "improve error handling", "add validation mechanisms", "create self-correcting behavior", or discusses determinism, robustness, error correction, or homeostatic patterns in Agent Skills. Applies biological resiliency principles from Michael Levin's work to Agent Skill design.
guided-ooda-loop
Universal pattern for structured LLM interaction managing finite context windows through phased progression (Observe-Orient-Decide-Act). Use when the user has a complex problem, wants to design/build/create something (software, strategy, document, process), or uses phrases like "I have an idea for...", "help me design...", "guide me through...", or mentions OODA, RPI, or PDD. Reduces hallucinations through structured interaction.
python-linting
Python linting and type checking using ruff (formatting + linting) and pyright (type checking). Covers common errors, configuration, fixing violations, and when to use noqa. Use when fixing linting errors, configuring ruff/pyright, or understanding Python code quality tools.
git-workflows
Advanced Git workflows including interactive rebase, bisect, worktrees, branch strategies, conflict resolution, cherry-picking, and submodules. Use when doing complex git operations, cleaning up commit history, managing multiple branches, investigating bugs with git bisect, or working on parallel features with worktrees.
pr-review-standards
Code quality standards for PR review agents including try/except rules, logging patterns, type hints, and verification requirements. Use when reviewing code, spawning PR review agents, or validating code quality.
test-plan-formatting
Format concise, actionable test plans for Jira tickets using existing fptest tools and minimal MongoDB operations
sqlite-best-practices
SQLite best practices including WAL checkpoint timing for multiprocessing, stateful batch connections for atomicity, and performance configuration. Use when working with SQLite in Python projects requiring concurrent access, multi-table atomicity, or multiprocessing.
skill-authoring
Best practices for creating and updating Claude Code skills including YAML frontmatter structure, description patterns for discoverability, content organization, progressive disclosure, and testing strategies. Use when creating new skills or updating existing skills to follow proven patterns.
mutation-testing
Validate test suite quality using mutation testing with mutmut or cosmic-ray to detect weak tests, calculate mutation scores, and improve test coverage. Use when validating test effectiveness, achieving high test quality, or detecting tests that pass but don't validate behavior.
Python Style Standards
Python coding standards including line length (80 chars), naming conventions (snake_case, PascalCase), type hints, docstrings, exception handling, and logging patterns. Use when writing new Python code or reviewing code quality.
pr-review-common-patterns
Common patterns in PR reviews including false positives, security vulnerabilities, N+1 queries, breaking changes, and edge cases. Use when analyzing code, verifying findings, or understanding typical issues.
ci-cd-pipelines
GitLab CI/CD pipeline patterns including testing stages, Docker builds, caching strategies, secrets management, deployment patterns (blue-green, canary, rolling), and rollback procedures. Use when creating .gitlab-ci.yml, optimizing CI performance, setting up deployment pipelines, or troubleshooting CI failures.
debugging-strategies
Systematic debugging including root-cause tracing (trace backward through call stack), reproduction strategies, pdb/debugpy usage, logging analysis, binary search debugging, and error pattern recognition. Use when debugging errors, tracing bugs through call stacks, investigating production issues, or reproducing intermittent bugs.
api-design-patterns
REST API design patterns including versioning strategies (URL, header, content negotiation), pagination (offset, cursor, keyset), filtering and sorting, error response formats (RFC 7807), authentication (JWT, OAuth 2.0, API keys), rate limiting, and OpenAPI specification. Use when designing APIs, documenting endpoints, implementing authentication, standardizing error responses, or reviewing API implementations.
docker-optimization
Optimize Docker images for Python applications including multi-stage builds (70%+ size reduction), security scanning with Trivy, layer caching, and distroless base images. Use when creating Dockerfiles, reducing image size, improving build performance, or scanning for vulnerabilities.
kubernetes-patterns
Kubernetes deployment patterns including Deployments, Services, Ingress, ConfigMaps, Secrets, resource management, health checks, and horizontal pod autoscaling. Covers kubectl commands, YAML manifests, and GitOps workflows. Use when deploying to Kubernetes, managing containers, setting up services, or troubleshooting pod issues.
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