react-patterns
Modern React patterns for TypeScript applications including hooks, state management, and component composition. Use when building React components, managing state, or implementing React best practices.
tailwind-conventions
Consistent Tailwind CSS patterns for React/Next.js applications. Use when styling components with Tailwind, adding responsive design, implementing dark mode, or organizing utility classes.
test-generator
Generates Jest or Pytest tests following Ben's testing standards. Use when creating tests, adding test coverage, writing unit tests, mocking dependencies, or when user mentions testing, test cases, Jest, Pytest, fixtures, assertions, or coverage.
Nano Banana Image Generation
Generate and edit images using Google Gemini image models. Use this skill when the user asks to create, generate, make, or edit images with AI. Supports text-to-image, image editing, style transfer, and multi-image composition. Trigger on requests like "create an image", "generate a picture", "make me a logo", "edit this photo", "add X to this image".
Nano Banana Video Generation
Generate videos using Google Veo models via the nano-banana CLI. Use this skill when the user asks to create, generate, animate, or produce videos with AI. Supports text-to-video, image-to-video animation, dialogue with lip-sync, and scene extensions. Trigger on requests like "create a video", "animate this image", "make a video clip", "generate footage", "produce a short film", "add motion to this".
git-ops
Safe git operations including commits, branches, merges, worktrees, and conflict resolution. Use when user wants to commit and push changes, manage branches, resolve conflicts, or create isolated workspaces. Activates when user says "commit", "push", "merge", "branch", "pull", "rebase", "worktree", "conflict", or similar git workflow requests.
food-diorama-skill
Generate 3D historical gourmet diorama images for Chinese cities using Google Gemini API. Creates artistic miniature food worlds with four-quadrant layouts featuring iconic dishes, Pop Mart style figures, and cultural elements. Use when the user asks to create food diorama, 美食盲盒, gourmet blind box, city food scene, or mentions generating 3D food artwork for cities like 西安, 重庆, 成都, 北京, 广州.
tech-manga-explainer
生成技术科普漫画，用对话形式解释复杂的技术概念。当用户请求「用漫画解释技术」「生成技术科普漫画」「把这个技术概念画成漫画」「漫画教程」「用漫画讲解 XXX」或类似需求时使用。适合 n8n、Kubernetes、AI、编程、架构等技术话题。通过 nanobanana + Gemini API 生成图片。
nuxthub-migration
Use when migrating NuxtHub projects or when user mentions NuxtHub Admin sunset, GitHub Actions deployment removal, self-hosting NuxtHub, or upgrading to v0.10/nightly. Covers v0.9.X self-hosting (stable) and v0.10/nightly multi-cloud.
book-metrics-generator
This skill generates comprehensive metrics reports for intelligent textbooks built with MkDocs Material, analyzing chapters, concepts, glossary terms, FAQs, quiz questions, diagrams, equations, MicroSims, word counts, and links. Use this skill when working with an intelligent textbook project that needs quantitative analysis of its content, typically after significant content development or for project status reporting. The skill creates two markdown files - book-metrics.md with overall statistics and chapter-metrics.md with per-chapter breakdowns - in the docs/learning-graph/ directory.
learning-graph-generator
Generates a comprehensive learning graph from a course description, including 200 concepts with dependencies, taxonomy categorization, and quality validation reports. Use this when the user wants to create a structured knowledge graph for educational content.
microsim-utils
Utility tools for MicroSim management including quality validation, screenshot capture, icon management, and index page generation. Routes to the appropriate utility based on the task needed.
faq-generator
This skill generates a comprehensive set of Frequently Asked Questions (FAQs) from the course description, course content, learning graphs, concept lists, MicroSims, and glossary terms to help students understand common questions and prepare content for chatbot integration. Use this skill after course description, learning graph, glossary, and at least 30% of chapter content exist.
book-chapter-generator
This skill generates a structured chapter outline for intelligent textbooks by analyzing course descriptions, learning graphs, and concept dependencies. Use this skill after the learning graph has been created and before generating chapter content, to design an optimal chapter structure that respects concept dependencies and distributes content evenly across all of the chapter in a book.
book-installer
Installs and configures project infrastructure including MkDocs Material intelligent textbook templates, learning graph viewers, and skill tracking systems. Routes to the appropriate installation guide based on what the user needs to set up.
chapter-content-generator
This skill generates comprehensive chapter content for intelligent textbooks after the book-chapter-generator skill has created the chapter structure. Use this skill when a chapter index.md file exists with title, summary, and concept list, and detailed educational content needs to be generated at the appropriate reading level with rich non-text elements including diagrams, infographics, and MicroSims. (project, gitignored)
course-description-analyzer
This skill analyzes or creates course descriptions for intelligent textbooks by checking for completeness of required elements (title, audience, prerequisites, topics, Bloom's Taxonomy outcomes) and providing quality scores with improvement suggestions. Use this skill when working with course descriptions in /docs/course-description.md that need validation or creation for learning graph generation.
diagram-reports-generator
This skill generates comprehensive diagram and MicroSim reports for the geometry course by analyzing chapter markdown files and creating table and detail reports. Use this skill when working with an intelligent textbook (specifically geometry-course) that needs updated visualization of all diagrams and MicroSims across chapters, including their status, difficulty, Bloom's Taxonomy levels, and UI complexity.
glossary-generator
This skill automatically generates a comprehensive glossary of terms from a learning graph's concept list, ensuring each definition follows ISO 11179 metadata registry standards (precise, concise, distinct, non-circular, and free of business rules). Use this skill when creating a glossary for an intelligent textbook after the learning graph concept list has been finalized.
linkedin-announcement-generator
This skill generates professional LinkedIn announcement text for intelligent textbooks by analyzing book metrics, chapter content, and learning resources to create engaging posts with key statistics, hashtags, and links to the published site. Use this skill when you need to create social media announcements about textbook completion or major milestones.
microsim-generator
Creates interactive educational MicroSims using the best-matched JavaScript library (p5.js, Chart.js, Plotly, Mermaid, vis-network, vis-timeline, Leaflet, Venn.js). Analyzes user requirements to route to the appropriate visualization type and generates complete MicroSim packages with HTML, JavaScript, CSS, documentation, screen capture, and metadata.
moving-rainbow
Generate MicroPython programs for the Moving Rainbow LED strip educational project using Raspberry Pi Pico with NeoPixel strips and button controls.
quiz-generator
This skill generates interactive multiple-choice quizzes for each chapter of an intelligent textbook, with questions aligned to specific concepts from the learning graph and distributed across Bloom's Taxonomy cognitive levels to assess student understanding effectively. Use this skill after chapter content has been written and the learning graph exists.
readme-generator
This skill creates or updates a README.md file in the GitHub home directory of the current project. The README.md file it generates will conform to GitHub best practices, including badges, project overview, site metrics, getting started instructions, and comprehensive documentation.
reference-generator
This skill generates curated, high-quality reference lists for textbooks with 10 references per chapter. References prioritize Wikipedia for reliability, include detailed relevance descriptions, and are stored in separate references.md files for token efficiency. Use this skill when working with intelligent textbooks that need academic references.
story-generator
This skill generates graphic novel narratives about physicists and scientists for intelligent textbooks. It creates compelling, historically-accurate stories with image prompts designed for high school students. Use this skill when the user wants to add a new scientist story to the Physics History Graphic Novels section of an MkDocs Material textbook, or when creating educational graphic novel content about historical scientists.
ai-image-generator
使用 ModelScope 等平台生成 AI 图像。当用户需要生成图像、设计图标、创建角色立绘，或需要帮助编写 AI 绘画提示词时使用此技能。支持直接生成图像和仅优化提示词两种模式。
funsloth-runpod
Training manager for RunPod GPU instances - configure pods, launch training, monitor progress, retrieve checkpoints
funsloth-check
Validate datasets for Unsloth fine-tuning. Use when the user wants to check a dataset, analyze tokens, calculate Chinchilla optimality, or prepare data for training.
funsloth-hfjobs
Training manager for Hugging Face Jobs - launch fine-tuning on HF cloud GPUs with optional WandB monitoring
funsloth-upload
Generate comprehensive model cards and upload fine-tuned models to Hugging Face Hub with professional documentation
funsloth-local
Training manager for local GPU training - validate CUDA, manage GPU selection, monitor progress, handle checkpoints
funsloth-train
Generate Unsloth training notebooks and scripts. Use when the user wants to create a training notebook, configure fine-tuning parameters, or set up SFT/DPO/GRPO training.
ux-waiting-audit
Audit UX waiting states for web applications with long-running operations (30+ seconds). Use when asked to evaluate, audit, or analyze a product's loading states, wait times, progress indicators, or user experience during slow operations. Requires browser automation (Chrome MCP tools). Generates comprehensive reports with screenshots, checklist evaluation, and prioritized recommendations.
deep-research
Conduct comprehensive, multi-source research on any topic using the 7-phase Deep Research protocol with Graph of Thoughts. Use when user needs thorough research with verified claims, citations, and source triangulation. Triggers on "deep research [topic]", "research [topic] thoroughly", "I need comprehensive research on...", or "investigate [topic]".
Prometheus Analysis
This skill should be used when the user asks to "query Prometheus", "analyze Prometheus metrics", "check Prometheus alerts", "write PromQL", "interpret Prometheus data", "fetch metrics", or mentions Prometheus querying, alerting, or metrics analysis. Provides guidance for querying and interpreting Prometheus metrics for root cause analysis.
Root Cause Analysis Methodology
This skill should be used when the user asks to "perform root cause analysis", "investigate production issue", "analyze incident", "find root cause", "debug production error", "trace the cause", or mentions investigating production problems, alerts, or outages. Provides systematic RCA methodology and investigation workflows.
Platform Integration (GitHub/GitLab)
This skill should be used when the user asks to "fetch GitHub issue", "get GitLab issue", "analyze GitHub PR", "search GitHub repo", "check GitLab commits", "use GitHub API", "use GitLab API", or mentions fetching data from GitHub or GitLab for incident investigation. Provides guidance for integrating with GitHub and GitLab APIs for RCA.
Git Investigation
This skill should be used when the user asks to "use git blame", "check git history", "find git commits", "use git log", "use git diff", "use git bisect", "trace code changes", "find who changed this code", or mentions using git commands for investigating code history and changes during root cause analysis.
fecfile
Analyze FEC (Federal Election Commission) campaign finance filings. Use when working with FEC filing IDs, campaign finance data, contributions, disbursements, or political committee financial reports. Provides the proper workflow for the fec-api MCP tools (search_committees, get_filings).
address-merge-conflict
Gives guidelines for addressing a Git merge conflict with user intervention. Do not invoke unless user asks.
explain-code
>
high-density-writing-style
>
mermaid-diagrams
>
plan-mode
Guidelines for Plan Mode. Use for simple tasks only
analyse-pr
Analyse a pull request
coding-practices
>
ralph-execute-via-subagent
A "ralph loop" iterates through a plan in a ticket-by-ticket basis. Use this when use *specifically* asks for a "ralph loop".
execute-plan
Execute a plan
plan-refine
Refine a plan with subagents
Page 1249 of 1444 · 72197 results