Generate walkthrough videos from Stitch projects using Remotion with smooth transitions, zooming, and text overlays
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Generate walkthrough videos from Stitch projects using Remotion with smooth transitions, zooming, and text overlays
Unified entry point for Stitch design work. Handles prompt enhancement (UI/UX keywords, atmosphere), design system synthesis (.stitch/DESIGN.md), and high-fidelity screen generation/editing via Stitch MCP.
Google Tasks: Manage task lists and tasks.
Automatically share skills, migrate local skills to code repositories, open source skills, skill version management, configure git remote
Write follow-up emails that re-engage without being annoying. Uses proven psychology for follow-up sequences. 42% of replies come from follow-ups.
Batteries-included agent component from [ui.inference.sh](https://ui.inference.sh).
Create AI marketing videos for ads, promos, product launches, and brand content. Models: Veo, Seedance, Wan, FLUX for visuals, Kokoro for voiceover. Types: product demos, testimonials, explainers, social ads, brand videos. Use for: Facebook ads, YouTube ads, product launches, brand awareness. Triggers: marketing video, ad video, promo video, commercial, brand video, product video, explainer video, ad creative, video ad, facebook ad video, youtube ad, instagram ad, tiktok ad, promotional video, launch video
Chat building blocks from [ui.inference.sh](https://ui.inference.sh).
Product Hunt launch optimization with specific specs, timing, and gallery strategy. Covers taglines, gallery images, maker comments, and launch day tactics. Use for: product launches, startup launches, side project launches, Product Hunt optimization. Triggers: product hunt, ph launch, product hunt launch, launch strategy, product launch, startup launch, product hunt tips, product hunt gallery, ph optimization, launch day, product hunt maker
Technical blog post writing with structure, code examples, and developer audience conventions. Covers post types, code formatting, explanation depth, and developer-specific engagement patterns. Use for: engineering blogs, dev tutorials, technical writing, developer content, documentation posts. Triggers: technical blog, dev blog, engineering blog, technical writing, developer tutorial, tech post, code tutorial, programming blog, developer content, technical article, engineering post, coding tutorial, technical content
Tool lifecycle components from [ui.inference.sh](https://ui.inference.sh).
Declarative UI from JSON via [ui.inference.sh](https://ui.inference.sh).
agent-ui
ai-rag-pipeline
web-search
Retrieve up-to-date documentation for software libraries, frameworks, and components via the Context7 API. This skill should be used when looking up documentation for any programming library or framework, finding code examples for specific APIs or features, verifying correct usage of library functions, or obtaining current information about library APIs that may have changed since training.
Turn a product brief, campaign idea, or reference image into MaxArt-ready image and video prompt packs, shot lists, style directions, and creative variation plans. Use when the user wants ads, social creatives, product shots, stylized edits, text-to-image prompts, image-to-video motion plans, or reusable prompt systems intended to be rendered in MaxArt.ai.
Keeps IdeaVim documentation in sync with code changes. Use this skill when you need to verify documentation accuracy after code changes, or when checking if documentation (in doc/, README.md, CONTRIBUTING.md) matches the current codebase. The skill can work bidirectionally - from docs to code verification, or from code changes to documentation updates.
tailwind-v4-shadcn
Analyze article structure and content, identify positions requiring visual aids, and generate illustrations with flexible style options.
Generate hand-drawn style cover images for articles with multiple style options.
AI image generation with OpenAI and Google APIs. Supports text-to-image, reference images, aspect ratios, and parallel generation (recommended 4 concurrent subagents). Use when user asks to generate, create, or draw images.
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Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.
Access BRENDA enzyme database via SOAP API. Retrieve kinetic parameters (Km, kcat), reaction equations, organism data, and substrate-specific enzyme information for biochemical research and metabolic pathway analysis.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
Query Ensembl genome database REST API for 250+ species. Gene lookups, sequence retrieval, variant analysis, comparative genomics, orthologs, VEP predictions, for genomic research.
Query NCBI Gene via E-utilities/Datasets API. Search by symbol/ID, retrieve gene info (RefSeqs, GO, locations, phenotypes), batch lookups, for gene annotation and functional analysis.
Direct REST API access to KEGG (academic use only). Pathway analysis, gene-pathway mapping, metabolic pathways, drug interactions, ID conversion. For Python workflows with multiple databases, prefer bioservices. Use this for direct HTTP/REST work or KEGG-specific control.
Query STRING API for protein-protein interactions (59M proteins, 20B interactions). Network analysis, GO/KEGG enrichment, interaction discovery, 5000+ species, for systems biology.
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
A specialized skill for generating high-quality, consistent children's bilingual picture books using 'banana nano'. Supports 18 visual styles across 4 categories (7 core children's book styles, 5 atmospheric styles, 5 Chinese cultural styles, 1 specialized), 12 scenes (5 nature + 7 cultural), age-driven dynamic content system (ages 3-12), and expanded learning domains (science, math, history, psychology, etc.). Use when the user wants to create picture book stories, prompts, or learning materials.
Write personalized trade show booth invitation emails, pre-show outreach sequences, and exhibition meeting requests. Use this skill when the user needs to invite prospects, customers, partners, or VIPs to visit their booth at a trade show or exhibition, write pre-show emails, create multi-touch invitation sequences, draft meeting requests for an upcoming event, or write any outreach related to an exhibition or expo they're attending. Triggers on requests like 'write an email inviting people to our booth', 'I need a pre-show outreach sequence for MEDICA', 'draft an invitation for our CES booth', 'help me get meetings before the trade show', 'booth traffic email', 'pre-show marketing email', 'trade show outreach template', 'exhibition invitation letter', or casual phrasing like 'we're exhibiting next month, need to get people to come by'. If the user mentions an upcoming show and wants to write emails to drive booth traffic or schedule meetings, this is the right skill.
Find, compare, and research trade shows, exhibitions, expos, and industry events by vertical, region, date, or audience. Use this skill whenever the user wants to discover which trade shows exist for their industry, compare multiple events side-by-side, decide which shows are worth attending or exhibiting at, look up event dates and venues, research exhibitor counts or visitor profiles, or plan an annual trade show calendar. Also triggers on questions like 'what are the best shows for [industry]', 'when is [show name]', 'should we go to [event] or [event]', 'find me exhibitions in Germany for packaging', 'trade show calendar 2026', 'exhibition calendar Europe', 'B2B trade shows', 'what industry events should I attend', 'upcoming trade fairs', or even vague requests like 'we need to get in front of more buyers — what events should we be at'. If the user mentions any specific trade show by name (CES, MEDICA, Hannover Messe, Interpack, SXSW, Bauma, etc.) and wants information about it, use this skill.
Environment and assets sub-skill for README-first AI repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.
Optional narrow helper skill for README-first AI repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing README guidance by default.
Narrow helper skill for README-first AI repo reproduction. Use when the task is specifically to scan a repository, read the README and common project files, extract documented commands, classify inference, evaluation, and training candidates, and return the smallest trustworthy reproduction plan to the main orchestrator. Do not use for environment setup, asset download, command execution, final reporting, paper lookup, or end-to-end orchestration.
Comprehensive Mastra framework guide. Teaches how to find current documentation, verify API signatures, and build agents and workflows. Covers documentation lookup strategies (embedded docs, remote docs), core concepts (agents vs workflows, tools, memory, RAG), TypeScript requirements, and common patterns. Use this skill for all Mastra development to ensure you're using current APIs from the installed version or latest documentation.
Interview me relentlessly about every aspect of this plan until we reach a shared understanding. Walk down each branch of the design tree, resolving dependencies between decisions one-by-one. For each
**Core principle**: Tests should verify behavior through public interfaces, not implementation details. Code can change entirely; tests shouldn't.
mcp-apps-builder
Write TypeScript and JavaScript code following Metabase coding standards and best practices. Use when developing or refactoring TypeScript/JavaScript code.
gif-sticker-maker
react-native-dev
Generates complete Solana blockchain projects with Anchor framework (v0.32.1) and Next.js frontend including Rust smart contracts, tests, and wallet integration. Use when creating Solana dApps, NFT marketplaces, token programs, DAOs, DeFi protocols, or when user mentions Solana, Anchor, or blockchain projects.
Control Philips Hue lights and scenes via the OpenHue CLI.
Analyze codebases and provide technical overviews covering core components, interactions, deployment architecture, and runtime behavior. Use when the user asks for codebase analysis, project overview, technical architecture explanation, or system documentation.
Turn ideas into fully formed designs and specs through natural collaborative dialogue. Use when planning new features, designing architecture, or making significant changes to the codebase.
Analyze product screenshots to extract feature lists and generate development task checklists. Use when: (1) Analyzing competitor product screenshots for feature extraction, (2) Generating PRD/task lists from UI designs, (3) Batch analyzing multiple app screens, (4) Conducting competitive analysis from visual references.
Run Nx generators with prioritization for workspace-plugin generators. Use this when generating code, scaffolding new features, or automating repetitive tasks in the monorepo.