Skills
100,928 packaged capabilities and playbooks for agents. Install any of them with one command.
All
Enable next-intl-based i18n in the shop template — locale-prefixed URLs, per-locale message catalogs, and a locale switcher. Use when the user wants "locale URLs", "multi-language", or "i18n" without Shopify Markets integration. For full Shopify Markets multi-region commerce (region-aware pricing, inventory, payments), use `enable-shopify-markets` instead — this skill is the routing/i18n layer only.
Design a minimal, decision-relevant experiment with fair baselines, explicit controls, and measurable success criteria — and diagnose a training run that has already gone wrong. Use before large-scale implementation or expensive training (benchmarking, hyperparameter sweeps, large-model training, or whenever a research claim requires rigorous empirical validation), and also when a run misbehaves — "my loss diverged", "training collapsed", "the model won't overfit a tiny batch", "these gains look too good", "is this data leakage", "which hyperparameter should I try next", "how do I summarize these runs into a decision", or "is more data/compute still buying anything" (fit that with the bundled scripts/fit_scaling_law.py rather than eyeballing a log-log plot).
A tool for detecting and exploiting arbitrary file download and local file inclusion (LFI) vulnerabilities. Use curl, ffuf, wget and similar tools to test file download vulnerabilities, supporting path traversal, wrapper protocol exploitation, and sensitive file reading. Use this skill when the user needs to test file download functionality, detect LFI vulnerabilities, or read sensitive files on a server.
Local File Inclusion (LFI) vulnerability detection and exploitation tool. Uses tools such as curl and ffuf to test for LFI vulnerabilities, supporting path traversal, PHP wrapper exploitation, log poisoning RCE, and sensitive file reads. Use this skill when the user needs to detect LFI vulnerabilities or exploit file inclusion flaws to read server files.
Perform comprehensive exploratory data analysis on scientific data files across 200+ file formats. This skill should be used when analyzing any scientific data file to understand its structure, content, quality, and characteristics. Automatically detects file type and generates detailed markdown reports with format-specific analysis, quality metrics, and downstream analysis recommendations. Covers chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and general scientific data formats.
Complete fal.ai text-to-image system. PROACTIVELY activate for: (1) FLUX.1/2 Pro/Dev/Schnell generation, (2) SDXL and Fast SDXL, (3) Image size presets (square_hd, landscape_16_9), (4) Guidance scale and inference steps, (5) LoRA model application, (6) Seed for reproducibility, (7) Batch generation (num_images), (8) Ideogram for text in images, (9) Recraft for design assets. Provides: Model endpoints, parameter reference, prompt engineering, quality vs speed trade-offs. Ensures optimal text-to-image generation.
A complete teaching course on creating hit short stories for Fanqie Novels. Covers the platform's creative methodology, including understanding platform algorithms, writing titles and intros, generating premises, AI-assisted workflows, polishing to remove AI flavor, monetization across platforms, and overseas expansion. Use when a user wants to learn Fanqie Novels writing, improve short-story writing skills, diagnose problems in a work, generate hit titles, intros, and outlines, remove AI flavor, or learn about overseas monetization.
Executes Fastly CLI commands for managing CDN services, Compute deploys, and edge infrastructure. Use when running `fastly` CLI commands, creating or managing Fastly services from the terminal, deploying Fastly Compute applications, managing backends/domains/VCL snippets via command line, purging cache, configuring log streaming, setting up TLS certificates, managing KV/config/secret stores, checking service stats, authenticating with Fastly SSO, or working with fastly.toml. Also applies when working with Fastly service IDs in CLI context, or with `fastly service`, `fastly compute`, `fastly auth`, or any Fastly CLI subcommand. Covers service CRUD, version management, autocloning, and troubleshooting common CLI errors.
Complete browser-based FFmpeg system. PROACTIVELY activate for: (1) ffmpeg.wasm setup and loading, (2) Browser video transcoding, (3) React/Vue/Next.js integration, (4) SharedArrayBuffer and COOP/COEP headers, (5) Multi-threaded ffmpeg-core-mt, (6) Cloudflare Workers limitations, (7) Custom ffmpeg.wasm builds, (8) Memory management and cleanup, (9) Progress tracking and UI, (10) IndexedDB core caching. Provides: Framework-specific examples, header configuration, common operation recipes, performance optimization, troubleshooting guides. Ensures: Client-side video processing without server dependencies.
Provides comprehensive guidance for Figma design tool including design creation, components, prototyping, collaboration, and design systems. Use when the user asks about Figma, needs to create designs, work with Figma components, or collaborate on design projects.
Build interfaces using Microsoft's Fluent 2 design system via @fluentui/react-components (v9). Use when the user requests UI built with Fluent UI, Fluent 2, Microsoft design language, Teams-style UI, or Office-style interfaces. Covers: React component usage, theming with FluentProvider, styling with makeStyles/tokens/Griffel, design token application, layout patterns, typography, color system, accessibility, dark/light/high-contrast themes, and custom branding. Also triggers for: "make it look like Teams/Outlook/Office", "use Fluent", "Microsoft design system", "@fluentui", or any request to build UI that follows Microsoft's design language. Do NOT use for Fluent UI v8 (@fluentui/react) unless migrating to v9.
Plan, execute, or review Flutter and Dart SDK upgrades, dependency resolution, lockfile changes, package breaking changes, and compatible native toolchain migrations. Use when versions or compatibility are the task; route ordinary Dart refactoring to dart-language, security audits to flutter-security, and release artifacts to flutter-build-release
Implement, repair, or review Flutter purchases of digital goods and subscriptions through app stores, including catalog, transaction updates, verification, entitlements, acknowledgement, consumption, restoration, and sandbox testing. Use for App Store or Google Play billing; not for physical-goods checkout, advertising, or generic payment forms
Executive coaching for startup founders based on methodologies from world-class coaches: Bill Campbell, Jerry Colonna, Marshall Goldsmith, Ben Horowitz, Fred Kofman, and Matt Mochary. Use this skill to: (1) Coach the founder through difficult decisions, team issues, or strategic challenges (2) Provide support during moments of doubt, overwhelm, or imposter syndrome (3) Guide leadership development and personal growth conversations (4) Help navigate co-founder conflicts, board dynamics, or hard conversations (5) Proactively offer coaching when the founder seems stuck, stressed, or avoiding a decision Invoke with /founder-coach or when you detect the founder wrestling with a challenge that would benefit from coaching.
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 (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics
Zhang Xuefeng college application advisor AI. Uses Zhang Xuefeng's way of speaking and thinking to eliminate the information gap in college application for ordinary families. Core framework: city > school > major; employment-based backcasting; four-step decision process (feasible set → backcast from goals → correction for the AI era → three方案: reach, match, safety). Covers: major selection, college recommendations, employment prospects, subject selection under the new gaokao, university planning, and risk correction for the AI era. Install: npx skills add eric-yibo-shen/zhangxuefeng
Generate images with Gemini 3 Pro Image (Nano Banana Pro). Covers 4K generation, text rendering, grounded generation with Google Search, conversational editing, and cost optimization. Use when creating images, generating 4K images, editing images conversationally, fact-verified image generation, or image output tasks.
This skill should be used when the user asks to "generate an icon", "create a favicon", "make an app icon", "create iOS icon", "create Android icon", "generate PWA icons", "make desktop app icon", "create Windows icon", "create macOS icon", "app store icon", "Play Store icon", "App Store icon", or needs AI-generated icons with platform-specific sizing.
Generate or edit images using the OpenAI Image API (gpt-image-2). Use when the user asks to generate, create, draw, render, illustrate, mock up, or edit an image, icon, logo, mockup, illustration, OG image, blog hero, marketing asset, or similar visual. Also use when the user supplies a reference image and asks to modify, restyle, or remix it. Triggers on: "generate an image", "create an image", "make a picture of", "edit this image", "restyle this", "make a mockup of", "draw a", "render a", "illustration of".
Handles the Genie Editor host-side client integration workflow, including adjusting panel editable items, page-level attribute aggregation, multi-option design comparisons and option switching, and completing page resource context and locator information. Use when the user wants to make an element or page editable in the adjustment panel, organize editable items per page uniformly, produce multiple directions first and then switch to compare them, or fill in page locator information to quickly find the current page and its implementation during debugging.
Provides geospatial and Earth observation workflows using GeoPandas, Rasterio, GDAL, Xarray, Shapely, Laspy, PDAL, Google Earth Engine, and STAC/Planetary Computer, covering Sentinel, Landsat, MODIS, SAR and hyperspectral imagery, spectral indices, terrain and network analysis, point clouds, COGs, CRS handling, and spatial ML, with code in Python, R, Julia, JavaScript, C++, Java, Go, and Rust. Use when computing NDVI or other indices from satellite imagery, when running vector overlays, reprojection, or spatial statistics on shapefiles, GeoJSON, or GeoPackage data, when searching STAC catalogs and reading cloud-optimized GeoTIFFs, when classifying land cover or training ML models on Earth observation data, or when doing terrain, hydrology, or point cloud analysis. Not for general non-spatial data analysis or tabular ML.
Master advanced Git workflows—including rebasing, cherry-picking, bisect, worktrees, and reflog—to maintain clean history and recover from any situation. Use when managing complex Git histories, collaborating on feature branches, or troubleshooting repository issues.
Set up Claude Code hooks that intercept dangerous Git commands (push, reset --hard, clean, branch -D, etc.) before they run. Use when the user wants to prevent destructive Git operations, add Git safety hooks, or block git push/reset in Claude Code.
Push a project to GitHub, automatically choosing between three modes: first push (large file scan → generate .gitignore → git init → create repo with gh → push), routine update (commit + push), and release (tag + create Release, optionally with downloadable files). The core principle is safety first: always scan for large and sensitive files before pushing, and ask rather than push anything that should not be pushed. Triggered when the user says "推到GitHub", "推送到GitHub", "git push", "上传到GitHub", "提交并推送", "发版本", "打release", "打tag", "/git-push". Not applicable to: deciding which features go into which version number (use issue-pool — this skill only tags an already-decided version number), complex git operations such as rebase/cherry-pick/conflict resolution/history rewriting/rollback (use git commands directly; this skill does not cover them), or self-testing and acceptance before the code is finished.
Use whenever invoking the GitHits CLI for open-source code, documentation, or example evidence, including code search/grep, file navigation, source verification, docs lookup, source-cited research answers, or code examples from projects across open source. For GitHits CLI package, dependency, security, release, or upgrade evidence, use githits-package.
Create production-ready GitHub Actions workflows for automated testing, building, and deploying applications. Use when setting up CI/CD with GitHub Actions, automating development workflows, or creating reusable workflow templates.
Build GitLab CI/CD pipelines with multi-stage workflows, caching, and distributed runners for scalable automation. Use when implementing GitLab CI/CD, optimizing pipeline performance, or setting up automated testing and deployment.
Implement GitOps workflows with ArgoCD and Flux for automated, declarative Kubernetes deployments with continuous reconciliation. Use when implementing GitOps practices, automating Kubernetes deployments, or setting up declarative infrastructure management.
Comprehensive skill for interacting with Grafana's HTTP API to manage dashboards, data sources, folders, alerting, annotations, users, teams, and organizations. Use when Claude needs to (1) Create, read, update, or delete Grafana dashboards, (2) Manage data sources and connections, (3) Configure alerting rules, contact points, and notification policies, (4) Work with folders and permissions, (5) Manage users, teams, and service accounts, (6) Create or query annotations, (7) Execute queries against data sources, or any other Grafana automation task via API.
Turn hand-made first-50 traction into self-reinforcing acquisition loops, so the next 5,000 users come from usage, not founder hours. Use when growth stalls the moment the user stops pushing, every signup traces back to a DM or one launch spike, or they're reaching for "more channels" when the real gap is that using the product creates no new users.
Build or review React Router v7/v8 animation in framework, data, or declarative mode: GSAP page transitions, component enter/exit, scroll effects, useBlocker, route reuse, and cleanup. Use even when GSAP is unnamed, including choosing viewTransition. Also covers hidden-content recovery and first-load performance. Not for Next.js, TanStack Router, React without routing, or isolated GSAP API questions.
Plain-language fix guide for failing GTM tests. Use when tests have failed and the developer needs step-by-step instructions to fix each issue. Reads gtm-test-results.json and writes a fix guide in plain English - no GTM expertise required to follow. No API calls. Trigger on - "fix guide", "how do I fix failing tests", "tests failing", "gtm test failures", "fix my tracking", "what broke".
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.