template-skill
Replace with description of the skill and when Claude should use it.
theme-factory
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
youtube-downloader
Download YouTube videos with customizable quality and format options. Use this skill when the user asks to download, save, or grab YouTube videos. Supports various quality settings (best, 1080p, 720p, 480p, 360p), multiple formats (mp4, webm, mkv), and audio-only downloads as MP3.
webapp-testing
Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
ai-paper-reader
深度解析 AI 论文，生成可直接发布的专业阅读笔记
artifacts-builder
Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.
brand-guidelines
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
canvas-design
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
changelog-generator
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
competitive-ads-extractor
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
create-agent-skills
Expert guidance for creating, writing, building, and refining Claude Code Skills. Use when working with SKILL.md files, authoring new skills, improving existing skills, or understanding skill structure and best practices.
create-hooks
Expert guidance for creating, configuring, and using Claude Code hooks. Use when working with hooks, setting up event listeners, validating commands, automating workflows, adding notifications, or understanding hook types (PreToolUse, PostToolUse, Stop, SessionStart, UserPromptSubmit, etc).
create-meta-prompts
Create optimized prompts for Claude-to-Claude pipelines with research, planning, and execution stages. Use when building prompts that produce outputs for other prompts to consume, or when running multi-stage workflows (research -> plan -> implement).
create-plans
Create hierarchical project plans optimized for solo agentic development. Use when planning projects, phases, or tasks that Claude will execute. Produces Claude-executable plans with verification criteria, not enterprise documentation. Handles briefs, roadmaps, phase plans, and context handoffs.
create-slash-commands
Expert guidance for creating Claude Code slash commands. Use when working with slash commands, creating custom commands, understanding command structure, or learning YAML configuration.
create-subagents
Expert guidance for creating, building, and using Claude Code subagents and the Task tool. Use when working with subagents, setting up agent configurations, understanding how agents work, or using the Task tool to launch specialized agents.
debug-like-expert
Deep analysis debugging mode for complex issues. Activates methodical investigation protocol with evidence gathering, hypothesis testing, and rigorous verification. Use when standard troubleshooting fails or when issues require systematic root cause analysis.
build-iphone-apps
Build professional native iPhone apps in Swift with SwiftUI and UIKit. Full lifecycle - build, debug, test, optimize, ship. CLI-only, no Xcode. Targets iOS 26 with iOS 18 compatibility.
build-macos-apps
Build professional native macOS apps in Swift with SwiftUI and AppKit. Full lifecycle - build, debug, test, optimize, ship. CLI-only, no Xcode.
work-with-justfiles
Guidance for structuring and organizing justfiles. Use when creating, editing, or discussing justfile organization, command grouping, or repo CLI conventions.
testing-anti-patterns
This skill should be used when reviewing test code, the user asks "is this test good", "test quality", "mock properly", or when tests behave unexpectedly. Identifies common testing mistakes.
verification-before-completion
This skill should be used when claiming a task is "done", "complete", "finished", "fixed", "passing", or before committing. Requires running verification commands before making success claims.
app-design-architect
Design screens and navigation using Apple HIG patterns and components
app-design-discover
Define app goals and prioritize features for iOS/iPadOS/macOS
app-design-refactor
Redesign an app whose goals/features are solid but design layer needs rework
app-design-validate
Validate App design specs against actual Swift/SwiftUI code to find compliance gaps
app-design
Full App design workflow — check progress and continue from where you left off
apple-hig
This skill should be used when designing UI for Apple platforms (iOS, iPadOS, macOS, tvOS, visionOS, watchOS). Covers choosing the right component (tab bar vs sidebar, sheet vs popover, list vs collection), applying HIG patterns (onboarding, search, settings, data entry, modality), and making visual design decisions (typography, color, layout, dark mode, motion). Activates on questions like "which navigation pattern should I use," "how should I design this screen for iPad," "what does Apple recommend for onboarding," or "check this design against HIG."
apple-engineering
End-to-end iOS/iPadOS engineering workflows grounded in Apple documentation: data modeling and persistence strategy (SwiftData/Core Data), performance optimization (Apple's 8 metrics, Instruments, MetricKit), debugging (crash/hang/memory/threading/data corruption), and refactoring existing model decisions. Reads design/ artifacts from app-design when available for richer, design-informed engineering. Use when users ask to design or revise iOS data architecture, choose persistence, profile and optimize performance, create monitoring/performance tests, diagnose app issues, or resume a structured engineering workflow that writes artifacts under engineering/.
ios-debugger-agent
Use XcodeBuildMCP to build, run, launch, and debug the current iOS project on a booted simulator. Trigger when asked to run an iOS app, interact with the simulator UI, inspect on-screen state, capture logs/console output, or diagnose runtime behavior using XcodeBuildMCP tools.
swiftui-liquid-glass
Implement, review, or improve SwiftUI features using the iOS 26+ Liquid Glass API. Use when asked to adopt Liquid Glass in new SwiftUI UI, refactor an existing feature to Liquid Glass, or review Liquid Glass usage for correctness, performance, and design alignment.
swiftui-performance-audit
Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.
swiftui-ui-patterns
Best practices and example-driven guidance for building SwiftUI views and components, including navigation hierarchies, custom view modifiers, and responsive layouts with stacks and grids. Use when creating or refactoring SwiftUI UI, designing tab architecture with TabView, composing screens with VStack/HStack, managing @State or @Binding, building declarative iOS interfaces, or needing component-specific patterns and examples.
swiftui-view-refactor
Refactor and review SwiftUI view files with strong defaults for small dedicated subviews, MV-over-MVVM data flow, stable view trees, explicit dependency injection, and correct Observation usage. Use when cleaning up a SwiftUI view, splitting long bodies, removing inline actions or side effects, reducing computed `some View` helpers, or standardizing `@Observable` and view model initialization patterns.
dev-debug-cpp
C++ debugging for segfaults, memory corruption, threading issues, and linker/ABI problems. Use when encountering crashes (exit code 139/SIGSEGV), memory leaks, data races, undefined behavior, or when debugging native Node.js addons, FFmpeg integrations, or any C++ code that crashes mysteriously.
python-performance
|
python-project
|
python-testing
|
Google Shell Style Guide
This skill should be used when the user asks to "refactor shell script", "fix bash style", "review shell code", "apply Google style guide", "improve shell script", mentions "shellcheck", or discusses bash/shell coding standards and best practices.
bootstrap-context
>
build-golden-set
>
build-observability
>
diagnose
>
expand-personalisation
>
explore-events
>
marketplace-personalisation
Use this skill whenever designing, building, debugging, reviewing, or improving a personalisation or recommendation system for a two-sided trust marketplace built on AWS Personalize — covers event tracking, dataset and schema design, two-sided matching, cold start, feedback loops, bias control, recipe selection, serving-time re-ranking, observability, and a diagnostic playbook for existing systems. Trigger even when the user does not explicitly mention "AWS Personalize" but is working on recommendations, ranking, search, homepage personalisation, or anything that matches seekers and providers across a trust-based catalog.
simple-git-worktrees
This skill should be used when the user asks to "create worktree", "remove worktree", "work in worktree", "switch to worktree", "clean up worktree", mentions "repo--branch pattern", or during plan execution when worktree isolation is needed. Documents the sibling directory worktree pattern for simple, safe git worktree workflows.
marketplace-pre-member-personalisation
Use this skill whenever designing, building, reviewing, or diagnosing the pre-member journey of a two-sided trust marketplace — from anonymous landing through onboarding, registration, and the paid-membership paywall. Covers anonymous signal inference, what pet owners specifically need to validate before paying (safety, availability, competence, effort, local cost comparison), what pet sitters specifically need to validate (opportunity, first-stay path, daily commitment, hidden costs), information-asymmetry closure, progressive profile building, social proof, conversion psychology, onboarding intent capture, identity stitching, and pre-member measurement. Every rule is grounded in published consumer-trust and decision research — Cialdini, Kahneman, Roth, Fogg, Bandura, Slovic, Nielsen Norman Group, and the Airbnb / DoorDash engineering literature. Triggers on tasks involving visitor-to-member conversion, anonymous personalisation, onboarding flow design, paywall timing, pre-member ranking, or any question about what a pet owner or pet sitter needs to see before paying. Use this skill BEFORE marketplace-personalisation and marketplace-search-recsys-planning — it covers everything that happens before the paid-member boundary.
marketplace-recsys-feature-engineering
Use this skill whenever deciding what features to extract from raw marketplace assets — listing photos, owner-entered listing metadata, sitter wizard responses — to power item-to-item (similar listings), user-to-item (homefeed ranking), or user-to-user (mutual-fit matching) recommenders in a two-sided trust marketplace. Covers asset auditing, first-principles feature decomposition from the decision the user is making, vision-feature extraction (CLIP, room-type classification, amenity detection, aesthetic and quality scoring), listing text and metadata encoding (categoricals, multi-hot amenities, H3 geo-hashing, sentence-transformer description embeddings, structured pet triples), sitter wizard design (information-gain ordering, multiple-choice over free text, genuine skippability, hard constraint versus soft preference), derived-composition patterns for i2i / u2i / u2u (precomputed ANN shelves, multi-modal fusion, two-tower affinity, symmetric mutual-fit scoring, interpretable subscores), feature quality governance (single registry, training-serving parity, coverage and drift alarms, PII scrubbing, schema versioning), and incremental value proof (one feature at a time, ablation A/B, kill reviews, exploration slice, permanent feature-free baseline). Trigger even when the user does not explicitly say "feature engineering" but is asking how to get more signal out of listing photos, listing metadata, or the sitter onboarding wizard, or how to improve i2i / u2i / u2u quality without blindly ingesting a new model.
marketplace-search-recsys-planning
Use this skill whenever planning, designing, reviewing, or improving search and recommendation systems for a two-sided trust marketplace built on OpenSearch — covers user-intent framing, product-surface architecture, index design, query understanding, retrieval strategy, ranking, search-plus-recs blending, measurement, and a dashboard-and-alerting layer for ongoing decision making. Triggers on tasks involving marketplace search, homefeeds, ranking, relevance tuning, OpenSearch query DSL, analyzers, synonyms, golden sets, NDCG, A/B testing, or diagnosing an existing retrieval system. Use this skill BEFORE marketplace-personalisation when planning new work; hand off when the diagnosed bottleneck is personalisation-specific.
Page 162 of 1445 · 72243 results