Claude Code Skills · page 128

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為使用者產生高品質的 AI 生圖、生影片、生音樂提示詞，並在需要時透過瀏覽器自動化實際送到目標平台。涵蓋 OiiOii、Kling 3.0/O-series、Seedance 2.0/2.5、Suno v5.5、Seedream 5.0/4.0、Vidu Q3、Midjourney V8.1、Flux 1.1 Pro / Kontext、Runway Gen-4.5 / Aleph、Google Veo 3.1、Ideogram 3、Nano Banana Pro、Stable Diffusion 3.5（⚠️ OpenAI Sora 2 已於 2026-04-26 停運，API 撐到 2026-09-24，預設改推 Runway/Veo/Kling）。只要使用者提到「AI 生圖」「AI 影片」「AI 音樂」「做 MV」「做 storyboard」「寫 prompt 給 XXX」「我想用 Kling/Suno/Midjourney/Runway/Veo...」「幫我操作 OiiOii / 即夢 / 可靈」「txt2img / img2video / 文生圖 / 文生影片 / 圖生影片」「角色一致性」「多鏡頭分鏡」「運鏡」「結果有瑕疵 / 不夠精緻 / 怎麼修」，或任何跟上述平台或影像/影片/音樂生成工作流相關的任務，都要用這個 skill。即使他們沒講明平台，只要任務是要餵給某個生成模型的 prompt，就用這個 skill 幫他們選對的平台、寫對的格式。

Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.

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.

Calculate priority score for bugs, issues, or tasks based on severity, impact, and likelihood. Use for bug prioritization, task ordering, or risk assessment.

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.

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.

Inline orchestration workflow for dead code detection and removal with Beads integration. Provides step-by-step phases for dead-code-hunter detection, priority-based cleanup with dead-code-remover, and verification cycles.

Analyzes code changes for bugs, security vulnerabilities, performance problems, and architectural improvements. Generates structured markdown reports with evidence-based findings tied to specific file:line references, and creates Beads tasks for tracking. Adapts review depth based on scope — from quick pre-commit checks to thorough branch reviews. Use proactively when reviewing code before commits, after implementing features, before PRs, when checking code quality, or when the user mentions "review", "check changes", "code review", "PR review", "review branch", or any code quality assessment.

Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section. Transforms your writing process from solo effort to collaborative partnership.

Inline orchestration workflow for dependency audit and updates with Beads integration. Provides step-by-step phases for dependency-auditor detection, priority-based updates with dependency-updater, and verification cycles.

Parse and validate semantic version strings from various formats. Use for extracting versions from text, validating semver compliance, or comparing version numbers.

Generate standardized conventional commit messages with Claude Code attribution. Use when creating automated commits, release commits, or any git commit requiring consistent formatting.

Generate well-formatted markdown tables from data with proper alignment and spacing. Use for report statistics, comparison tables, or summary data presentation.

Generate properly formatted TodoWrite lists for orchestrator progress tracking. Use when creating phase checklists, updating task status, or ensuring consistent todo formatting.

Guide frontend design decisions to create distinctive, creative UIs that avoid generic AI-generated aesthetics. Use when building UI components, designing layouts, selecting colors/fonts, or implementing animations.

Generate changelog entries from git commits, plan files, or structured data. Use for version releases, creating CHANGELOG.md sections, or documenting changes between versions.

Create standardized report headers with metadata for all agent-generated reports. Use when generating bug reports, security audits, dependency reports, or any worker output requiring consistent formatting.

Generate descriptive commit messages by analyzing git diffs. Use when the user asks for help writing commit messages or reviewing staged changes.

Inline orchestration workflow for automated bug detection and fixing with Beads integration. Provides step-by-step phases for bug-hunter detection, history enrichment for priority bugs, priority-based fixing with bug-fixer, and verification cycles.

Identifies high-quality leads for your product or service by analyzing your business, searching for target companies, and providing actionable contact strategies. Perfect for sales, business development, and marketing professionals.

Parse build errors, test failures, type-check output, and validation logs into structured data. Use when processing npm/pnpm output, TypeScript errors, Jest failures, or any validation command results for quality gates.

Parse git status output into structured data showing staged, modified, and untracked files. Use for pre-flight validation, checking clean working directory, or listing changed files before commits.

Extract version, dependencies, and metadata from package.json files. Use when needing project version, dependency list, or package metadata for releases, audits, or reports.

Process GitHub Issues - fetch open issues, read comments, analyze suggestions, find similar, create Beads tasks, propose fix plan

Process error logs from admin panel - fetch new errors, analyze, create tasks, fix, and mark resolved

Render templates with variable substitution using {{variable}} or ${variable} syntax. Use for generating formatted output, reports, commit messages, or any text requiring variable interpolation.

Inline orchestration workflow for code duplication detection and consolidation with Beads integration. Provides step-by-step phases for reuse-hunter detection, priority-based consolidation with reuse-fixer, and verification cycles.

Automatically rollback changes from failed workflow phases using changes log files. Use when workflows fail and need to restore previous state, including file restoration, artifact cleanup, and command reversal. Use for error recovery after failed bug fixes, security patches, or refactoring operations.

Execute quality gate validation with configurable blocking behavior. Use when running type-check, build, tests, lint, or custom validation commands in orchestrators or workers to enforce quality standards.

Inline orchestration workflow for security vulnerability detection and remediation with Beads integration. Provides step-by-step phases for security-scanner detection, priority-based fixing with vulnerability-fixer, and verification cycles.

Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes architecture diagram generation, system design patterns, tech stack decision frameworks, and dependency analysis. Use when designing system architecture, making technical decisions, creating architecture diagrams, evaluating trade-offs, or defining integration patterns.

Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.

World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.

Install and configure Knip for dead code detection. Use before running dead-code-hunter or dependency-auditor to ensure Knip is available. Handles installation, configuration creation, and validation.

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes