Analysis & Reflection

• /think-harder [problem] - Enhanced analytical thinking
• /think-ultra [complex problem] - Ultra-comprehensive analysis
• /reflection - Analyze and improve Claude Code instructions
• /reflection-harder - Comprehensive session analysis and learning
• /eureka [breakthrough] - Document technical breakthroughs

GitHub Integration

• /gh:review-pr [PR_NUMBER] - Comprehensive PR review and comments
• /gh:fix-issue [issue-number] - Complete issue resolution workflow

Documentation & Knowledge

• /cc:create-command [name] [description] - Create new Claude Code commands

Utilities

• /translate [text] - Translate English/Japanese tech content to Chinese

codex-skill

Non-interactive automation mode for hands-off task execution using OpenAI Codex. Use when you want to leverage codex, gpt-5, or gpt-5.1 to implement features or plans designed by Claude.

Installation:

/plugin marketplace add feiskyer/claude-code-settings
/plugin install codex-skill

Key Features:

• Multiple execution modes (read-only, workspace-write, danger-full-access)
• Model selection support (gpt-5, gpt-5.1, gpt-5.1-codex, etc.)
• Autonomous execution without approval prompts
• JSON output support for structured results
• Resumable sessions

Requirements: Codex CLI installed (npm i -g @openai/codex or brew install codex)

autonomous-skill

Execute complex, long-running tasks across multiple sessions using a dual-agent pattern (Initializer + Executor) with automatic session continuation.

Installation:

/plugin marketplace add feiskyer/claude-code-settings
/plugin install autonomous-skill

Key Features:

• Dual-agent pattern (Initializer creates a task list, Executor completes tasks)
• Auto-continuation across sessions with progress tracking
• Task isolation with per-task directories (.autonomous/<task-name>/)
• Progress persistence via task_list.md and progress.md
• Headless mode execution using Claude CLI

Usage:

You: "Please use autonomous skill to build a REST API for a todo app"
Claude: [Creates .autonomous/build-rest-api-todo/, initializes task list, starts execution]

Requirements: Claude CLI installed

nanobanana-skill

Generate or edit images using Google Gemini API via nanobanana. Use when creating, generating, or editing images.

Installation:

/plugin marketplace add feiskyer/claude-code-settings
/plugin install nanobanana-skill

Key Features:

• Image generation with various aspect ratios
• Image editing capabilities
• Multiple model options (gemini-3-pro-image-preview, gemini-2.5-flash-image)
• Resolution options (1K, 2K, 4K)
• Support for various aspect ratios (square, portrait, landscape, ultra-wide)

Requirements:

• GEMINI_API_KEY configured in ~/.nanobanana.env
• Python3 with google-genai, Pillow, python-dotenv (install via pip install -r requirements.txt in the plugin directory)

youtube-transcribe-skill

Extract subtitles/transcripts from a YouTube video link.

Installation:

/plugin marketplace add feiskyer/claude-code-settings
/plugin install youtube-transcribe-skill

Key Features:

• Dual extraction methods: CLI (fast) and Browser Automation (fallback)
• Automatic subtitle language selection (zh-Hans, zh-Hant, en)
• Efficient DOM-based extraction for browser method
• Saves transcripts to local text files

Requirements:

• yt-dlp (for CLI method)
• or chrome-devtools-mcp (for browser automation method)

kiro-skill

Interactive feature development workflow from idea to implementation.

Triggered by: "kiro", or references to .kiro/specs/ directory

Installation:

/plugin marketplace add feiskyer/claude-code-settings
/plugin install kiro-skill

Workflow:

1. Requirements → Define what needs to be built (EARS format with user stories)
2. Design → Determine how to build it (architecture, components, data models)
3. Tasks → Create actionable implementation steps (test-driven, incremental)
4. Execute → Implement tasks one at a time

Usage:

You: "I need to create a kiro feature spec for user authentication"
Claude: [Automatically uses kiro-skill]

spec-kit-skill

GitHub Spec-Kit integration for constitution-based spec-driven development.

Triggered by: "spec-kit", "speckit", "constitution", "specify", or references to .specify/ directory

Installation:

/plugin marketplace add feiskyer/claude-code-settings
/plugin install spec-kit-skill

Prerequisites:

# Install spec-kit CLI
uv tool install specify-cli --from git+https://github.com/github/spec-kit.git

# Initialize project
specify init . --ai claude

7-Phase Workflow:

1. Constitution → Establish governing principles
2. Specify → Define functional requirements
3. Clarify → Resolve ambiguities (max 5 questions)
4. Plan → Create technical strategy
5. Tasks → Generate dependency-ordered tasks
6. Analyze → Validate consistency (read-only)
7. Implement → Execute implementation

Usage:

You: "Let's create a constitution for this project"
Claude: [Automatically uses spec-kit-skill, detects CLI, guides through phases]

• pr-reviewer - Expert code reviewer for GitHub pull requests
• github-issue-fixer - GitHub issue resolution specialist
• instruction-reflector - Analyzes and improves Claude Code instructions
• deep-reflector - Comprehensive session analysis and learning capture
• insight-documenter - Technical breakthrough documentation specialist
• ui-engineer - UI/UX development specialist
• command-creator - Expert at creating new Claude Code custom commands

copilot-settings.json

Using Claude Code with GitHub Copilot proxy. Points to localhost:4141 for the Anthropic API base URL.

litellm-settings.json

Using Claude Code with LiteLLM gateway. Points to localhost:4000 for the Anthropic API base URL.

deepseek-settings.json

Using Claude Code with DeepSeek v3.1 (via DeepSeek's official Anthropic-compatible API).

qwen-settings.json

Using Claude Code with Qwen models via Alibaba's DashScope API. Uses the Qwen3-Coder-Plus model through a claude-code-proxy.

siliconflow-settings.json

Using Claude Code with SiliconFlow API. Uses the Moonshot AI Kimi-K2-Instruct model.

vertex-settings.json

Using Claude Code with Google Cloud Vertex AI. Uses Claude Opus 4 model with Google Cloud project settings.

azure-settings.json

Configuration for using Claude Code with Azure AI (Anthropic-compatible endpoint). Points to Azure AI services endpoint.

azure-foundry-settings.json

Configuration for using Claude Code with Azure AI Foundry native mode. Uses CLAUDE_CODE_USE_FOUNDRY flag with Claude Opus 4.1 + Sonnet 4.5 model.

minimax.json

Configuration for using Claude Code with MiniMax API. Uses the MiniMax-M2 model.

openrouter-settings.json

Using Claude Code with OpenRouter API. OpenRouter provides access to many models through a unified API. Note: ANTHROPIC_API_KEY must be blank while ANTHROPIC_AUTH_TOKEN contains your OpenRouter API key.

For Claude Code 2.0+ extension in VSCode, if you're not using a Claude.ai subscription, please put the environment variables manually in your vscode settings.json:

{
  "claude-code.environmentVariables": [
    {
      "name": "ANTHROPIC_BASE_URL",
      "value": "http://localhost:4000"
    },
    {
      "name": "ANTHROPIC_AUTH_TOKEN",
      "value": "sk-dummy"
    },
    {
      "name": "ANTHROPIC_MODEL",
      "value": "opusplan"
    },
    {
      "name": "ANTHROPIC_DEFAULT_SONNET_MODEL",
      "value": "claude-sonnet-4.5"
    },
    {
      "name": "ANTHROPIC_DEFAULT_OPUS_MODEL",
      "value": "claude-opus-4"
    },
    {
      "name": "ANTHROPIC_DEFAULT_HAIKU_MODEL",
      "value": "gpt-5-mini"
    },
    {
      "name": "DISABLE_NON_ESSENTIAL_MODEL_CALLS",
      "value": "1"
    },
    {
      "name": "DISABLE_TELEMETRY",
      "value": "1"
    },
    {
      "name": "CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC",
      "value": "1"
    }
  ]
}

Note that the contents of ~/.claude/config.json are also required to skip claude.ai login.

Ensure the API key you configured in ANTHROPIC_AUTH_TOKEN is added to approved API key in ~/.claude.json, e.g.

{
  "customApiKeyResponses": {
    "approved": [
      "sk-dummy"
    ],
    "rejected": []
  },
  ... (your other settings)
}