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)

gpt-image-skill

Generate or edit images using OpenAI's GPT Image models (gpt-image-2, gpt-image-1, etc).

Triggered by: "gpt image", "openai image", "generate image with openai", "draw image", "AI绘图", "画图"

Key Features:

• Image generation with multiple models (gpt-image-2, gpt-image-1.5, gpt-image-1, gpt-image-1-mini)
• Image editing with up to 3 reference images
• Multiple sizes (square, portrait, landscape, auto)
• Quality control (auto, high, medium, low)
• Transparent background support
• Multiple output formats (png, jpeg, webp)

Requirements:

• OPENAI_API_KEY configured in ~/.gpt-image.env or exported
• Python3 with openai, Pillow (install via pip install -r requirements.txt in the skill 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)

deep-research

Multi-agent orchestration workflow for deep research. Decomposes research goals into parallel sub-objectives, spawns claude -p sub-processes, aggregates results, and delivers polished reports.

Triggered by: "深度调研", "deep research", "wide research", "multi-agent research", or systematic research needs

Key Features:

• Multi-agent orchestration: Splits research goals into parallel sub-tasks executed via claude -p
• Skills-first approach: Prioritizes installed skills, then MCP tools (firecrawl → exa), then WebFetch/WebSearch
• Structured delivery: Produces file-based reports with executive summaries, not chat messages
• Chapter-by-chapter refinement: Iterative polishing with source verification
• Comprehensive logging: Dispatcher logs, per-task logs, raw data caching
• Scale-aware execution: Micro (1-2 tasks) to large (15+) with appropriate parallelization

Use Cases:

• Systematic web/document research
• Competitive/industry analysis
• Batch URL/dataset processing
• Long-form writing with evidence integration

Directory Structure:

.research/<name>/
├── prompts/           # Sub-task prompts
├── child_outputs/     # Sub-process outputs
├── logs/              # Execution logs
├── raw/               # Cached raw data
└── final_report.md    # Polished deliverable

Usage:

You: "深度调研一下 AI Agent 框架的现状"
Claude: [Initiates reconnaissance, proposes sub-objectives, waits for confirmation, then orchestrates parallel research]

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]

reflection

Analyze development sessions, capture learnings, and improve Claude Code instructions. Supports two modes:

• Quick mode (/reflection): Analyzes chat history to identify and implement CLAUDE.md improvements
• Deep mode (/reflection deep): Comprehensive session analysis covering problems solved, patterns, user preferences, system understanding, and knowledge gaps

eureka

Capture technical breakthroughs and transform them into actionable, reusable documentation. Creates structured breakthrough files in breakthroughs/ with problem/insight/implementation/impact sections and maintains a searchable index.

Usage:

You: "/eureka Reduced API response time from 2s to 100ms by implementing request batching"
Claude: [Creates breakthroughs/2025-01-15-api-request-batching.md, updates INDEX.md]

translate

Translate English or Japanese tech articles into natural, fluent Chinese using a three-step process (direct translation, issue identification, reinterpretation). Preserves Markdown formatting and keeps technical terms and brand names untranslated.

Usage:

You: "/translate [paste text or provide file path]"
Claude: [Outputs polished Chinese translation]

command-creator

Create Claude Code custom slash commands with proper structure, frontmatter, and best practices.

github-fix-issue

Fix GitHub issues from analysis through branch creation, implementation, testing, and PR submission.

github-review-pr

Review GitHub pull requests with detailed, multi-perspective code analysis using parallel subagents with confidence scoring and false positive filtering.

skill-creator

Create, refine, and benchmark agent skills with iterative evaluation loops, quantitative metrics, and description optimization.

• 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-4.6"
    },
    {
      "name": "ANTHROPIC_DEFAULT_OPUS_MODEL",
      "value": "claude-opus-4.6"
    },
    {
      "name": "ANTHROPIC_DEFAULT_HAIKU_MODEL",
      "value": "gpt-5-mini"
    },
    {
      "name": "DISABLE_TELEMETRY",
      "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)
}