feat(chinese): 新增 Xcode、Kiro、Claude Code 提示词

- 新增文件总数: 86 个
- 主要目录: Xcode、Kiro、Claude Code、Amp、Anthropic、Augment Code、Cluely、CodeBuddy、Comet Assistant、Cursor Prompts、Devin AI、Emergent、Junie、Leap.new、Lovable、NotionAi、Open Source prompts(Codex CLI、Gemini CLI、Lumo)、Orchids.app、Perplexity、Poke、Qoder、Replit、Same.dev、Trae、Traycer AI、VSCode Agent、Warp.dev、Windsurf、Z.ai Code、dia、v0 Prompts and Tools
- 示例: Xcode/System.txt、Kiro/Mode_Clasifier_Prompt.txt、Claude Code/claude-code-system-prompt.txt

变更仅包含新增提示词与工具文件,不含已修改项。
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Codex CLI
2025-10-20 10:48:54 +08:00
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```
JSON SCHEMAS
1. mcp_bulk_file_writer
:
Parameters:
{
"files": {
"type": "array",
"items": {
"type": "object",
"properties": {
"path": {"type": "string", "description": "文件的绝对路径"},
"content": {"type": "string", "description": "文件的原始文本内容"}
},
"required": ["path", "content"]
}
},
"capture_logs_backend": {"type": "boolean", "default": false},
"capture_logs_frontend": {"type": "boolean", "default": false},
"status": {"type": "boolean", "default": false}
}
2. emergent_integrations_manager
: llm openai, anthropic, google Emergent LLM
Parameters: {}
3. extract_file_tool
:
Supported formats: .txt, .js, .py, .html, .css, .json, .xml, .csv, .md, .pdf, .docx, .xlsx, .pptx, .png, .jpg, .jpeg, .webp, .heic, .heif, .wav, .mp3, .mpeg, .aiff, .aac, .ogg, .flac, .mov, .mpeg, .mp4, .mpg, .avi, .wmv, .mpegps, .flv
Parameters:
{
"source": {"type": "string", "description": "直接 URL 或本地文件路径"},
"prompt": {"type": "string", "description": "要提取的具体数据"},
"headers": {"type": "object", "description": "额外的 HTTP 标头(可选)"},
"timeout": {"type": "integer", "default": 30}
}
4. ask_human
:
Parameters:
{
"question": {"type": "string", "description": "要向人类提出的问题"}
}
5. analyze_file_tool
: AI
Supported formats: extract_file_tool
Parameters:
{
"source": {"type": "string"},
"analysis_type": {"type": "string", "enum": ["general", "structure", "content", "sentiment", "security", "performance", "compliance", "custom"]},
"query": {"type": "string", "description": "具体的分析问题(可选)"},
"headers": {"type": "object"},
"timeout": {"type": "integer", "default": 30}
}
6. mcp_glob_files
: 使 glob
Parameters:
{
"pattern": {"type": "string", "description": "用于匹配文件的 glob 模式"},
"path": {"type": "string", "description": "要搜索的目录(可选)"}
}
7. execute_bash
: bash
Parameters:
{
"command": {"type": "string", "description": "要执行的 bash 命令"}
}
8. grep_tool
: 使 ripgrep
Parameters:
{
"pattern": {"type": "string", "description": "要搜索的正则表达式模式"},
"path": {"type": "string", "description": "要搜索的目录或文件"},
"case_sensitive": {"type": "boolean"},
"context_lines": {"type": "integer"},
"include": {"type": "string", "description": "要包含的文件模式"}
}
9. mcp_view_file
:
Parameters:
{
"path": {"type": "string", "description": "要查看的文件的绝对路径"},
"view_range": {"type": "array", "items": {"type": "integer"}, "description": "可选的行范围 [start, end]"}
}
10. mcp_search_replace
:
Parameters:
{
"path": {"type": "string"},
"old_str": {"type": "string", "description": "要替换的精确字符串 - 必须完全匹配"},
"new_str": {"type": "string", "description": "替换字符串"},
"replace_all": {"type": "boolean", "default": false},
"run_lint": {"type": "boolean", "default": false},
"status": {"type": "boolean", "default": false}
}
11. mcp_lint_python
: 使 ruff Python linting
Parameters:
{
"path_pattern": {"type": "string", "description": "文件/目录路径或 glob 模式"},
"fix": {"type": "boolean", "default": false},
"exclude_patterns": {"type": "array", "items": {"type": "string"}}
}
12. mcp_lint_javascript
: 使 ESLint JavaScript/TypeScript linting
Parameters:
{
"path_pattern": {"type": "string"},
"fix": {"type": "boolean", "default": false},
"exclude_patterns": {"type": "array", "items": {"type": "string"}}
}
13. mcp_create_file
:
Parameters:
{
"path": {"type": "string", "description": "新文件的绝对路径"},
"file_text": {"type": "string", "description": "新文件的内容"},
"run_lint": {"type": "boolean", "default": false}
}
14. mcp_insert_text
:
Parameters:
{
"path": {"type": "string"},
"new_str": {"type": "string"},
"insert_line": {"type": "integer", "minimum": 0},
"run_lint": {"type": "boolean", "default": false}
}
15. finish
:
Parameters:
{
"summary": {"type": "string", "description": "根据给定的输入和示例提供摘要"}
}
16. get_assets_tool
: /
Parameters: {}
17. screenshot_tool
: 使 Playwright
Parameters:
{
"page_url": {"type": "string"},
"script": {"type": "string", "description": "完整的 Python Playwright 脚本"},
"capture_logs": {"type": "boolean", "default": false}
}
18. mcp_view_bulk
:
Parameters:
{
"paths": {"type": "array", "items": {"type": "string"}, "minItems": 1, "maxItems": 20}
}
19. web_search_tool_v2
:
Parameters:
{
"query": {"type": "string"},
"search_context_size": {"type": "string", "enum": ["low", "medium", "high"]}
}
20. think
: -
Parameters:
{
"thought": {"type": "string"}
}
21. crawl_tool
:
Parameters:
{
"url": {"type": "string"},
"extraction_method": {"type": "string", "enum": ["scrape"]},
"formats": {"type": "string", "enum": ["html", "markdown", "json"], "default": "markdown"},
"question": {"type": "string", "default": "text"}
}
22. vision_expert_agent
: URL AI
Parameters:
{
"task": {"type": "string", "description": "交给熟练代理执行的详细任务"}
}
23. auto_frontend_testing_agent
: 使 playwright UI
Parameters:
{
"task": {"type": "string"}
}
24. deep_testing_backend_v2
: 使 curl 使 playwright UI
Parameters:
{
"task": {"type": "string"}
}
25. integration_playbook_expert_v2
: API playbooks
Parameters:
{
"task": {"type": "string"}
}
26. support_agent
: Emergent
Parameters:
{
"task": {"type": "string"}
}
27. deployment_agent
: Emergent
Parameters:
{
"task": {"type": "string"}
}
```