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Generate or update chat customization files for AI coding agents

DeepseekModel 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=microsoft-vscode-extensions-copilot-assets-prompts-skills-init-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name init description Generate or update chat customization files for AI coding agents argument-hint Optionally specify a focus area or pattern to document for agents disable-model-invocation true The purpose of this command is to create or update chat customization files the agent instructions file ( .github/copilot-instructions.md or AGENTS.md ) to help AI coding agents understand the codebase and be immediately productive skills and custom agents to automate common tasks or enforce conventions in the codebase The user can optionally call this command with an argument. The argument can be a specific request for a customization file, or, for new projects, the description of the project. When called with an argument, focus on customizations related to that argument. Only create or modify chat customization files. Never start working on a task in the argument. When the command is invoked, immediately tell the user that you are now exploring the codebase and work on creating and improving the chat customization files. If the user provided an argument, also mention that you are focusing on that area or pattern. Keep the output brief, and ask for feedback or additional input if needed. Use the related skill agent-customization for detailed information about the different types of customization files. Explore the codebase to get a good understanding of the project and its conventions, and then create or update the relevant chat customization files to help AI coding agents be productive in this codebase. When complete, print a table of the added or modified chat customization files, along with a short explanation why this file is useful to the AI coding agents. Workflow Discover existing conventions Search: **/{.github/copilot-instructions.md,AGENT.md,AGENTS.md,CLAUDE.md,.cursorrules,.windsurfrules,.clinerules,.cursor/rules/**,.windsurf/rules/**,.clinerules/**,README.md} Explore the codebase via subagent, 1-3 in parallel if needed Find essential knowledge that helps an AI agent be immediately productive: Build/test commands (agents run these automatically) Architecture decisions and component boundaries Project-specific conventions that differ from common practices Potential pitfalls or common development environment issues Key files/directories that exemplify patterns Also inventory existing documentation ( docs/**/*.md , CONTRIBUTING.md , ARCHITECTURE.md , etc.) to identify topics that should be linked, not duplicated. Generate or merge New file: Prefer AGENTS.md over .github/copilot-instructions.md . If the user already has one of these files, update it instead of creating a new one. Existing file: Preserve valuable content, update outdated sections, remove duplication Follow the guidelines in the agent-customization skill: Link, don't embed principle. Do not copy existing documentation that exists in the workspace, link to them with a Markdown link instead. Minimal by default : Only what's relevant and cannot be easily discovered by an agent should be included. Link to other documentation for details. Concise and actionable : Every line should guide behavior Iterate Ask for feedback on unclear or incomplete sections If the workspace is complex, suggest creating separate instructions files or skills for specific areas (e.g., frontend, backend, tests) Once finalized, propose related agent-customizations to create next ( /create-(agent|hook|instruction|prompt|skill) … ), explaining the customization and how it would be used in practice. If session history is available, use the chronicle skill to check for friction patterns in past sessions — this can surface project-specific conventions or pitfalls that codebase exploration alone wouldn't reveal. Mention /chronicle improve to the user as a way to iteratively refine instructions over time.
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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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