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Generate or update chat customization files for AI coding agents

DeepseekModel Curated skill Quality Excellent · 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
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
The actual content of the system_prompt field in the .skill file.
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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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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