Skills Plugins MCP Prompt Model 博客 我的中心
Development #github #ai #agent

agent-rules

Use when creating or updating AGENTS.md files, .github/copilot-instructions.md, or other AI agent rule files, onboarding AI agents to a project, standardizing agent documentation, or when anyone mentions AGENTS.md, agent rules, project onboarding, or codebase documentation for AI agents.

DeepseekModel Curated skill Quality Excellent · 78 v1.0.0

Get

https://deepseekmodel.com/api/download.php?id=netresearch-agent-rules-skill-skills-agent-rules-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 agent-rules description Use when creating or updating AGENTS.md files, .github/copilot-instructions.md, or other AI agent rule files, onboarding AI agents to a project, standardizing agent documentation, or when anyone mentions AGENTS.md, agent rules, project onboarding, or codebase documentation for AI agents. license (MIT AND CC-BY-SA-4.0). See LICENSE-MIT and LICENSE-CC-BY-SA-4.0 compatibility Requires bash 4.3+, jq 1.7+, git 2.0+. metadata {"author":"Netresearch DTT GmbH","version":"3.16.0","repository":"https://github.com/netresearch/agent-rules-skill"} allowed-tools Bash(${CLAUDE_SKILL_DIR}/scripts/*) Bash(bash ${CLAUDE_SKILL_DIR}/scripts/*) Bash(git:*) Bash(jq:*) Bash(grep:*) Bash(find:*) Read Glob Grep AGENTS.md Generator Skill Generate and maintain AGENTS.md files following the agents.md convention . AGENTS.md is FOR AGENTS, not humans. When to Use Creating or updating AGENTS.md for new/existing projects Scaffolding a new repository — ship AGENTS.md with the initial commits; retrofitting later needs full re-verification Standardizing agent documentation across repositories Checking AGENTS.md freshness after code changes Onboarding AI agents to an unfamiliar codebase Scripts Call every script by its full path: bash ${CLAUDE_SKILL_DIR}/scripts/<name> PATH . Calling one relative to the working directory is not covered by the frontmatter rule and raises a permission prompt per call. Script Purpose generate-agents.sh PATH Generate AGENTS.md files validate-structure.sh PATH Validate structure compliance check-freshness.sh PATH Check if files are outdated verify-content.sh PATH Verify documented files/commands match codebase verify-commands.sh PATH Verify documented commands execute score-agents.sh PATH Grade AGENTS.md quality, worst-first detect-project.sh PATH Detect language, version, build tools detect-scopes.sh PATH Identify directories needing scoped files extract-commands.sh PATH Extract commands from build configs extract-ci-rules.sh PATH Extract CI quality gates and version matrix extract-architecture-rules.sh PATH Extract module boundaries extract-adrs.sh PATH Extract architectural decision records extract-github-rulesets.sh PATH Extract GitHub rulesets and merge rules See references/scripts-guide.md for full options. Workflow Detect : detect-project.sh + detect-scopes.sh — stacks and subsystems Extract : extract-commands.sh , extract-ci-rules.sh — gather facts Generate : generate-agents.sh --style=thin (default) or --verbose Verify : verify-content.sh + verify-commands.sh -- MANDATORY before done --update preserves curated content outside <!-- GENERATED --> markers. Core Principles Structured over Prose -- tables parse faster than paragraphs Never Fabricate -- only document what exists; verify every command and path Pointer Principle -- point to files, don't duplicate content Auto Symlinks -- CLAUDE.md/GEMINI.md by default ( ai-tool-compatibility.md ) References File Contents verification-guide.md Verification steps, anti-bloat, preservation check fleet-sync-sweep.md Fleet-wide AGENTS.md sweeps scripts-guide.md Script options, validation checklist quality-rubric.md Grading rubric ai-tool-compatibility.md 16-agent compatibility matrix output-structure.md Root/scoped sections git-hooks-setup.md Hook framework setup examples/ Complete examples ai-contribution-guidelines.md "3 Cs" AI-contribution framework directory-coverage.md Scoped-file coverage rationale feedback-memory-schema.md Approved-learning file format Templates Root: assets/root-thin.md (default) or root-verbose.md . Scoped: assets/scoped/ , one per stack (Go/PHP/Python/TYPO3/Symfony/Oro/CLI/TS/skill-repo). Supported Projects Go, PHP (Composer/Laravel/Symfony/TYPO3/Oro), TypeScript (React/Next/Vue/Node), Python (pip/poetry/ruff/mypy), skill repos, hybrid. See Also agent-harness-skill — agent-readiness harness (CI enforcement). skill-repo-skill — skill-repo structure (plugin.json, licensing, releases).
Keywords that activate this skill. Click one to copy it.

This skill does not provide trigger words.

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

每日精选 Skill 推荐,免费送到你邮箱

输入邮箱,每天接收一个精选 AI Agent 技能推荐。完全免费,持续更新。

验证码 --

提交后我们会发送一封确认邮件,点击邮件里的链接才会开始收信。

完全免费,取消任意时间。我们不会发送垃圾邮件。