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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 キュレーション済みスキル 品質 優秀 · 78 v1.0.0

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https://deepseekmodel.com/api/download.php?id=netresearch-agent-rules-skill-skills-agent-rules-skill-md&format=skill
ダウンロード .skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
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AGENTS.md files validate-structure.sh PATH Validate structure compliance check-freshness.sh PATH Check if files are outdated verify-content.sh PATH Verify documented files/commands match codebase verify-commands.sh PATH Verify documented commands execute score-agents.sh PATH Grade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).
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ダウンロードした .skill に含まれるフィールド。
フィールド 説明
formatフォーマット識別子(skill/v1)
skill_idスキル固有 ID
nameスキル名
versionバージョン
description説明
categoryカテゴリ(配列)
trigger_wordsトリガーワード
tagsタグ
sourceソース
source_urlソース URL(本ページ)
exported_atエクスポート日時(ダウンロード毎)
system_promptシステムプロンプト本文
model_configモデル設定:provider / model / temperature / max_tokens / top_p
examplesサンプル
install_guide各プラットフォームの導入説明(Coze / Dify / Claude / カスタム)
同じスキルを各プラットフォーム形式で出力できます。
.skill 標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能 ダウンロード
.skillpro 拡張形式。scripts / tools / dependencies / hooks を含む ダウンロード
.json 純粋な JSON 出力。system_prompt とモデル設定のみ ダウンロード
Coze frontmatter 付き Markdown。Coze へのインポート用 ダウンロード
Dify Dify DSL。アプリ作成後にそのままインポート ダウンロード

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