skeleton-generate — skeleton-generate install skeleton-generate, agent_template_public, community, skeleton-generate install, ide skills, domain-specific agent generation, AI agent template framework, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Essential for Agent Development Platforms needing structured domain-specific template generation. skeleton-generate is an agent template framework for domain-specific agent generation, producing output directories with CLAUDE.md, .cursor/skills/, and .codex/

Features

Generates output directories with CLAUDE.md, .cursor/skills/, and .codex/
Supports preflight checks using generate_checklist.md
Requires draft_requirements.md for domain name, agent display name, and description
Uses directory patterns such as Business, Coding, Data, DevOps, and Minimal
Checks for framework_research.md and user approval before generation

# Core Topics

skeleton-generate install domain-specific agent generation AI agent template framework
matsuni-kk matsuni-kk
[9]
[7]
Updated: 1/24/2026

Agent Capability Analysis

The skeleton-generate skill by matsuni-kk is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance. Optimized for skeleton-generate install, domain-specific agent generation, AI agent template framework.

Ideal Agent Persona

Essential for Agent Development Platforms needing structured domain-specific template generation.

Core Value

Generates complete agent skeleton directories including CLAUDE.md, .cursor/skills/, and .codex/ folders with framework-specific patterns. Requires preflight validation through generate_checklist.md and user-approved draft_requirements.md before execution.

↓ Capabilities Granted for skeleton-generate

Generating Business/Coding/Data/DevOps/Minimal agent directory patterns
Validating framework requirements through framework_research.md
Creating structured output/{domain}_agent/ directory structures

! Prerequisites & Limits

  • Requires user approval of draft_requirements.md before generation
  • Depends on framework_research_done=true flag
  • Needs preflight checklist completion
Labs Demo

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skeleton-generate

Install skeleton-generate, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
Readonly

Skeleton Generate Workflow

Skills版エージェント骨格生成ワークフロー。主成果物はoutput/{domain}_agent/ディレクトリ一式（CLAUDE.md, .cursor/skills/, .codex/含む）。

Instructions

1. Preflight（事前確認）

  • ./assets/generate_checklist.md を先に読み、必須項目を確認する。
  • draft_requirements.md を参照し、以下を確認する:
    • ドメイン名（スネークケース）
    • エージェント表示名
    • 説明文（1-2文）
    • 準拠フレームワーク
    • ディレクトリパターン（Business/Coding/Data/DevOps/Minimal）
  • framework_research.md が存在し、framework_research_done=true が記録されているか確認する。
  • 要件定義へのユーザー承認が得られているか確認する。未承認なら生成しない。
  • output/配下に同名エージェントが存在しないか確認する。

2. ディレクトリパターン選択

  • ./assets/directory_patterns.md を参照し、用途に応じたパターンを選択する:
    • Business: Flow/Stock/Archived（ビジネス/ドキュメント管理）
    • Coding: src/tests/docs（ソフトウェア開発）
    • Data: data/notebooks/src/models（データ分析/ML）
    • DevOps: infra/scripts/configs（インフラ/運用）
    • Minimal: src/scripts（最小構成）
  • ユーザーに確認し、パターンを確定する。

3. ディレクトリ構造生成

  • 選択したパターンに応じてディレクトリを作成する。
  • 共通構造（全パターン必須）: 
    bash
    1mkdir -p output/{domain}_agent/.claude/{skills,agents,commands}
2mkdir -p output/{domain}_agent/.codex/{skills,agents,prompts}
3mkdir -p output/{domain}_agent/.cursor/rules
4mkdir -p output/{domain}_agent/.github/{skills,prompts}
5mkdir -p output/{domain}_agent/.gemini
6mkdir -p output/{domain}_agent/.kiro/steering
7mkdir -p output/{domain}_agent/scripts
  • パターン別構造を追加（例: Business）: 
    bash
    1mkdir -p output/{domain}_agent/Flow
2mkdir -p output/{domain}_agent/Stock/programs/core/{documents,images}
3mkdir -p output/{domain}_agent/Archived
  • 空ディレクトリに .gitkeep を配置する。

4. マスターファイル生成

  • ./assets/claude_md_template.md を使用して以下を生成する（テンプレートにはWF自動継続/テンプレートファースト/Next Action triggers参照ルールを含める）:
    1. CLAUDE.md - プレースホルダを置換して生成
    2. AGENTS.md - CLAUDE.mdと同内容
    3. .github/copilot-instructions.md - CLAUDE.mdと同内容
    4. .gemini/GEMINI.md - CLAUDE.mdと同内容
    5. .kiro/steering/KIRO.md - CLAUDE.mdと同内容
  • ./assets/readme_template.md を使用して README.md を生成する。
  • 元資料にない項目は省略せず「未記載」と明記する。

5. スクリプト・共通Skillsコピー

  • ./assets/common_skills_template.md に従い、以下をコピーする: 
    bash
    1# スクリプト
2cp scripts/validate_skills.py output/{domain}_agent/scripts/
3cp scripts/update_agent_master.py output/{domain}_agent/scripts/
4
5# 共通Skills（必須）
6cp -r .cursor/skills/skill-maintenance output/{domain}_agent/.cursor/skills/
7cp -r .cursor/skills/subagent-maintenance output/{domain}_agent/.cursor/skills/
8
9# 共通サブエージェント（推奨）
10cp .claude/agents/skill-builder.md output/{domain}_agent/.claude/agents/
11cp .claude/agents/skill-validator.md output/{domain}_agent/.claude/agents/
12cp .claude/agents/qa-skill-qc.md output/{domain}_agent/.claude/agents/
13cp .codex/agents/qa-skill-qc.md output/{domain}_agent/.codex/agents/
14cp .claude/agents/qa-skeleton-generate.md output/{domain}_agent/.claude/agents/

6. 初期Skills準備

  • domain-skills-generate へ進む準備をする。
  • ドメイン固有のSkillsは次工程で作成。

7. QC（必須）

  • recommended_subagents のQC Subagent（qa-skill-qc）に評価を委譲する。
  • Subagentは ./evaluation/skeleton_criteria.md をReadし、QCを実施する。
  • 指摘を最小差分で反映する（最大3回）。
  • 指摘に対し「修正した/しない」と理由を成果物に残す。

8. バックログ反映

  • 次アクション（Skills作成、バリデーション）をタスクリストへ追記する。
  • 生成完了を記録する。

subagent_policy:

  • 品質ループ（QC/チェック/フィードバック）は必ずサブエージェントへ委譲する
  • サブエージェントの指摘を反映し、反映結果（修正有無/理由）を成果物に残す

recommended_subagents:

  • qa-skill-qc: ディレクトリ構造、CLAUDE.md、マルチプラットフォームファイル、スクリプト配置を検査

Resources

  • assets: ./assets/generate_checklist.md
  • assets: ./assets/directory_patterns.md
  • assets: ./assets/common_skills_template.md
  • assets: ./assets/claude_md_template.md
  • assets: ./assets/skills_structure_template.md
  • assets: ./assets/readme_template.md
  • evaluation: ./evaluation/skeleton_criteria.md
  • scripts: scripts/validate_skills.py
  • scripts: scripts/update_agent_master.py
  • triggers: ./triggers/next_action_triggers.md

Next Action

  • triggers: ./triggers/next_action_triggers.md

起動条件に従い、条件を満たすSkillを自動実行する。

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is skeleton-generate?

Essential for Agent Development Platforms needing structured domain-specific template generation. skeleton-generate is an agent template framework for domain-specific agent generation, producing output directories with CLAUDE.md, .cursor/skills/, and .codex/

How do I install skeleton-generate?

Run the command: npx killer-skills add matsuni-kk/agent_template_public/skeleton-generate. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for skeleton-generate?

Key use cases include: Generating Business/Coding/Data/DevOps/Minimal agent directory patterns, Validating framework requirements through framework_research.md, Creating structured output/{domain}_agent/ directory structures.

Which IDEs are compatible with skeleton-generate?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for skeleton-generate?

Requires user approval of draft_requirements.md before generation. Depends on framework_research_done=true flag. Needs preflight checklist completion.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add matsuni-kk/agent_template_public/skeleton-generate. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use skeleton-generate immediately in the current project.

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