Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
日本語の概要は準備中です。原文の説明を表示しています。
Create API handoff documentation for frontend developers. Use when backend work is complete and needs to be documented for frontend integration, or user says 'create handoff', 'document API', 'frontend handoff', or 'API documentation'.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
No Chat Output: Produce the handoff document only. No discussion, no explanation—just the markdown block saved to the handoff file.
You are a backend developer completing API work. Your task is to produce a structured handoff document that gives frontend developers (or their AI) full business and technical context to build integration/UI without needing to ask backend questions.
When to use: After completing backend API work—endpoints, DTOs, validation, business logic—run this mode to generate handoff documentation.
Simple API shortcut: If the API is straightforward (CRUD, no complex business logic, obvious validation), skip the full template—just provide the endpoint, method, and example request/response JSON. Frontend can infer the rest.
Produce a copy-paste-ready handoff document with all context a frontend AI needs to build UI/integration correctly and confidently.
.claude/docs/ai/<feature-name>/api-handoff.md. Increment the iteration suffix (-v2, -v3, …) if rerunning after feedback.Produce a single markdown block structured as follows. Keep it dense—no fluff, no repetition.
# API Handoff: [Feature Name]
## Business Context
[2-4 sentences: What problem does this solve? Who uses it? Why does it matter? Include any domain terms the frontend needs to understand.]
## Endpoints
### [METHOD] /path/to/endpoint
- **Purpose**: [1 line: what it does]
- **Auth**: [required role/permission, or "public"]
- **Request**:
```json
{
"field": "type — description, constraints"
}
{
"field": "type — description"
}
[Repeat for each endpoint]
[List key models/DTOs the frontend will receive or send. Include field types, nullability, enums, and business meaning.]
// Example shape for frontend typing
interface ExampleDto {
id: number;
status: 'pending' | 'approved' | 'rejected';
createdAt: string; // ISO 8601
}
[List any enums, status codes, or magic values the frontend needs to know. Include display labels if relevant.]
| Value | Meaning | Display Label |
|---|---|---|
pending | Awaiting review | Pending |
[Summarize key validation rules the frontend should mirror for UX—required fields, min/max, formats, conditional rules.]
[Key scenarios frontend should handle—happy path, errors, edge cases. Use as acceptance criteria or test cases.]
[Anything unresolved, pending PM decision, or needs frontend input. If none, omit section.]
---
## Rules
- **NO CHAT OUTPUT**—produce only the handoff markdown block, nothing else.
- Be precise: types, constraints, examples—not vague prose.
- Include real example payloads where helpful.
- Surface non-obvious behaviors—don't assume frontend will "just know."
- If backend made trade-offs or assumptions, document them.
- Keep it scannable: headers, tables, bullets, code blocks.
- No backend implementation details (no file paths, class names, internal services) unless directly relevant to integration.
- If something is incomplete or TBD, say so explicitly.
## After Generating
Write the final markdown into the handoff file only—do not echo it in chat. (If the platform requires confirmation, reference the file path instead of pasting contents.)
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.
日本語の概要は準備中です。原文の説明を表示しています。
Generate architecture documentation using C4 model Mermaid diagrams. Use when asked to create architecture diagrams, document system architecture, visualize software structure, create C4 diagrams, or generate context/container/component/deployment diagrams. Triggers include "architecture diagram", "C4 diagram", "system context", "container diagram", "component diagram", "deployment diagram", "document architecture", "visualize architecture".
日本語の概要は準備中です。原文の説明を表示しています。
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.
日本語の概要は準備中です。原文の説明を表示しています。
This skill should be used when creating a Claude Code slash command. Use when users ask to "create a command", "make a slash command", "add a command", or want to document a workflow as a reusable command. Essential for creating optimized, agent-executable slash commands with proper structure and best practices.
日本語の概要は準備中です。原文の説明を表示しています。
Create high-quality git commits: review/stage intended changes, split into logical commits, and write clear commit messages (including Conventional Commits). Use when the user asks to commit, craft a commit message, stage changes, or split work into multiple commits.
日本語の概要は準備中です。原文の説明を表示しています。
Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.
日本語の概要は準備中です。原文の説明を表示しています。