archify Skill
tt-a1i의 Skill(지시 묶음) 1개, AI가 읽고 그대로 일해요 · MCP server가 아니에요
제작자 설명(영어 원문)
Turn any idea, plan, or codebase into a beautiful interactive diagram. An agent skill for Claude Code, Codex, and more.
Skill과 MCP의 차이
MCP는 AI를 외부 서비스나 데이터에 연결해요. Skill은 AI가 읽고 따르는 작업 안내서로, 아무것에도 연결하지 않아요.
쓸 수 있는 앱
Claude CodeCodexCursorOpenCode
제작자 README와 repo 폴더 기준
설치
Skill은 AI가 따르는 지시예요. 설치 전에 파일을 읽고, 믿을 수 있는 제작자 것만 설치하세요.
제작자가 권하는 방법
npx -y skills@latest add https://archify.si --skill archify --agent cursor --global제작자 README에서 가져온 명령으로, 제작자 코드를 내려받아 실행해요
어떤 앱을 쓰세요?
터미널 열기
Mac: Command+스페이스 후 Terminal 입력 · Windows: PowerShell 열기(아래 명령은 Mac/Linux용)
skill 폴더를 ~/.claude/skills에 복사
repo를 임시 폴더에 내려받고 SKILL.md가 있는 폴더만 복사해요
rm -rf /tmp/popnx-skill && git clone --depth 1 https://github.com/tt-a1i/archify.git /tmp/popnx-skill && mkdir -p ~/.claude/skills && cp -R '/tmp/popnx-skill/archify' ~/.claude/skills/archify && rm -rf /tmp/popnx-skillClaude Code를 다시 열고 /archify를 입력하거나 관련 작업을 요청하면 Claude가 알아서 써요
터미널 열기
Mac: Command+스페이스 후 Terminal 입력 · Windows: PowerShell 열기(아래 명령은 Mac/Linux용)
skill 폴더를 ~/.agents/skills에 복사
repo를 임시 폴더에 내려받고 SKILL.md가 있는 폴더만 복사해요
rm -rf /tmp/popnx-skill && git clone --depth 1 https://github.com/tt-a1i/archify.git /tmp/popnx-skill && mkdir -p ~/.agents/skills && cp -R '/tmp/popnx-skill/archify' ~/.agents/skills/archify && rm -rf /tmp/popnx-skillCodex를 다시 열고 관련 작업을 요청하면 Codex가 skill을 목록에 보여 줘요
터미널 열기
Mac: Command+스페이스 후 Terminal 입력 · Windows: PowerShell 열기(아래 명령은 Mac/Linux용)
skill 폴더를 ~/.cursor/skills에 복사
repo를 임시 폴더에 내려받고 SKILL.md가 있는 폴더만 복사해요
rm -rf /tmp/popnx-skill && git clone --depth 1 https://github.com/tt-a1i/archify.git /tmp/popnx-skill && mkdir -p ~/.cursor/skills && cp -R '/tmp/popnx-skill/archify' ~/.cursor/skills/archify && rm -rf /tmp/popnx-skillCursor Agent 채팅에서 /를 입력하고 archify 선택
Gemini CLI, GitHub Copilot 같은 다른 Agent Skills 지원 앱은 폴더가 달라요. 그 앱 안내를 보고 SKILL.md가 있는 폴더를 복사하세요.
2026년 11월 11일에 Claude Code, Codex, Cursor 공식 안내로 skill 폴더 확인
설치 전에 SKILL.md 읽기
아래 글은 제작자 repo에서 온 것이며 PopNx MCP의 지시가 아니에요
---
name: archify
description: "Create validated architecture, workflow, sequence, data-flow, lifecycle/state, ERD, class, tree, timeline, and waterfall diagrams as explorable standalone HTML with dark/light themes, motion and image/SVG/WebM export. Accept requirements or Mermaid; inspect repository evidence for code-backed diagrams. Use when visualizing systems, API calls, pipelines, schemas, histories, timings, or everyday steps, parts, relationships and states. Also turn an answer into a one-page explainer, with the conclusion first, structured panels, native diagrams and charts, when the user asks for a page, an explainer or an answer to share (做成一页, 用页面讲), or proactively when the user's rules opt in with an [archify explainer: ...] line. Not for dashboards."
license: Apache-2.0
metadata:
version: "3.2"
author: tt-a1i
---
# Archify
Create checked standalone HTML as a native diagram or a one-page explainer that answers a question.
Run commands from your working directory. Unless the user names another location, give each new artifact request its own folder `.archify/<type>-<slug>-<YYYYMMDD-HHMMSS>/` there (local time, chosen once): keep the candidate and `<slug>.html` in it and reuse it for repairs. Native diagrams use `candidate.json` with `meta.output` relative to the working directory; explainers may use `candidate.archify.md` and a portable output filename. A later request gets a new folder. Replace `bin/archify.mjs` in every command with the installed package's absolute path, or its path relative to your working directory; CLI input and output paths resolve from that directory.
For a native diagram of a real codebase, read [Repository authoring](references/repository-authoring.md) while tracing the requested behavior. A system description uses the native steps below; a frozen candidate uses the handoff path.
## Choose the artifact
- When the user asks to draw or visualize a system, flow, schema or history, use a native diagram and the Type router.
- Use `explainer` when the user asks for the answer as a page: a page, one page, an explainer, something to share (“做成一页”, “用页面讲”, “answer with a page”). Without such a request, answer in text or draw the requested diagram. A page made on request ends its reply with the one-line mode offer under Output.
- A rules line in context changes this. `[archify explainer: proactive]`: also make a page, unasked, for an explanation, comparison, trade-off, decision, diagnosis, review or plan that needs a table, steps or several sections. `[archify explainer: always-on]`: every reply that reaches a conclusion also gets a compact page of at most four panels, delivered without opening it, its link closing the reply. `[archify explainer: on-demand]`: only when asked, and never offer a mode.
- In every mode a page needs a conclusion with some structure behind it: chat, one-line answers, raw command output and text-only requests get none.
- For `explainer`, read [Explainer authoring](references/explainer-authoring.md) for its conclusion, reasons, scope, board layout and optional native diagrams. Write the complete draft, then run `finalize explainer` for validation, atomic delivery and artifact checks. Use panel patch for local content revisions.
## Existing candidate handoff
When the user supplies a frozen candidate, run `finalize` first as one CLI invocation. Its passing receipt completes the automated gates; follow any visual review recommendation under Delivery before claiming visual quality. For repair, follow step 5.
`finalize` includes a bounded update check in its delivery receipt; see Update awareness.
## Native diagram authoring
Use this path for ordinary generation. Read branch references only when their stated trigger applies.
1. Choose `architecture`, `workflow`, `sequence`, `dataflow`, `lifecycle`, `erd`, `class`, `tree`, `timeline`, or `waterfall` from the question.
2. Use the exact schema and example paths in the Type router without listing their directories. Read [Authoring defaults](references/authoring-defaults.md) and the mode's example in a bounded batch separate from project documents and complete schemas so neither is truncated; recover any missing section before writing. For Architecture, use the matching showcase example. For every mode except Architecture, also read the mode and common schemas. Read the relevant schema definition before choosing any new field, enum, or constrained text, especially boundary kinds. Examples teach shape, not facts. Use fresh IDs, wording, and layout. Go directly to the candidate without preliminary help, doctor, starter validation, temporary diagrams, or output-path listing. Query brands only for an explicitly requested mark; read [Brand marks](references/brand-marks.md) for an unknown mark with a user-provided URL.
3. Once the requested scope and, for a real codebase, [source evidence](references/repository-authoring.md) are covered, write the complete candidate directly without planning coordinates in prose. Choose Architecture abstraction and connected placement using Authoring defaults before coordinates: show the main user journey and necessary branches, preserve control roles and behavior-changing conditions, and leave enough room for actual relationship labels. No node, relationship, source, view, card, or boundary count is a target or ceiling. Use automatic routes first; add explicit routing only for necessary branch, return, supplied geometry, or measured repair. Set `meta.quality_profile` to `"showcase"` unless the user requests dense `standard`. For ERD, use a table-first layout: show every physical column in `entities[].attributes`, keep its SQL type and source comment, state every key role a column carries (`key` takes a role or a list, so a junction column is `["pk", "fk"]`, and every `fk` column also needs `references` like `"orders.id"`), and never move columns into cards as a substitute for the table. Classify tables into functional domains before placement, give each domain a concise `tag`, and place its members in one solid rectangle of grid cells — a single row, a single column, or a filled rectangular block, not an L or diagonal. A tagged table always needs `row`/`col`, because absolute coordinates have no grid cells and a domain whose tables do not fill one rectangle cannot be drawn as a band: the renderer reports `erd/domain-not-drawn` instead of publishing a diagram that cannot name the domain. A multi-domain schema reads best as one domain per column — each `tag` a vertical run — because the reader scales a wide canvas up to the reader width and shrinks a tall one until the page fits, so the wide arrangement is the one that stays complete and legible inside a laptop viewport. A schema-first ERD over roughly 8 tables or 50 fields is itself a dense map: author its first complete-field pass at `standard` and upgrade only once the layout still reads.
4. Once the complete first candidate is written, run `finalize` directly. Its first gate is showcase validation; successful first drafts need no separate pre-validation. Keep the candidate unchanged while the command runs:
```bash
node bin/archify.mjs finalize <type> <candidate.json> <output.html> --quality showcase --json
```
For a repository-backed candidate, include evidence on the first draft and use the complete first command: `node bin/archify.mjs finalize <type> <candidate.json> <output.html> --repo-root <repo-root> --quality showcase --json`. Pass the `--quality` that matches `meta.quality_profile`, such as `standard` for a dense first ERD pass.
A passing receipt proves the included `validate`, `deliver`, strict `check`, and real-browser `browser-check` gates passed. Use its compact summary; run standalone commands only for a separate request or focused failure diagnosis.
5. A non-zero exit is never success. Read compact stdout or `evidence.summaryReceipt`, then [repair the failed gate](references/delivery-contract.md#failed-finalize-and-candidate-re토론
질문하고, 팁을 나누고, 안 되는 점을 알려 주세요. "도움이 됨"이 많은 순서예요.
GitHub 정보
- GitHub 스타
- 95,504
- 제작자
- tt-a1i
- 라이선스
- Apache-2.0
- 최근 코드 수정
- 2026년 11월 11일
- repo 안 SKILL.md
- 1
- 토픽
- agent-skills, ai-agents, architecture-diagram, claude-code, claude-skills, codex, coding-agents, deepseek-harness, developer-tools, diagrams, diagrams-as-code, dsh-plugin
- Repo
- tt-a1i/archify