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SrltasSrltas/claude-skills/blog/SKILL.md

blog

Skill0 starsChanged 13 days agoMITView on GitHub

Draft a Korean tech blog post for velog in the public work-docs repo: short text, with every diagram and chart rendered as an image because velog does not render Mermaid. You publish it on velog yourself.

17 other projects use a version of this.

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Projects with it also use audit.

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Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • OpenAISkill

    audit

    Audit or critique a product flow, journey, workflow, funnel, onboarding path, checkout path, settings path, screen, or multi-step product experience by capturing screenshots first, then reporting UX, design, and accessibility findings inline from that evidence. Use Figma only when the user explicitly asks for a board. Use when the user asks to audit, review, critique, inspect, assess, analyze, evaluate, or give feedback on a product experience.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

6 rules. 0 are common, 3 are distinctive, and 3 are very specific to this project.

  • 0

    Common

    Most of the 14 edited versions we read keep these.

  • 3

    Distinctive

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Write a tight, visuals-first Korean tech blog post for velog, saved as a draft in the public work-docs repo.

    line 13
  2. Distinctive:

    Verify facts before writing: cubrid-manual, cmt-manual, Understand-Anything (if installed), and the real code.

    line 30
  3. Very specific:

    Put each source in assets/, render it to an image, and embed with !설명.

    line 43
  4. Very specific:

    Keep the .mmd source so the diagram stays editable and reproducible.

    line 49
  5. Very specific:

    Hand-drawn / architecture: if an Excalidraw skill is installed, use it to produce assets/*.png.

    line 51
  6. Distinctive:

    Keep diagrams simple (roughly 10-15 nodes).

    line 52

“Common” is measured: kept by at least 6 in 10 of the 14 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Draft a tech blog post (velog, work-docs)

Write a tight, visuals-first Korean tech blog post for velog, saved as a draft in the public work-docs repo. velog does not render Mermaid, so every diagram becomes an image here (you upload those images to velog when publishing).

Step 0: Prereqs

  • work-docs cloned at ${WORK_DOCS_REPO:-$HOME/Devel/work-docs} (shared with note/worklog).
  • curl (for Kroki diagram rendering). For data charts, the report skill's venv + figures.py. Optional: an Excalidraw skill for hand-drawn diagrams.

Step 1: Scaffold the post folder

bash ${CLAUDE_SKILL_DIR}/assets/new_blog.sh <slug>

Creates blog/<YYYY-MM-DD>-<slug>/index.md + an assets/ folder, and prints the draft's GitHub URL.

Step 2: Ground it (do not write from memory)

Verify facts before writing: cubrid-manual, cmt-manual, Understand-Anything (if installed), and the real code. A tech post must be correct. Cite sources in 참고.

Step 3: Write the post (minimal text, visuals-first)

Korean. Structure: 제목 → 요약(1~2줄) → 들어가며(왜 읽나, 무슨 문제) → 핵심 섹션들 → 정리 → 참고.

  • 핵심 텍스트만: 짧은 문단, 개조식.
  • 개념 설명은 글보다 그림으로 (다음 단계에서 이미지로).
  • 표는 비교·수치, 코드블록은 코드·로그.
  • em-dash(—)는 쓰지 않는다: 쉼표·콜론·괄호·마침표로 대체.

Step 4: Make visuals as IMAGES (velog cannot render Mermaid)

Put each source in assets/, render it to an image, and embed with ![설명](assets/…).

  • Diagram-as-code (Mermaid / Graphviz / D2 / PlantUML): write assets/diagram-N.mmd, then render to PNG for velog:
    bash ${CLAUDE_SKILL_DIR}/assets/render.sh assets/diagram-N.mmd assets/diagram-N.png
    Keep the .mmd source so the diagram stays editable and reproducible. (velog accepts PNG uploads; SVG upload is often blocked, so render PNG for velog.)
  • Data charts: build a chart JSON and render it with the report skill's figures.py to assets/chart-N.png (see the report skill for the figures.py <block.json> <out.png> command).
  • Hand-drawn / architecture: if an Excalidraw skill is installed, use it to produce assets/*.png.
  • Keep diagrams simple (roughly 10-15 nodes); dense graphs render poorly.
  • Prefer Mermaid for structured visuals (flow/sequence/state/ER/class): nodes auto-size to their text, so labels never clip.

Verify every image (render → look → fix → repeat): after rendering, Read the PNG and check it: is every label fully inside its node, nothing clipped or overlapping, the whole figure readable at blog width? If a diagram is wrong, fix the .mmd (switch LR↔TB, shorten labels, or split it) and re-render, then look again. Repeat until each image is clean. Never embed a diagram you have not looked at.

Note: Kroki (https://kroki.io) is a public service, so the diagram source is sent there. That is fine for public blog content. Point KROKI_URL at a self-hosted instance if you prefer.

Step 5: Commit (never push)

REPO="${WORK_DOCS_REPO:-$HOME/Devel/work-docs}"
git -C "$REPO" add "blog/<YYYY-MM-DD>-<slug>/"
git -C "$REPO" commit -m "blog: <제목>"

Give the user the draft path and GitHub URL. Pushing is the user's responsibility.

Step 6: Publish on velog (manual)

velog 에디터에 index.md 본문을 붙이고, assets/의 이미지를 드래그해 업로드하면 velog가 CDN URL로 바꿔 삽입합니다. 다이어그램이 이미지라 velog에서 정상 표시됩니다.

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