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.
Adopted by
Most recently taken up by
- whyashthakker/estacktheir own version, first seen Nov 8, 2026
- alpit-patel/seo-aeo-geo-kittheir own version, first seen Nov 8, 2026
- theopenco/llmgatewaytheir own version, first seen Nov 6, 2026
- kriscard/Skillstheir own version, first seen Oct 28, 2026
- AgriciDaniel/claude-blogtheir own version, first seen Oct 25, 2026
- ojt3492/claude-skillstheir own version, first seen Oct 17, 2026
Used with
Projects with it also use audit.
Other files people use alongside this one.
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.
OpenAISkillaudit
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
Other versions17 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 17
- AgriciDaniel/claude-blog★ 2.7ksame name
- theopenco/llmgateway★ 1.7ksame name
- Chorus-AIDLC/Chorus★ 1.2ksame name
- yan-labs/yan-skills★ 232same name
- rainday/smart-blog-skills★ 35same name
- coopersimson96/ai-content-system★ 17same name
- kriscard/Skills★ 15same name
- joyehuang/skills★ 9same name
- megastep/codex-skills★ 4same name
- runcycles/cycles-docs★ 4same name
7 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository22 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- ci-checkSkill
- cmt-manualSkill
- commitSkill
- cubrid-manualSkill
- hhh-dialect-verify-reportSkill
- hhh-dialect-verifySkill
- java-formatSkill
- jdbc-ctp-verify-reportSkill
- jira-draftSkill
- jira-fetchSkill
- noteSkill
- pr-draftSkill
- pr-reviewSkill
- reportSkill
- review-triageSkill
- self-reviewSkill
- skill-createSkill
- submodule-bumpSkill
- tutorSkill
- weekly-reportSkill
- worklogSkill
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
- Distinctive: line 13
Write a tight, visuals-first Korean tech blog post for velog, saved as a draft in the public work-docs repo.
- Distinctive: line 30
Verify facts before writing: cubrid-manual, cmt-manual, Understand-Anything (if installed), and the real code.
- Very specific: line 43
Put each source in assets/, render it to an image, and embed with !설명.
- Very specific: line 49
Keep the .mmd source so the diagram stays editable and reproducible.
- Very specific: line 51
Hand-drawn / architecture: if an Excalidraw skill is installed, use it to produce assets/*.png.
- Distinctive: line 52
Keep diagrams simple (roughly 10-15 nodes).
“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.
Files
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 .
- Diagram-as-code (Mermaid / Graphviz / D2 / PlantUML): write
assets/diagram-N.mmd, then render to PNG for velog:
Keep thebash ${CLAUDE_SKILL_DIR}/assets/render.sh assets/diagram-N.mmd assets/diagram-N.png.mmdsource so the diagram stays editable and reproducible. (velog accepts PNG uploads; SVG upload is often blocked, so render PNG for velog.) - Data charts: build a chart JSON and render it with the report skill's
figures.pytoassets/chart-N.png(see the report skill for thefigures.py <block.json> <out.png>command). - Hand-drawn / architecture: if an Excalidraw skill is installed, use it to produce
assets/*.png. - Keep diagrams simple (roughly 10-15 nodes); dense graphs render poorly.
- Prefer Mermaid for structured visuals (flow/sequence/state/ER/class): nodes auto-size to their text, so labels never clip.
Verify every image (render → look → fix → repeat): after rendering, Read the PNG and check it: is every label fully inside its node, nothing clipped or overlapping, the whole figure readable at blog width? If a diagram is wrong, fix the .mmd (switch LR↔TB, shorten labels, or split it) and re-render, then look again. Repeat until each image is clean. Never embed a diagram you have not looked at.
Note: Kroki (https://kroki.io) is a public service, so the diagram source is sent there. That is fine for public blog content. Point KROKI_URL at a self-hosted instance if you prefer.
Step 5: Commit (never push)
REPO="${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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Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
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