Presentation Builder
bionic-gpt/bionic-gpt
Create reveal.js slide decks and presentation-style visual artifacts as generated HTML canvas files.
원본분석가(source-analyst)와 프레젠테이션빌더(presentation-builder)가 사용하는 콘텐츠 원자화 전문 스킬.
Apache-2.0Auto-check passed
Install Content Atomization
$ npx skills add revfactory/harness-100 --skill content-atomization -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install revfactory/harness-100 content-atomization --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ko/04-content-repurposer/.claude/skills/content-atomization .claude/skills/content-atomization && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "content-atomization" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/04-content-repurposer/.claude/skills/content-atomization into .claude/skills/content-atomization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-atomization", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/revfactory/harness-100/tree/main/ko/04-content-repurposer/.claude/skills/content-atomizationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add revfactory/harness-100 --skill content-atomization -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install revfactory/harness-100 content-atomization --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ko/04-content-repurposer/.claude/skills/content-atomization .agents/skills/content-atomization && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "content-atomization" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/04-content-repurposer/.claude/skills/content-atomization into .agents/skills/content-atomization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-atomization", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add revfactory/harness-100 --skill content-atomization -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install revfactory/harness-100 content-atomization --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ko/04-content-repurposer/.claude/skills/content-atomization .cursor/skills/content-atomization && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "content-atomization" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/04-content-repurposer/.claude/skills/content-atomization into .cursor/skills/content-atomization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-atomization", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/revfactory/harness-100.git --path ko/04-content-repurposer/.claude/skills/content-atomization--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add revfactory/harness-100 --skill content-atomization -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install revfactory/harness-100 content-atomization --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ko/04-content-repurposer/.claude/skills/content-atomization .gemini/skills/content-atomization && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "content-atomization" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/04-content-repurposer/.claude/skills/content-atomization into .gemini/skills/content-atomization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-atomization", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install revfactory/harness-100 content-atomizationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add revfactory/harness-100 --skill content-atomization -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .github/skills && cp -r skills-src/ko/04-content-repurposer/.claude/skills/content-atomization .github/skills/content-atomization && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "content-atomization" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/04-content-repurposer/.claude/skills/content-atomization into .github/skills/content-atomization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-atomization", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add revfactory/harness-100 --skill content-atomization -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install revfactory/harness-100 content-atomization --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ko/04-content-repurposer/.claude/skills/content-atomization .opencode/skills/content-atomization && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "content-atomization" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/04-content-repurposer/.claude/skills/content-atomization into .opencode/skills/content-atomization/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "content-atomization", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
content-atomization- GitHub stars
- 1.3k
- Token cost
- ~745 tokens
- SKILL.md length
- 411 words
- Files
- 1
- Skills in repo
- 464
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
원본분석가(source-analyst)와 프레젠테이션빌더(presentation-builder)가 사용하는 콘텐츠 원자화 전문 스킬.
- SKILL.md covers 왜 원자화인가, 콘텐츠 원자 분류 체계, 원본 분석 프로세스: MINE 프레임워크 and 프레젠테이션 변환 공식, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Content Atomization is an agent skill from revfactory/harness-100. 원본분석가(source-analyst)와 프레젠테이션빌더(presentation-builder)가 사용하는 콘텐츠 원자화 전문 스킬. 하나의 콘텐츠를 최소 단위로 분해하고 재조합하여 최대 변환 효율을 달성하는 방법론을 제공한다. '콘텐츠 분해', '원자화', '핵심 추출', '재조합' 등에 활용한다.
Its SKILL.md is about 750 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The licence is Apache-2.0.
Example prompts
- “/content-atomization”
What it can do on your machine
Read from SKILL.md and the folder at commit 8e8d35c. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Content Atomization loads about 745 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 411 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 411 words, ~745 tokens.
Download SKILL.mdSave it as
.claude/skills/content-atomization/SKILL.md (or your agent's skills folder).- name
- content-atomization
- description
- 원본분석가(source-analyst)와 프레젠테이션빌더(presentation-builder)가 사용하는 콘텐츠 원자화 전문 스킬. 하나의 콘텐츠를 최소 단위로 분해하고 재조합하여 최대 변환 효율을 달성하는 방법론을 제공한다. '콘텐츠 분해', '원자화', '핵심 추출', '재조합' 등에 활용한다.
Content Atomization — 콘텐츠 원자화 방법론
source-analyst와 presentation-builder 에이전트가 원본을 분석하고 변환 전략을 수립할 때 활용하는 콘텐츠 분해 전문 지식.
왜 원자화인가
리퍼포징은 "같은 걸 다시 쓰는 것"이 아니다. 원본을 원자(atom) 단위로 분해한 뒤, 각 플랫폼에 맞게 재조합하는 것이다. 2,000단어 블로그에서 30개 이상의 독립 콘텐츠를 추출할 수 있다.
콘텐츠 원자 분류 체계
| 원자 유형 | 정의 | 추출 예시 | 변환 가능 포맷 |
|---|---|---|---|
| Claim | 검증 가능한 주장 | "원격근무가 생산성을 13% 높인다" | 트윗, 카드뉴스, 슬라이드 |
| Data | 숫자, 통계, 비율 | "2024년 AI 시장 규모 $184B" | 인포그래픽, 차트, 트윗 |
| Story | 인물/사건 기반 서사 | "A 기업의 전환 사례" | 스레드, 카루셀, 영상 스크립트 |
| Process | 단계별 방법론 | "5단계 OKR 설정법" | 가이드, 카루셀, 체크리스트 |
| Quote | 인용구, 격언 | "'실패는 성공의 어머니'" | 텍스트 카드, 트윗, 슬라이드 |
| Question | 독자를 생각하게 하는 질문 | "당신의 팀은 몇 시에 가장 생산적?" | 투표, 댓글 유도, 오프닝 |
| Contrast | 대비/비교 | "전통 vs 애자일 방법론" | 비교 표, 카루셀, 인포그래픽 |
| Definition | 개념 정의 | "OKR이란?" | 교육 콘텐츠, 슬라이드, 숏폼 |
원본 분석 프로세스: MINE 프레임워크
M — Map (구조 매핑)
원본의 구조를 시각적으로 매핑한다:
원본 콘텐츠
├── 도입부
│ ├── [Claim] 핵심 주장
│ └── [Data] 지원 데이터
├── 본론 1
│ ├── [Definition] 개념 정의
│ ├── [Process] 방법론
│ └── [Story] 사례
├── 본론 2
│ ├── [Contrast] 비교 분석
│ ├── [Data] 통계
│ └── [Quote] 전문가 인용
└── 결론
├── [Claim] 최종 주장
└── [Question] 독자에게 던지는 질문I — Identify (핵심 원자 식별)
각 원자에 재사용 가치 점수를 부여한다:
| 기준 | 가중치 | 설명 |
|---|---|---|
| 독립성 | 30% | 맥락 없이도 의미가 통하는가? |
| 감정 반응 | 25% | 놀라움/공감/분노를 유발하는가? |
| 공유 가능성 | 25% | 타인에게 전달하고 싶은 정보인가? |
| 시각화 가능성 | 20% | 그래프/이미지로 표현 가능한가? |
N — Negotiate (변환 우선순위)
재사용 가치 점수 기준으로 변환 우선순위를 정한다:
- 상위 20%: 모든 플랫폼에 변환 (핵심 메시지)
- 중위 50%: 적합한 2~3개 플랫폼에 변환
- 하위 30%: 블로그/롱폼에서만 유지, 숏폼 변환 생략
E — Extend (확장/보강)
원본에 없지만 변환 시 필요한 요소를 추가한다:
- 시각 자료: 원본이 텍스트뿐이면 차트/다이어그램 추가
- 개인화: 원본이 객관적이면 경험/의견 레이어 추가
- 액션 아이템: 원본이 분석적이면 실행 가능한 단계 추가
- 업데이트: 원본이 구형 데이터면 최신 정보로 교체
Show full SKILL.md (146 more words)Show less
프레젠테이션 변환 공식
슬라이드 수 산정
권장 슬라이드 수 = (발표 시간(분) x 1.5) + 3
- +3: 표지(1) + 목차(1) + Q&A(1)
- x1.5: 슬라이드당 약 40초 기준슬라이드 유형별 템플릿
| 유형 | 텍스트 양 | 비주얼 비율 | 사용 상황 |
|---|---|---|---|
| 타이틀 | 제목 + 부제 | 배경 이미지 100% | 섹션 구분 |
| 키 메시지 | 1문장 | 70% | 핵심 주장 강조 |
| 데이터 | 레이블만 | 차트/그래프 80% | 통계, 비교 |
| 프로세스 | 단계명만 | 플로우차트 70% | 방법론, 단계 |
| 비교 | 2열 표 | 50% | A vs B |
| 인용 | 인용문 + 출처 | 화자 이미지 | 권위/감정 |
| 스토리 | 3~4문장 | 관련 이미지 50% | 사례, 에피소드 |
1:10:30 규칙
- 1개 핵심 메시지: 전체 프레젠테이션이 전달하는 단 하나의 주장
- 10개 이하 지원 포인트: 핵심 메시지를 뒷받침하는 논거
- 30분 이하: 집중력 한계 (넘어가면 중간 인터랙션 필수)
변환 효율 측정
| 원본 유형 | 예상 원자 수 | 예상 파생 콘텐츠 수 |
|---|---|---|
| 블로그 2,000단어 | 15~25개 | 트윗 8 + 카루셀 2 + 슬라이드 15 + 숏폼 3 |
| 보고서 5,000단어 | 30~50개 | 블로그 3 + 카루셀 5 + 슬라이드 25 + 뉴스레터 2 |
| 인터뷰 30분 | 20~30개 | 클립 5 + 트윗 10 + 블로그 1 + 카루셀 3 |
| 강연 60분 | 40~60개 | 블로그 3 + 카루셀 5 + 트윗 15 + 뉴스레터 2 |
© revfactory, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in ko/04-content-repurposer/.claude/skills/content-atomization of revfactory/harness-100.
Open the folder on GitHubat commit 8e8d35c
Compare with similar skills
Content Atomization next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Content Atomization this skillrevfactory/harness-100 | 1.3k | — | ~745 | Automated safety check: Pass | Apache-2.0 | |
| Presentation Builderbionic-gpt/bionic-gpt | 2.4k | — | ~458 | Automated safety check: Pass | Apache-2.0 | |
| Presentationsasgeirtj/system_prompts_leaks | 69k | — | ~858 | Automated safety check: Pass | CC0-1.0 | |
| PresentationRightNow-AI/openfang | 18k | — | ~829 | Automated safety check: Pass | Apache-2.0 | |
| Presentation BuilderFerroxLabs/wayland | 608 | — | ~4.3k | Automated safety check: Pass | Apache-2.0 | |
| AI Presenter VideoNousResearch/hermes-agent | 252k | — | ~2.3k | Automated safety check: Pass | MIT |
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Questions about Content Atomization
What does Content Atomization do?
원본분석가(source-analyst)와 프레젠테이션빌더(presentation-builder)가 사용하는 콘텐츠 원자화 전문 스킬. Content Atomization is an agent skill from revfactory/harness-100. 원본분석가(source-analyst)와 프레젠테이션빌더(presentation-builder)가 사용하는 콘텐츠 원자화 전문 스킬.
How do I install Content Atomization in Claude Code?
Run `npx skills add revfactory/harness-100 --skill content-atomization -a claude-code`. Or copy the skill folder (ko/04-content-repurposer/.claude/skills/content-atomization in revfactory/harness-100) into .claude/skills/content-atomization in your project. Claude Code loads it when a task matches its description.
How do I install Content Atomization in Codex?
Run `npx skills add revfactory/harness-100 --skill content-atomization -a codex`. Or copy the skill folder (ko/04-content-repurposer/.claude/skills/content-atomization in revfactory/harness-100) into .agents/skills/content-atomization in your project. Codex loads it when a task matches its description.
Can I use Content Atomization in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add revfactory/harness-100 --skill content-atomization -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/content-atomization, .gemini/skills/content-atomization, .github/skills/content-atomization and .opencode/skills/content-atomization in your project.
What does Content Atomization need to run?
SKILL.md names no scripts, command-line tools or credentials: Content Atomization is instructions for the agent only.
Does Content Atomization access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Content Atomization safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Content Atomization use?
Content Atomization is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Content Atomization use?
About 745 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Content Atomization?
Skills that share tags, products or a category with Content Atomization: Presentation Builder (bionic-gpt/bionic-gpt, 2.4k stars), Presentations (asgeirtj/system_prompts_leaks, 69k stars), Presentation (RightNow-AI/openfang, 18k stars) and Presentation Builder (FerroxLabs/wayland, 608 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Content Atomization?
revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.
Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.