Audience Analyst
holaboss-ai/holaOS
Turns audience demographics and engagement data into a few ranked segments with profiles, per-segment content recommendations and notes on data quality.
분석가(analyst)와 큐레이터(curator)가 사용하는 독자 세그멘테이션 전문 스킬. An agent skill from revfactory/harness-100.
Apache-2.0Auto-check passed
Install Audience Segmentation
$ npx skills add revfactory/harness-100 --skill audience-segmentation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install revfactory/harness-100 audience-segmentation --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/03-newsletter-engine/.claude/skills/audience-segmentation .claude/skills/audience-segmentation && 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 "audience-segmentation" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/03-newsletter-engine/.claude/skills/audience-segmentation into .claude/skills/audience-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-segmentation", 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/03-newsletter-engine/.claude/skills/audience-segmentationType 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 audience-segmentation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install revfactory/harness-100 audience-segmentation --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/03-newsletter-engine/.claude/skills/audience-segmentation .agents/skills/audience-segmentation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "audience-segmentation" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/03-newsletter-engine/.claude/skills/audience-segmentation into .agents/skills/audience-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-segmentation", 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 audience-segmentation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install revfactory/harness-100 audience-segmentation --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/03-newsletter-engine/.claude/skills/audience-segmentation .cursor/skills/audience-segmentation && 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 "audience-segmentation" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/03-newsletter-engine/.claude/skills/audience-segmentation into .cursor/skills/audience-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-segmentation", 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/03-newsletter-engine/.claude/skills/audience-segmentation--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 audience-segmentation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install revfactory/harness-100 audience-segmentation --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/03-newsletter-engine/.claude/skills/audience-segmentation .gemini/skills/audience-segmentation && 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 "audience-segmentation" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/03-newsletter-engine/.claude/skills/audience-segmentation into .gemini/skills/audience-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-segmentation", 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 audience-segmentationInstalls 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 audience-segmentation -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/03-newsletter-engine/.claude/skills/audience-segmentation .github/skills/audience-segmentation && 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 "audience-segmentation" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/03-newsletter-engine/.claude/skills/audience-segmentation into .github/skills/audience-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-segmentation", 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 audience-segmentation -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 audience-segmentation --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/03-newsletter-engine/.claude/skills/audience-segmentation .opencode/skills/audience-segmentation && 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 "audience-segmentation" agent skill from https://github.com/revfactory/harness-100/tree/main/ko/03-newsletter-engine/.claude/skills/audience-segmentation into .opencode/skills/audience-segmentation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "audience-segmentation", 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
audience-segmentation- GitHub stars
- 1.3k
- Token cost
- ~749 tokens
- SKILL.md length
- 439 words
- Files
- 1
- Skills in repo
- 464
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
분석가(analyst)와 큐레이터(curator)가 사용하는 독자 세그멘테이션 전문 스킬. An agent skill from revfactory/harness-100.
- SKILL.md covers 왜 세그멘테이션이 필요한가, 뉴스레터 세그멘테이션 모델: BEAR 프레임워크, 세그먼트별 콘텐츠 전략 and 발송 시간 최적화 매트릭스, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Audience Segmentation is an agent skill from revfactory/harness-100. 분석가(analyst)와 큐레이터(curator)가 사용하는 독자 세그멘테이션 전문 스킬. 구독자 행동 분석, 페르소나 기반 콘텐츠 맞춤화, 세그먼트별 전략 수립 방법론을 제공한다. '독자 분석', '세그멘테이션', '페르소나', '발송 최적화' 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
- “/audience-segmentation”
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
Audience Segmentation loads about 749 tokens when it runs. Until then it costs about 42 tokens; SKILL.md has 439 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). 439 words, ~749 tokens.
Download SKILL.mdSave it as
.claude/skills/audience-segmentation/SKILL.md (or your agent's skills folder).- name
- audience-segmentation
- description
- 분석가(analyst)와 큐레이터(curator)가 사용하는 독자 세그멘테이션 전문 스킬. 구독자 행동 분석, 페르소나 기반 콘텐츠 맞춤화, 세그먼트별 전략 수립 방법론을 제공한다. '독자 분석', '세그멘테이션', '페르소나', '발송 최적화' 등에 활용한다.
Audience Segmentation — 독자 세그멘테이션 전문 방법론
analyst와 curator 에이전트가 콘텐츠 전략과 A/B 테스트를 설계할 때 활용하는 독자 분류 전문 지식.
왜 세그멘테이션이 필요한가
구독자 1,000명에게 같은 이메일을 보내면 평균적으로 아무도 만족하지 않는 콘텐츠가 된다. 세그멘테이션은 "누구에게 무엇을 보낼지"를 결정하는 기술이다.
뉴스레터 세그멘테이션 모델: BEAR 프레임워크
B — Behavior (행동 기반)
| 행동 세그먼트 | 정의 | 전략 |
|---|---|---|
| 열성 독자 | 최근 5회 연속 오픈 | 심층 콘텐츠, 독점 자료 제공 |
| 간헐적 독자 | 5회 중 2~3회 오픈 | 제목줄 최적화, 핵심만 간결하게 |
| 이탈 위험 | 최근 3회 연속 미오픈 | 재관여(re-engagement) 캠페인 |
| 신규 구독자 | 가입 후 30일 이내 | 웰컴 시리즈, 베스트 콘텐츠 큐레이션 |
| 클릭 액티브 | 오픈 후 링크 클릭 비율 높음 | 딥다이브 콘텐츠, CTA 중심 |
E — Engagement Level (참여 수준)
참여도를 0~100 스코어로 산출한다:
참여 스코어 = (오픈율 가중치 x 40) + (클릭률 가중치 x 35) + (답장/공유 x 25)
- 80~100: VIP — 커뮤니티 초대, 사전 콘텐츠 접근권
- 50~79: 코어 — 표준 뉴스레터 + 월 1회 특별 콘텐츠
- 20~49: 캐주얼 — 핵심 요약 버전, 짧은 포맷
- 0~19: 휴면 — 재관여 시퀀스 → 반응 없으면 리스트 정리A — Attribute (속성 기반)
| 속성 | 분류 기준 | 콘텐츠 차별화 |
|---|---|---|
| 직군 | 개발자 / 마케터 / 경영진 / 디자이너 | 사례와 용어 수준 조절 |
| 경험 수준 | 초급 / 중급 / 전문가 | 기초 설명 포함 여부 |
| 관심 주제 | 태그/카테고리별 클릭 이력 | 주제별 맞춤 큐레이션 |
| 가입 경로 | 블로그 / SNS / 추천 / 이벤트 | 초기 기대치에 맞춘 온보딩 |
R — Recency-Frequency (시간-빈도)
| 세그먼트 | R (최근 오픈) | F (오픈 빈도) | 전략 |
|---|---|---|---|
| 챔피언 | 최근 7일 | 매호 오픈 | 독점 콘텐츠, 추천인 프로그램 유도 |
| 충성 독자 | 최근 14일 | 2회 중 1회+ | 표준 콘텐츠, 피드백 요청 |
| 잠재 이탈 | 14~30일 전 | 감소 추세 | "놓치셨나요?" 리마인더 |
| 휴면 | 30일+ | 거의 0 | 최후 재관여 → 미반응 시 제거 |
세그먼트별 콘텐츠 전략
웰컴 시리즈 (신규 구독자 전용)
| 일차 | 이메일 | 목적 |
|---|---|---|
| D+0 | 환영 + 자기소개 + 기대치 설정 | 첫인상, 발행 주기/톤 안내 |
| D+2 | 역대 인기 콘텐츠 TOP 3 | 뉴스레터의 가치 증명 |
| D+5 | "당신에 대해 알고 싶어요" — 간단 설문 | 세그먼트 분류 데이터 수집 |
| D+10 | 독점 콘텐츠 또는 리소스 제공 | 장기 구독 유인 |
Show full SKILL.md (182 more words)Show less
재관여 시퀀스 (이탈 위험 독자)
| 순서 | 제목줄 패턴 | 전략 |
|---|---|---|
| 1회차 | "요즘 바쁘신 거 알아요 — 이것만 읽어보세요" | 최고 콘텐츠 1개만 압축 제공 |
| 2회차 | "혹시 스팸함에 있었나요?" | 화이트리스트 요청 + 기술적 해결 |
| 3회차 | "솔직히 말씀드릴게요 — 구독을 유지할 이유" | 가치 재확인, 빈도 조절 옵션 제공 |
| 미반응 | 리스트에서 제거 | 건강한 리스트 유지 (도달률 보호) |
발송 시간 최적화 매트릭스
| 구독자 유형 | 최적 요일 | 최적 시간 | 근거 |
|---|---|---|---|
| B2B 전문가 | 화~목 | 오전 8~10시 | 출근 후 이메일 체크 시간대 |
| 개발자/테크 | 화, 목 | 오전 7~8시 | 일찍 시작하는 습관 |
| B2C 일반 | 토, 일 | 오전 10~12시 | 주말 여유 시간 |
| 경영진/의사결정자 | 화, 수 | 오전 6~7시 | 하루 시작 전 체크 |
| 글로벌 혼합 | 화 | UTC 14:00 | 시간대 교차 최적점 |
콘텐츠 개인화 수준
| 수준 | 방법 | 복잡도 | 효과 |
|---|---|---|---|
| L1 | 이름 삽입 ([이름]님, 안녕하세요) | 낮음 | 오픈율 +10~15% |
| L2 | 관심 주제별 섹션 순서 변경 | 중간 | 클릭률 +20~30% |
| L3 | 세그먼트별 완전 다른 콘텐츠 버전 | 높음 | 클릭률 +40~60% |
| L4 | 개인별 AI 추천 큐레이션 | 매우 높음 | 클릭률 +50~80% |
뉴스레터 건강 지표
| 지표 | 건강 | 주의 | 위험 |
|---|---|---|---|
| 오픈율 | 40%+ | 25~39% | 25% 미만 |
| 클릭률 | 5%+ | 2~4% | 2% 미만 |
| 구독 해지율 | 0.3% 미만 | 0.3~0.5% | 0.5%+ |
| 스팸 신고율 | 0.01% 미만 | 0.01~0.05% | 0.05%+ |
| 리스트 성장률 | 월 5%+ | 1~4% | 0% 미만 |
© 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/03-newsletter-engine/.claude/skills/audience-segmentation of revfactory/harness-100.
Open the folder on GitHubat commit 8e8d35c
Compare with similar skills
Audience Segmentation 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 |
|---|---|---|---|---|---|---|
| Audience Segmentation this skillrevfactory/harness-100 | 1.3k | — | ~749 | Automated safety check: Pass | Apache-2.0 | |
| Audience Analystholaboss-ai/holaOS | 11k | — | ~598 | Automated safety check: Pass | Custom licence | |
| Audience Segment Builderaaron-he-zhu/aaron-marketing-skills | 2.9k | 2 repos | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Segment Audienceindranilbanerjee/digital-marketing-pro | 854 | 1 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Homelab Vlan Segmentationaffaan-m/ECC | 274k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Segment Cdpdavila7/claude-code-templates | 32k | 1 repos | ~354 | Automated safety check: Pass | MIT |
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Questions about Audience Segmentation
What does Audience Segmentation do?
분석가(analyst)와 큐레이터(curator)가 사용하는 독자 세그멘테이션 전문 스킬. An agent skill from revfactory/harness-100. Audience Segmentation is an agent skill from revfactory/harness-100. 분석가(analyst)와 큐레이터(curator)가 사용하는 독자 세그멘테이션 전문 스킬.
How do I install Audience Segmentation in Claude Code?
Run `npx skills add revfactory/harness-100 --skill audience-segmentation -a claude-code`. Or copy the skill folder (ko/03-newsletter-engine/.claude/skills/audience-segmentation in revfactory/harness-100) into .claude/skills/audience-segmentation in your project. Claude Code loads it when a task matches its description.
How do I install Audience Segmentation in Codex?
Run `npx skills add revfactory/harness-100 --skill audience-segmentation -a codex`. Or copy the skill folder (ko/03-newsletter-engine/.claude/skills/audience-segmentation in revfactory/harness-100) into .agents/skills/audience-segmentation in your project. Codex loads it when a task matches its description.
Can I use Audience Segmentation 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 audience-segmentation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/audience-segmentation, .gemini/skills/audience-segmentation, .github/skills/audience-segmentation and .opencode/skills/audience-segmentation in your project.
What does Audience Segmentation need to run?
SKILL.md names no scripts, command-line tools or credentials: Audience Segmentation is instructions for the agent only.
Does Audience Segmentation 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 Audience Segmentation 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 Audience Segmentation use?
Audience Segmentation 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 Audience Segmentation use?
About 749 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 Audience Segmentation?
Skills that share tags, products or a category with Audience Segmentation: Audience Analyst (holaboss-ai/holaOS, 11k stars), Audience Segment Builder (aaron-he-zhu/aaron-marketing-skills, 2.9k stars), Segment Audience (indranilbanerjee/digital-marketing-pro, 854 stars) and Homelab Vlan Segmentation (affaan-m/ECC, 274k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Audience Segmentation?
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.