Agent skill

Text Analytics Methods

by revfactory in revfactory/harness-100

텍스트 분석 방법론. An agent skill from revfactory/harness-100.

Apache-2.0Auto-check passedSales & Support

Install Text Analytics Methods

skills CLI
$ npx skills add revfactory/harness-100 --skill text-analytics-methods -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install revfactory/harness-100 text-analytics-methods --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ko/93-feedback-analyzer/.claude/skills/text-analytics-methods .claude/skills/text-analytics-methods && rm -rf skills-src

Use ~/.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/

Facts

Skill name
text-analytics-methods
GitHub stars
1.3k
Token cost
~518 tokens
SKILL.md length
134 words
Files
1
Skills in repo
464
Repo updated
First seen
Licence
Apache-2.0

At a glance

텍스트 분석 방법론. An agent skill from revfactory/harness-100.

  • Tasks that involve Customer feedback analysis
  • SKILL.md covers 주제 분류 방법론, 키워드 분석, 트렌드 분석 기법 and 인사이트 도출 프레임워크, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Tasks that involve Natural language processing

What it does

Text Analytics Methods is an agent skill from revfactory/harness-100. 텍스트 분석 방법론. topic-classifier와 trend-detector 에이전트가 비정형 텍스트에서 주제를 추출하고 트렌드를 도출할 때 참조. '주제 분류', '키워드 분석', '텍스트 마이닝' 요청 시 사용. 단, NLP 모델 학습이나 대규모 데이터 처리 파이프라인 구축은 범위 밖.

Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Sales & Support, covering Customer feedback analysis and Natural language processing. The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Customer feedback analysis
  • Tasks that involve Natural language processing

Example prompts

  • “/text-analytics-methods”

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

Text Analytics Methods loads about 518 tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 134 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~518

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). 134 words, ~518 tokens.

Download SKILL.mdSave it as .claude/skills/text-analytics-methods/SKILL.md (or your agent's skills folder).
name
text-analytics-methods
description
텍스트 분석 방법론. topic-classifier와 trend-detector 에이전트가 비정형 텍스트에서 주제를 추출하고 트렌드를 도출할 때 참조. '주제 분류', '키워드 분석', '텍스트 마이닝' 요청 시 사용. 단, NLP 모델 학습이나 대규모 데이터 처리 파이프라인 구축은 범위 밖.

Text Analytics Methods — 텍스트 분석 방법론

topic-classifier / trend-detector 에이전트의 텍스트 분석 역량 강화.

주제 분류 방법론

상향식 분류 (Bottom-up)
1. 피드백 전체 읽기 (샘플링: 100건 이상)
2. 반복 키워드/구문 식별
3. 유사 키워드 클러스터링
4. 클러스터에 주제명 부여
5. 주제 체계 확정 (MECE 검증)
6. 전체 데이터에 주제 태깅
하향식 분류 (Top-down)
사전 정의 카테고리:
├── 제품/서비스 품질
│   ├── 기능
│   ├── 성능
│   ├── 디자인
│   └── 안정성
├── 고객 경험
│   ├── 사용 편의성
│   ├── 고객 지원
│   ├── 구매 과정
│   └── 배송
├── 가격/가치
│   ├── 가격 수준
│   ├── 가성비
│   └── 할인/프로모션
└── 기타
    ├── 경쟁사 비교
    └── 개선 요청

키워드 분석

TF-IDF 개념 적용
TF (Term Frequency) = 특정 문서에서 단어 빈도
IDF (Inverse Document Frequency) = 전체 문서 중 희소성
TF-IDF = TF × IDF

높은 TF-IDF = 특정 문서에서 중요하지만 흔하지 않은 단어
→ 피드백 특이사항 파악에 유용
키워드 추출 절차
1. 불용어 제거: 조사, 접속사, 일반 동사
2. 명사/형용사 추출
3. 빈도 계산 (상위 30개)
4. n-gram 분석 (2-gram, 3-gram)
   "배송 느림", "고객센터 연결 안됨"
5. 키워드 클라우드 시각화

트렌드 분석 기법

시계열 주제 추이
주제Q1Q2Q3Q4추세
배송15%18%22%25%↑ 주의
품질30%28%25%20%↓ 개선
가격20%22%20%21%→ 안정
이상 탐지 기준
이상 신호:
- 특정 주제 비율 전기 대비 +50% → 긴급 분석
- 부정 감성 +0.3 이상 급등 → 원인 조사
- 신규 키워드 급부상 (이전 분기 미출현) → 신규 이슈

인사이트 도출 프레임워크

피라미드 원칙 (So What?)
Level 1 (데이터): "배송 불만이 25%로 전분기 대비 7%p 증가"
Level 2 (분석): "신규 물류사 전환 후 배송 지연이 주 원인"
Level 3 (인사이트): "물류사 SLA 재협상 또는 기존 업체 복귀 필요"
Level 4 (액션): "물류팀에 SLA 검토 요청, 2주 내 개선안 보고"
액션 우선순위 매트릭스
인사이트빈도감성 강도영향실행 용이우선순위
배송 개선높음-0.8높음중간★★★★★
UI 개선중간-0.5중간높음★★★★
신기능 A낮음+0.3낮음낮음★★

품질 체크리스트

항목기준
분류 체계MECE (중복 없고 빠짐 없이)
샘플 크기100건 이상 또는 전수
다중 태깅1건에 복수 주제 허용
트렌드최소 3기간 비교
So What데이터→분석→인사이트→액션
시각화키워드 클라우드 + 추이 차트

© 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/93-feedback-analyzer/.claude/skills/text-analytics-methods of revfactory/harness-100.

Open the folder on GitHubat commit 8e8d35c

Compare with similar skills

Text Analytics Methods 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.

Text Analytics Methods compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Text Analytics Methods this skillrevfactory/harness-1001.3k—~518Automated safety check: PassApache-2.0
Sentiment AnalysisDrchronx/ai-agent-research-starter-kit134—~516Automated safety check: PassCustom licence
Cs Analyticsasgard-ai-platform/skills241—~1.4kAutomated safety check: PassMIT
Crisis Detection Intervention AIcuriositech/some_claude_skills2433 repos~3.8kAutomated safety check: PassMIT
Azure AI Textanalytics Pymicrosoft/skills3.1k6 repos~2.4kAutomated safety check: PassMIT
Content Analysisliangdabiao/claude-data-analysis-ultra-main2901 repos~1.7kAutomated safety check: NotesNone

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Questions about Text Analytics Methods

What does Text Analytics Methods do?

텍스트 분석 방법론. An agent skill from revfactory/harness-100. Text Analytics Methods is an agent skill from revfactory/harness-100. 텍스트 분석 방법론.

When should I use Text Analytics Methods?

Text Analytics Methods fits situations like: tasks that involve Customer feedback analysis; tasks that involve Natural language processing.

How do I install Text Analytics Methods in Claude Code?

Run `npx skills add revfactory/harness-100 --skill text-analytics-methods -a claude-code`. Or copy the skill folder (ko/93-feedback-analyzer/.claude/skills/text-analytics-methods in revfactory/harness-100) into .claude/skills/text-analytics-methods in your project. Claude Code loads it when a task matches its description.

How do I install Text Analytics Methods in Codex?

Run `npx skills add revfactory/harness-100 --skill text-analytics-methods -a codex`. Or copy the skill folder (ko/93-feedback-analyzer/.claude/skills/text-analytics-methods in revfactory/harness-100) into .agents/skills/text-analytics-methods in your project. Codex loads it when a task matches its description.

Can I use Text Analytics Methods 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 text-analytics-methods -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/text-analytics-methods, .gemini/skills/text-analytics-methods, .github/skills/text-analytics-methods and .opencode/skills/text-analytics-methods in your project.

What does Text Analytics Methods need to run?

SKILL.md names no scripts, command-line tools or credentials: Text Analytics Methods is instructions for the agent only.

Does Text Analytics Methods 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 Text Analytics Methods 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 Text Analytics Methods use?

Text Analytics Methods 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 Text Analytics Methods use?

About 518 tokens (SKILL.md is roughly 2.1k 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 Text Analytics Methods?

Skills that share tags, products or a category with Text Analytics Methods: Sentiment Analysis (Drchronx/ai-agent-research-starter-kit, 134 stars), Cs Analytics (asgard-ai-platform/skills, 241 stars), Crisis Detection Intervention AI (curiositech/some_claude_skills, 243 stars) and Azure AI Textanalytics Py (microsoft/skills, 3.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Text Analytics Methods?

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.