Agent skill

Text Analytics Methods

Text analytics methodology. An agent skill from revfactory/harness-100.

Apache-2.0Auto-check passedAI & LLM Engineering

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/en/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/

Paste into Claude Code

Install the "text-analytics-methods" agent skill from https://github.com/revfactory/harness-100/tree/main/en/93-feedback-analyzer/.claude/skills/text-analytics-methods into .claude/skills/text-analytics-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-analytics-methods", 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

$skill-installer install https://github.com/revfactory/harness-100/tree/main/en/93-feedback-analyzer/.claude/skills/text-analytics-methods

Type 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.

skills CLI

$ npx skills add revfactory/harness-100 --skill text-analytics-methods -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 text-analytics-methods --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "text-analytics-methods" agent skill from https://github.com/revfactory/harness-100/tree/main/en/93-feedback-analyzer/.claude/skills/text-analytics-methods into .agents/skills/text-analytics-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-analytics-methods", 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.

skills CLI

$ npx skills add revfactory/harness-100 --skill text-analytics-methods -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 text-analytics-methods --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "text-analytics-methods" agent skill from https://github.com/revfactory/harness-100/tree/main/en/93-feedback-analyzer/.claude/skills/text-analytics-methods into .cursor/skills/text-analytics-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-analytics-methods", 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

$ gemini skills install https://github.com/revfactory/harness-100.git --path en/93-feedback-analyzer/.claude/skills/text-analytics-methods

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add revfactory/harness-100 --skill text-analytics-methods -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 text-analytics-methods --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.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/

Paste into Gemini CLI

Install the "text-analytics-methods" agent skill from https://github.com/revfactory/harness-100/tree/main/en/93-feedback-analyzer/.claude/skills/text-analytics-methods into .gemini/skills/text-analytics-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-analytics-methods", 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.

GitHub CLI

$ gh skill install revfactory/harness-100 text-analytics-methods

Installs 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).

skills CLI

$ npx skills add revfactory/harness-100 --skill text-analytics-methods -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

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

Use ~/.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/

Paste into GitHub Copilot

Install the "text-analytics-methods" agent skill from https://github.com/revfactory/harness-100/tree/main/en/93-feedback-analyzer/.claude/skills/text-analytics-methods into .github/skills/text-analytics-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-analytics-methods", 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.

skills CLI

$ npx skills add revfactory/harness-100 --skill text-analytics-methods -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install revfactory/harness-100 text-analytics-methods --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

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

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "text-analytics-methods" agent skill from https://github.com/revfactory/harness-100/tree/main/en/93-feedback-analyzer/.claude/skills/text-analytics-methods into .opencode/skills/text-analytics-methods/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-analytics-methods", 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: text-analytics-methods
GitHub stars: 1.3k
Token cost: ~877 tokens
SKILL.md length: 137 words
Files: 1
Skills in repo: 464
Repo updated: Mar 22, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Text analytics methodology. An agent skill from revfactory/harness-100.

Tasks that involve Customer feedback analysis
SKILL.md covers Topic Classification Methodology, Keyword Analysis, Trend Analysis Techniques and Insight Derivation Framework, 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. Text analytics methodology. Referenced by topic-classifier and trend-detector agents when extracting topics and deriving trends from unstructured text. Used for 'topic classification', 'keyword analysis', 'text mining' requests. Note: NLP model training and large-scale data processing pipeline development are out of scope.

Its SKILL.md is about 880 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 AI & LLM Engineering, covering Customer feedback analysis, Natural language processing and Fine-tuning. The licence is Apache-2.0.

When your agent uses it

Tasks that involve Customer feedback analysis
Tasks that involve Natural language processing
Tasks that involve Fine-tuning

Example prompts

“topic classification”
“keyword analysis”
“text mining”
“/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 877 tokens when it runs. Until then it costs about 87 tokens; SKILL.md has 137 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~87
When it runs · the whole SKILL.md, loaded when a task matches: ~877

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). 137 words, ~877 tokens.

Download SKILL.mdSave it as .claude/skills/text-analytics-methods/SKILL.md (or your agent's skills folder).

name: text-analytics-methods
description: Text analytics methodology. Referenced by topic-classifier and trend-detector agents when extracting topics and deriving trends from unstructured text. Used for 'topic classification', 'keyword analysis', 'text mining' requests. Note: NLP model training and large-scale data processing pipeline development are out of scope.

Text Analytics Methods

Enhances the text analysis capabilities of topic-classifier / trend-detector agents.

Topic Classification Methodology

Bottom-up Classification

1. Read all feedback (sample: 100+ entries)
2. Identify recurring keywords/phrases
3. Cluster similar keywords
4. Assign topic names to clusters
5. Finalize topic system (MECE verification)
6. Tag all data with topics

Top-down Classification

Pre-defined categories:
├── Product/Service Quality
│   ├── Features
│   ├── Performance
│   ├── Design
│   └── Reliability
├── Customer Experience
│   ├── Usability
│   ├── Customer Support
│   ├── Purchase Process
│   └── Delivery
├── Price/Value
│   ├── Price Level
│   ├── Value for Money
│   └── Discounts/Promotions
└── Other
    ├── Competitor Comparison
    └── Improvement Requests

Keyword Analysis

TF-IDF Concept Application

TF (Term Frequency) = Word frequency in a specific document
IDF (Inverse Document Frequency) = Rarity across all documents
TF-IDF = TF × IDF

High TF-IDF = Words important in a specific document but uncommon overall
→ Useful for identifying feedback anomalies

Keyword Extraction Process

1. Remove stop words: articles, conjunctions, common verbs
2. Extract nouns/adjectives
3. Calculate frequency (top 30)
4. N-gram analysis (2-gram, 3-gram)
   "slow delivery", "support not reachable"
5. Keyword cloud visualization

Trend Analysis Techniques

Time-series Topic Trends

Topic	Q1	Q2	Q3	Q4	Trend
Delivery	15%	18%	22%	25%	↑ Attention
Quality	30%	28%	25%	20%	↓ Improving
Price	20%	22%	20%	21%	→ Stable

Anomaly Detection Criteria

Anomaly signals:
- Topic ratio +50% vs previous period → urgent analysis
- Negative sentiment surge of +0.3 or more → investigate cause
- New keyword emergence (absent in previous quarter) → new issue

Insight Derivation Framework

Pyramid Principle (So What?)

Level 1 (Data): "Delivery complaints at 25%, up 7pp from previous quarter"
Level 2 (Analysis): "Delivery delays mainly caused by new logistics partner switch"
Level 3 (Insight): "Need to renegotiate logistics SLA or revert to previous provider"
Level 4 (Action): "Request SLA review from logistics team, improvement plan due in 2 weeks"

Action Priority Matrix

Insight	Frequency	Sentiment Intensity	Impact	Ease of Implementation	Priority
Delivery improvement	High	-0.8	High	Medium	★★★★★
UI improvement	Medium	-0.5	Medium	High	★★★★
New feature A	Low	+0.3	Low	Low	★★

Quality Checklist

Item	Criteria
Classification system	MECE (Mutually Exclusive, Collectively Exhaustive)
Sample size	100+ entries or full dataset
Multi-tagging	Multiple topics per entry allowed
Trends	Minimum 3-period comparison
So What	Data → Analysis → Insight → Action
Visualization	Keyword cloud + trend chart

Files

Just SKILL.md in en/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
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Text Analytics Methods this skillrevfactory/harness-100	1.3k	—	~877	Automated safety check: Pass	Apache-2.0	6 mo ago
Sentiment AnalysisDrchronx/ai-agent-research-starter-kit	134	—	~516	Automated safety check: Pass	Custom licence	4 mo ago
Text Mining ProtocolFerroxLabs/wayland	608	—	~4.8k	Automated safety check: Pass	Apache-2.0	yesterday
Hugging Face Transformers Usagedavila7/claude-code-templates	32k	12 repos	~1.2k	Automated safety check: Pass	MIT	today
Running Zeroshot Nermaziyarpanahi/openmed	5.5k	—	~1.7k	Automated safety check: Pass	Apache-2.0	yesterday
NLP Alignmentaiming-lab/AutoResearchClaw	15k	—	~300	Automated safety check: Pass	MIT	1 mo ago

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Questions about Text Analytics Methods

What does Text Analytics Methods do?

Text analytics methodology. An agent skill from revfactory/harness-100. Text Analytics Methods is an agent skill from revfactory/harness-100. Text analytics methodology.

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; tasks that involve Fine-tuning.

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 (en/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 (en/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 877 tokens (SKILL.md is roughly 3.5k 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), Text Mining Protocol (FerroxLabs/wayland, 608 stars), Hugging Face Transformers Usage (davila7/claude-code-templates, 32k stars) and Running Zeroshot Ner (maziyarpanahi/openmed, 5.5k 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.

Install Text Analytics Methods

Facts

At a glance

What it does

When your agent uses it

Example prompts

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Text Analytics Methods

Topic Classification Methodology

Bottom-up Classification

Top-down Classification

Keyword Analysis

TF-IDF Concept Application

Keyword Extraction Process

Trend Analysis Techniques

Time-series Topic Trends

Anomaly Detection Criteria

Insight Derivation Framework

Pyramid Principle (So What?)

Action Priority Matrix

Quality Checklist

Files

Compare with similar skills

Similar skills

More from revfactory/harness-100

Related

Questions about Text Analytics Methods