Agent skill

Sentiment Analysis

by gtmagents in gtmagents/gtm-agents

A skill your agent uses to interpret qualitative feedback, trends, and risks across community channels.

Apache-2.0Auto-check passedSales & Support

Install Sentiment Analysis

skills CLI
$ npx skills add gtmagents/gtm-agents --skill sentiment-analysis -a claude-code

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

GitHub CLI
$ gh skill install gtmagents/gtm-agents sentiment-analysis --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/gtmagents/gtm-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/community-orchestration/skills/sentiment-analysis .claude/skills/sentiment-analysis && 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
sentiment-analysis
GitHub stars
414
Used in
1 other repo
Token cost
~327 tokens
SKILL.md length
140 words
Files
1
Skills in repo
121
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses to interpret qualitative feedback, trends, and risks across community channels.

  • Works in 5 steps: Signal Sources – forums, chat… → Tagging Schema – categorize by emotion,… → Trend Analysis – track frequency over… → …
  • Interpret qualitative feedback
  • SKILL.md covers When to Use, Framework, Templates and Tips
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sentiment Analysis is an agent skill from gtmagents/gtm-agents. Use to interpret qualitative feedback, trends, and risks across community channels.

Its SKILL.md is about 330 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. The repository describes itself as: Production-ready collection of GTM agents and specialized skills for claude code. Covers sales, marketing, customer success, and revenue operations workflows. The licence is Apache-2.0.

When your agent uses it

  • Interpret qualitative feedback
  • Risks across community channels

Example prompts

  • “/sentiment-analysis”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Signal Sources – forums, chat transcripts, surveys, social listening, support tickets.
  2. Tagging Schema – categorize by emotion, topic, product area, persona, and severity.
  3. Trend Analysis – track frequency over time, correlate with launches or incidents.
  4. Risk Scoring – define thresholds for escalation (negative volume, influencer involvement, compliance).
  5. Action Loop – translate findings into comms responses, content updates, or product feedback tasks.

What it can do on your machine

Read from SKILL.md and the folder at commit 78e0419. 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

Sentiment Analysis loads about 327 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 140 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~327

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 gtmagents/gtm-agents at commit 78e0419, republished under its Apache-2.0 licence (© gtmagents). 140 words, ~327 tokens.

Download SKILL.mdSave it as .claude/skills/sentiment-analysis/SKILL.md (or your agent's skills folder).
name
sentiment-analysis
description
Use to interpret qualitative feedback, trends, and risks across community channels.

Community Sentiment Analysis Skill

When to Use

  • Monitoring community tone during launches, incidents, or roadmap changes.
  • Preparing executive updates that require member sentiment context.
  • Prioritizing response or enablement efforts based on emerging themes.

Framework

  1. Signal Sources – forums, chat transcripts, surveys, social listening, support tickets.
  2. Tagging Schema – categorize by emotion, topic, product area, persona, and severity.
  3. Trend Analysis – track frequency over time, correlate with launches or incidents.
  4. Risk Scoring – define thresholds for escalation (negative volume, influencer involvement, compliance).
  5. Action Loop – translate findings into comms responses, content updates, or product feedback tasks.

Templates

  • Sentiment tagging sheet (message → tags → severity → owner).
  • Trend report layout with charts + narrative.
  • Escalation matrix referencing response SLAs.

Tips

  • Combine manual review with NLP dashboards to balance accuracy + scale.
  • Capture representative quotes for exec storytelling.
  • Pair with measure-engagement command to provide recommendations alongside metrics.

© gtmagents, 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 plugins/community-orchestration/skills/sentiment-analysis of gtmagents/gtm-agents.

Open the folder on GitHubat commit 78e0419

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gtmagents/gtm-agents, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Sentiment Analysis 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.

Sentiment Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sentiment Analysis this skillgtmagents/gtm-agents4141 repos~327Automated safety check: PassApache-2.0
Review Analysisliangdabiao/amazon-sorftime-research-MCP-skill9591 repos~2.5kAutomated safety check: PassNone
Bggg Data Amazonbinggandata/bggg-skills605—~1.4kAutomated safety check: PassMIT
Zsxqunnoo/zsxq-skill304—~3.8kAutomated safety check: PassMIT
Roadtrip NavigatorWaybox-AI/roadtrip-skill126—~3.4kAutomated safety check: PassMIT
Always Compareai-analyst-lab/ai-analyst304—~1.4kAutomated safety check: PassMIT

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Categories

Questions about Sentiment Analysis

What does Sentiment Analysis do?

A skill your agent uses to interpret qualitative feedback, trends, and risks across community channels. Sentiment Analysis is an agent skill from gtmagents/gtm-agents. Use to interpret qualitative feedback, trends, and risks across community channels.

When should I use Sentiment Analysis?

Sentiment Analysis fits situations like: interpret qualitative feedback; risks across community channels.

How do I install Sentiment Analysis in Claude Code?

Run `npx skills add gtmagents/gtm-agents --skill sentiment-analysis -a claude-code`. Or copy the skill folder (plugins/community-orchestration/skills/sentiment-analysis in gtmagents/gtm-agents) into .claude/skills/sentiment-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Sentiment Analysis in Codex?

Run `npx skills add gtmagents/gtm-agents --skill sentiment-analysis -a codex`. Or copy the skill folder (plugins/community-orchestration/skills/sentiment-analysis in gtmagents/gtm-agents) into .agents/skills/sentiment-analysis in your project. Codex loads it when a task matches its description.

Can I use Sentiment Analysis 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 gtmagents/gtm-agents --skill sentiment-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sentiment-analysis, .gemini/skills/sentiment-analysis, .github/skills/sentiment-analysis and .opencode/skills/sentiment-analysis in your project.

What does Sentiment Analysis need to run?

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

Does Sentiment Analysis 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 Sentiment Analysis 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 Sentiment Analysis use?

Sentiment Analysis 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 Sentiment Analysis use?

About 327 tokens (SKILL.md is roughly 1.3k 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 Sentiment Analysis?

Skills that share tags, products or a category with Sentiment Analysis: Review Analysis (liangdabiao/amazon-sorftime-research-MCP-skill, 959 stars), Bggg Data Amazon (binggandata/bggg-skills, 605 stars), Zsxq (unnoo/zsxq-skill, 304 stars) and Roadtrip Navigator (Waybox-AI/roadtrip-skill, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sentiment Analysis?

gtmagents (a GitHub user) maintains it in gtmagents/gtm-agents, which has 414 GitHub stars. The repository holds 121 skills in this directory. The repository was last updated on April 3, 2026.

Source: gtmagents/gtm-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.