Individual skill
sentiment-analysis-guide
Designs a sentiment analysis approach for text data by selecting the method (lexicon-based vs. model-based), defining sentiment categories, specifying the output format, and producing an interpretation guide for the results. Use when the user asks to analyze sentiment in customer reviews, social media posts, support tickets, employee feedback, or any text corpus for positive, negative, and neutral tone. Do NOT use for manual qualitative coding of interviews (use qualitative-coding), survey question design (use survey-design), or general text mining beyond sentiment (use text-mining-protocol).
src/process/resources/skills-library/bodies/skills/data-analysis/sentiment-analysis-guide/SKILL.md
Source commit 4c030c7b01c241df7b6e3535635a970f10d781af
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Instructions only
- Last checked
- Nov 4, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 618
- Repository last updated
- Oct 31, 2026
- License
- AGPL-3.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- acp Repository topic
- agent-orchestration Repository topic
- ai-agent Repository topic
- claude-code Repository topic
- desktop-app Repository topic
- electron Repository topic
- llm Repository topic
- local-first Repository topic
- mcp Repository topic
- rust Repository topic
- research-analysis-ai-ml Declared skill tag
- engineering Derived category
- design Derived category
- data Derived category
- research Derived category
Files and excerpt
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