persona-insights-analysis
Skill9 starsChanged 7 months agoNo licenceView on GitHub
Analyzes sales call transcripts to produce deep, structured persona intelligence reports. Use this skill whenever the user wants to understand their buyers better, extract insights from call recordings, build persona profiles, or analyze patterns across discovery calls — even if they just say "analyze my calls", "what are my buyers saying", "build a persona", "extract insights from transcripts", or share transcripts via CSV, MCP (Claap, Modjo, Gong, Chorus), or raw text paste. Always produces a full persona report with goals, pains, objections, feature requests, verbatims, buying signals, and strategic recommendations.
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- vicfromthegtmclub/gtmskillsedited, first seen Aug 10, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- vicfromthegtmclub/gtmskills★ 199% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository37 other files it gives its agents.
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The file
Show its rules and text
We split this skill into the rules it gives an agent
18 rules. About 0 are common, 18 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈18
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
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