customer-personas
Skill8 starsChanged 4 months agoNo licenceView on GitHub
Researches and documents an ideal customer profile (ICP) and evidence-based buyer personas: data sources, customer interview scripts, persona templates covering goals, pains, triggers, objections, and watering holes, plus anti-personas and activation in copy and targeting. Use when the user asks to define their ICP or target customer, create buyer personas, write customer interview questions or scripts, segment their audience, build an anti-persona, document customer pains and buying triggers, figure out who their best customers are, or translate persona research into ad targeting and messaging.
We split this skill into the rules it gives an agent
14 rules. About 0 are common, 14 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈14
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 308,232 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.
In this repository68 other files it gives its agents.
- ab-testingSkill
- ad-copywritingSkill
- affiliate-programSkill
- analytics-reportingSkill
- blog-writingSkill
- brand-messagingSkill
- business-planSkill
- case-studiesSkill
- churn-preventionSkill
- cold-email-outreachSkill
- community-managementSkill
- competitor-analysisSkill
- content-repurposingSkill
- content-strategySkill
- customer-feedback-analysisSkill
- customer-onboardingSkill
- email-deliverabilitySkill
- email-marketingSkill
- email-newslettersSkill
- employee-onboardingSkill
- financial-projectionsSkill
- follow-up-sequencesSkill
- funnel-analysisSkill
- google-adsSkill
- go-to-marketSkill
- help-docsSkill
- influencer-marketingSkill
- interview-kitsSkill
- job-descriptionsSkill
- keyword-researchSkill
- kpi-dashboard-designSkill
- landing-page-croSkill
- lead-qualificationSkill
- link-buildingSkill
- linkedin-contentSkill
- linkedin-outreachSkill
- local-seoSkill
- marketing-planSkill
- market-researchSkill
- media-outreachSkill
- meta-adsSkill
- objection-handlingSkill
- okrs-and-goalsSkill
- on-page-seoSkill
- partnership-developmentSkill
- pitch-deckSkill
- podcast-productionSkill
- ppc-auditSkill
- press-releasesSkill
- pricing-strategySkill
- product-launchSkill
- product-requirementsSkill
- retention-cohort-analysisSkill
- reviews-and-testimonialsSkill
- sales-call-scriptsSkill
- sales-pipeline-managementSkill
- sales-proposalsSkill
- seo-content-briefsSkill
- short-form-videoSkill
- social-content-calendarSkill
- The first 60 shown.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

