Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
audience-intelligence
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
audience-intelligence
Best first install candidate based on install readiness and adoption.
Freshest repo
audience-intelligence
Most recent maintenance signal among this shortlist.
| Signal | audience-intelligence Audience research module — builds six-dimension buyer personas (demographic, psychographic, behavioral, need-state, information, decision), Jobs-to-Be-Done maps, RFM/behavioral/lifecycle segmentation models, anti-personas with exclusion criteria, B2B buying-committee maps, and lookalike seed specs. Triggers on \"/digital-marketing-pro:audience-intelligence\", \"who are our customers\", \"build buyer personas\", \"segment our audience\", \"run a JTBD analysis\". Reads the brand profile, industry benchmarks, and campaign history, and works from CRM/survey/analytics data when supplied — or labels hypothesis personas explicitly when data is thin. For a single quick persona document, /digital-marketing-pro:audience-profile is the lighter sibling. |
|---|---|
| Quality | 76/100 Strong |
| Decision verdict | 87/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 792 stars Verified outcomes are shown on each skill page |
| Freshness | Aug 17, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
Skill comparison
Use this as a shortlist, then open the skill detail page before adopting.
Decision summary
Strongest overall
audience-intelligence
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Fastest prototype
audience-intelligence
Best first install candidate based on install readiness and adoption.
Freshest repo
audience-intelligence
Most recent maintenance signal among this shortlist.
| Signal | audience-intelligence Audience research module — builds six-dimension buyer personas (demographic, psychographic, behavioral, need-state, information, decision), Jobs-to-Be-Done maps, RFM/behavioral/lifecycle segmentation models, anti-personas with exclusion criteria, B2B buying-committee maps, and lookalike seed specs. Triggers on \"/digital-marketing-pro:audience-intelligence\", \"who are our customers\", \"build buyer personas\", \"segment our audience\", \"run a JTBD analysis\". Reads the brand profile, industry benchmarks, and campaign history, and works from CRM/survey/analytics data when supplied — or labels hypothesis personas explicitly when data is thin. For a single quick persona document, /digital-marketing-pro:audience-profile is the lighter sibling. |
|---|---|
| Quality | 76/100 Strong |
| Decision verdict | 87/100 Production-ready Use this as a leading candidate, then validate the README and install path in your own agent stack. |
| Adoption | 792 stars Verified outcomes are shown on each skill page |
| Freshness | Aug 17, 2026 |
| Use-case fit | |
| Workflow fit | |
| Platform hints | Claude Code |
| Warnings | No OpenAgentSkill engagement data yet |
| Best for | Research agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add indranilbanerjee/digital-marketing-pro --skill audience-intelligence |
| Best for | Research agents workflows · Claude Code teams · teams that value GitHub adoption signals |
| Not ideal for | teams that need a vendor-supported SLA · high-compliance environments without internal security review |
| OpenAgentSkill engagement | 0 views 0 install copies |
| Install | $ npx skills add indranilbanerjee/digital-marketing-pro --skill audience-intelligence |