Agency Agents (118 Personas)
118 specialized AI agent personas across 11 business divisions: Engineering, Marketing (27), Sales (8), Design, Product, PM, Paid Media (7), Support (6), Testing, Spatial Computing, and Specialized.
- Get a marketing strategist, copywriter, and SEO expert working on your campaign
- Run sales call prep with an AI sales engineer persona
- Draft product requirements with a virtual product manager
78K+ stars. Drop-in virtual agency covering marketing, sales, support, design, and PM. Each agent has defined identity, mission, rules, and success metrics.
Consulting teams and businesses that want domain-expert AI agents for marketing campaigns, sales playbooks, product management, and customer support.
https://github.com/msitarzewski/agency-agents
By msitarzewski
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Trust Signals Reviewed
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Discussed on Hacker News, Reddit
- Tucker Carlson says the CIA read his text messages with Iran and claims the agen — Reddit · 17689 pts
- Tom Steyer announces plan to jail ICE agents, calls agency a ‘violent extremist — Reddit · 16520 pts
- At least 20 ICE & CBP officials have been charged with sex crimes against ch — Reddit · 13112 pts
37 mentions across 2 sources
Reviewer notes
Reviewed review. These are observations, not a security certification.
Local skill files. MIT license. No external calls.
2026-05-10: With 78K stars and 71 contributors this is clearly resonating, but the star count likely reflects the novelty of a well-organized persona library rather than proven production depth—three production mentions is thin for the scale. In practice, this is a structured prompt template collection: useful as a starting scaffold for teams building Claude workflows around marketing copy, sales briefs, or support triage, where you need consistent role framing without writing system prompts from scratch. The honest fit is prototyping and internal tooling, not drop-in agency replacement; persona quality degrades fast if your prompt handoff is sloppy or your domain has specific tone requirements the templates don't anticipate. Pairs well with a routing layer that matches user intent to the right persona automatically—without that, you're doing manual selection and losing most of the value.
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