A complete SKILL.md tutorial: the two required frontmatter fields, the optional ones, the three-tier progressive disclosure model, when to add scripts and references, and three ways to build your first agent skill — by hand, by chatting with Claude, or with Agentman's no-code builder.
A layered model — industry intelligence at the base, firm-specific knowledge in the middle, and transaction-level intelligence on top, each codified as a skill — beats monolithic AI and compounds with every transaction.
We deployed an inbox triage agent at Valley Diabetes & Obesity to clear a 47-fax morning pile. Ten months later it auto-routes 80% of inbound fax, email, and voicemail and has recaptured $50K+ — but the real story is the 20% it couldn't classify, where device recalls, self-generated prior auths, and hospital hand-backs were quietly slipping through.
Domain experts can build production AI agent skills without code or AI engineers. Describe the behavior, attach examples, generate the skill. Here's how.
You don't need to code to build AI agent skills. Here's the plain-English, no-code workflow to take a non-developer from idea to a deployed agent skill in under 10 minutes — plus how the same approach powers MedMan's healthcare agents.
Agentman's Prasad Thammineni and Sachin Gangupantula joined Tyler Lo on the Bridging Healthcare Gaps podcast to explain why agentic AI matters for independent specialty practices — from eligibility verification that protects $50K–$80K per physician per year to the agent-skills flywheel, plus the governance and risk questions that come with clinical AI.
AI agents won't replace knowledge workers — they'll reinvent them. In a conversation on Camber Creek's Catalyst podcast, Agentman founder Prasad Thammineni explains why human adoption, not technology, is the real bottleneck, and how anyone can join the 1% by becoming an \\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"Intelligence Architect.\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\\"
Why AI audit trails, citations, and access controls aren't optional in regulated healthcare and PE — the governance-first architecture explained, with 2025–2026 data.
Healthcare AI has a unique network effect that no horizontal SaaS company can replicate: when one independent specialty practice's eligibility verification agent encounters a new payer denial pattern, every practice on the platform inherits the learned pattern the same day. The Healthcare Intelligence Layer is shared infrastructure for back-office automation — and the 2025–2026 denial economics make it the most durable moat in vertical healthcare AI.
Independent specialty practices collect roughly 60 cents on every gross dollar billed because revenue leaks at four sequential checkpoints — eligibility, prior authorization, documentation, and denial recovery. Automating all four with agent skills closes the loop, and the 2026 industry benchmarks now make the financial case decisive.
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