AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

Rymac Call Funnel

skill-oathdriven-rymac-skills-rymac-call-funnel · by oathdriven

Builds the conversion plumbing that turns site traffic into scheduled calls: chat scheduler, AI voice agent, emergency escalation that pings a live on-call human, non-emergency booking into one shared calendar engine, and after-hours handling. Use when the user asks to "wire up the call funnel", "add the chat scheduler", "set up the voice agent", "convert traffic into scheduled calls", "handle af…

— No reviews yet
0 installs
24 views
0.0% view→install

Install

$ agentstack add skill-oathdriven-rymac-skills-rymac-call-funnel

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-oathdriven-rymac-skills-rymac-call-funnel)

Reliability & compatibility

✓ Security review passed
0 installs to date
— no reviews yet
● 1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Rymac Call Funnel? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

RyMac Call Funnel

Wire a site to convert visitors into scheduled calls, with a human-ping path for emergencies. This is the architecture running live on RyMac's own CRM platform; the pattern works with any stack (a CRM with AI channels, or Vapi/Twilio + a calendar API wired directly).

The architecture (one persona, many channels)

One AI persona serves web chat, SMS, and voice. The persona is rebuilt server-side on every turn from a single profile (business facts, hours, escalation config), so every channel answers with the same brain and the same rules.

Emergency vs non-emergency: it is a COMPOSITE, not a boolean

Do not build a single if (emergency) classifier. The proven pattern is four separable mechanisms, configured per business:

  1. Escalation keywords (the instant human ping). Case-insensitive

keyword match on inbound messages ("urgent", "emergency", "complaint", "speak to manager", plus the niche's own panic words). On match: the AI GOES SILENT and the on-call human is notified immediately with a deep link to the contact. Allow per-channel keyword and notify-address overrides.

  1. Live transfer (the ring-a-human path). Phone-system dial forward

(e.g. Twilio Dial) to the on-call number with a ring timeout (~18 seconds) and an automatic text-back to the caller if unanswered.

  1. Callback capture (the deferred queue). Voice calls run a structured

extraction for "callback requested"; when true, a follow-up task lands on the operator's today list plus a notification email. Pure-info calls create nothing.

  1. Booking tools (the non-emergency default). The agent gets

get-availability / book / reschedule / cancel tools against ONE shared calendar-aware booking engine, so chat, voice, and the public booking page all see the same availability truth and send the same confirmation, invite, and reminders. Never let the model invent slots; hard-rule the booking protocol to real availability.

After-hours (where the money leaks)

Configure explicitly: business hours, after-hours behavior (AI handles and books vs capture-and-morning-queue), and when the AI hands off. For emergency-natured niches, after-hours emergency keywords route to the live on-call ping (mechanisms 1-2); everything else books the morning slot (mechanism 4). This is the beachhead pitch for any business losing overnight leads: the morning-missed-leads pile becomes booked calls.

Build order for a new site

  • [ ] Define the niche's emergency vocabulary + the on-call contact
  • [ ] Stand up the calendar (who takes the calls, when)
  • [ ] Wire chat widget → persona → booking tools
  • [ ] Add voice number → same persona → same tools
  • [ ] Configure escalation keywords + notify address (+ live transfer if

the business runs a real on-call)

  • [ ] Set after-hours behavior explicitly
  • [ ] Test all four paths: panic keyword pings, transfer rings + text-back

fires, callback request creates the task, normal chat books a real slot and the confirmation lands

Rules

  1. AI silence on escalation is a feature: after the ping, the human owns

the thread. The bot resuming over a live human is the cardinal sin.

  1. One booking engine, one availability truth. Two calendars = double

bookings = dead client.

  1. Disclose honestly: the assistant speaks as the business's intake

assistant, never impersonates a specific human.

  1. Every mechanism must degrade safely: failed webhook still captures the

lead, unanswered transfer still texts back, failed booking still takes a callback.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.