ArgentOS Demo Call

SkillCloud & infra

This skill lets your AI run a live 60-minute sales discovery call with a customer, leading the questioning itself. While the call happens, it connects each pain point the customer describes to an agent design and generates deployment artifacts in real time. It also supports preparing for a call ahead of time and replaying a call afterward.

Available today. Use it from your connected AI after setup.

After adding it, ask your AI to prepare, run, or replay a demo or onboarding discovery call with a customer. Mention which platform the call is on — Zoom, Meet, or Teams.

Then ask your AI: use the ArgentOS Demo Call skill

What your AI can do with it

  • Lead a live 60-minute discovery call and run the questioning with the customer
  • Map the pain points a customer describes to an agent design during the call
  • Generate deployment artifacts in real time while the call is happening
  • Prepare you for an upcoming demo or onboarding discovery call
  • Replay a past discovery call
  • Run the call over Zoom, Meet, or Teams

What this skill tells your AI

The instructions your AI receives, as published by argentaios/argentos-core in skills/argentinos-demo-call/SKILL.md and read by ahel’s review.

Use this skill to structure a high-conviction live call: discovery conversation first, system design second, artifacts before close.

Call Contract

Always produce these outcomes before ending:

  1. Consolidated discovery notes
  2. Proposed agent roster mapped to explicit pain points
  3. Three artifacts drafted live:
    • Strategy document
    • Technical implementation spec
    • Bootstrap prompt
  4. Explicit next-step recommendation and owner

Run Sequence

  1. Load pre-call context
    • Company, industry, team size, known pain, key contact, any prior docs
    • Missing context is acceptable; do not block call start
  2. Run the five-act flow from call-script.md
  3. Ask follow-ups using probe-questions.md
  4. Use transition language from transition-lines.md
  5. Present roster using proposal-language.md
  6. Narrate live artifact creation using live-build-narration.md
  7. Close with close-questions.md
  8. Complete handoff with run-checklist.md
  9. If structured intake is available, call onboarding_pack to emit all four onboarding artifacts in one deterministic pass.

Tone And Behavior

  • Lead with operational precision, not product pitch language.
  • Mirror customer wording for pain points before proposing solutions.
  • Keep confidence high and claims bounded to stated evidence.
  • Move from discovery to design only after explicit pain confirmation.

Minimum Evidence To Report Back

  • Top three pain points (quoted/paraphrased)
  • Proposed phase-1 automation anchor
  • Artifact names and completion state
  • Deployment blockers (if any)
  • Recommended timeline

References

Signals

GitHub stars
126
Forks
22
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
argentinos-demo-call
Source
github.com/argentaios/argentos-core