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Automation
Command

/design-referral

Produces referral program blueprint with incentives, rules, and governance.

From plugin
gtm-agents
368199 skills200 agents199 commands
Install
$ npx -y skills add gtmagents/gtm-agents --agent claude-code

How it fires

How this command gets triggered: by you, by Claude, or both.

  • Fires itselfClaude auto-loads it when your prompt matches the work.
  • You can call itInvoke it directly when you want it.
  • Slash command/design-referral

Context preview

What this command does when you run it.

Produces referral program blueprint with incentives, rules, and governance.

Command definition

design-referral.md
name: design-referral
description: Produces referral program blueprint with incentives, rules, and governance.
usage: /referral-program-orchestration:design-referral --goal "pipeline" --audience "customers" --budget 25000

Command: design-referral

Inputs

  • **goal** – primary objective (signups, pipeline, revenue, expansion).
  • **audience** – target participants (customers, partners, employees, influencers).
  • **budget** – incentive budget cap or range.
  • **regions** – optional list of geo restrictions/compliance considerations.
  • **timeline** – planned launch window.

GTM Agents Pattern & Plan Checklist

> Mirrors GTM Agents orchestrator blueprint @puerto/plugins/orchestrator/README.md#112-325.

  • **Pattern selection**: Referral design typically uses a **diamond** (context ↔ mechanic modeling, converge into governance) or **pipeline**; document choice in the plan header.
  • **Plan schema**: Save `.claude/plans/plan-<timestamp>.json` capturing goals, incentives, dependency graph (legal, finance, ops, partner), error handling, and success criteria (pipeline, CAC, fraud rates).
  • **Tool hooks**: Reference `docs/gtm-essentials.md` stack—Serena for charter diffs, Context7 for compliance + incentive benchmarks, Sequential Thinking for trade-off analysis, Playwright for prototype referral journeys.
  • **Guardrails**: Default retry limit = 2 for modeling or policy failures; escalation ladder = Referral Architect → Legal/Finance → Exec sponsor.
  • **Review**: Run `docs/usage-guide.md#orchestration-best-practices-puerto-parity` before sign-off to confirm dependencies, approvals, deliverables.

Workflow

1. **Context Gathering** – pull GTM targets, persona insights, legal/finance constraints. 2. **Mechanic Selection** – evaluate one-sided vs two-sided incentives, tiering, and cadence. 3. **Rules & Safeguards** – define eligibility, referral caps, fraud checks, and compliance requirements. 4. **Enablement Plan** – list assets, messaging, training, and tooling needed for launch. 5. **Measurement Framework** – connect KPIs to dashboards and define review cadence.

Outputs

  • Referral program charter (objective, mechanics, incentives, rules, KPIs).
  • Stakeholder alignment deck outlining responsibilities and approvals.
  • Risk log highlighting compliance/legal considerations.
  • Plan JSON entry stored/updated in `.claude/plans` for audit trail.

Agent/Skill Invocations

  • `referral-architect` – leads program design and governance.
  • `incentive-design` skill – structures payouts and thresholds.
  • `fraud-detection` skill – recommends safeguards.

GTM Agents Safeguards

  • **Fallback agents**: document substitutes (e.g., Partner Ops covering Referral Architect) when decision-makers unavailable.
  • **Escalation triggers**: if compliance blockers or budget overruns appear twice, trigger GTM Agents rip-cord escalation and log remediation in plan JSON.
  • **Plan maintenance**: update plan JSON/change log whenever incentives, eligibility rules, or governance cadences change.

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