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sales-handoff-orchestration

Route MQLs to sales with SLAs, enablement, and escalation paths

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■ INSTALL // npx @self.md/cli install sales-handoff-orchestration
AuthorGTM Agents
Namespace@gtmagents/gtm-agents
Category#agents
Version1.0.0
Stars★ 64
Downloads↓ 3
Verification[ ✓ ] self.md verified

Route MQLs to sales with SLAs, enablement, and escalation paths

Installation

npx claude-plugins install @gtmagents/gtm-agents/sales-handoff-orchestration

Contents

Folders: agents, commands, skills

Included Skills

This plugin includes 3 skill definitions:

enablement-kit

Use to package collateral, talk tracks, and systems guidance for routed

View skill definition

Sales Handoff Enablement Kit Skill

When to Use

  • Launching new campaigns or lifecycle plays that generate routed leads.
  • Rolling out updated messaging, pricing, or objection handling for a segment.
  • Conducting retros where sales lacked context or assets to follow up effectively.

Framework

  1. Context Brief – campaign goal, ICP, offer, key insights, reference dashboards.
  2. Talk Tracks & Scripts – intro lines, discovery questions, objection responses, CTA guidance.
  3. Collateral Pack – links to decks, one-pagers, case studies, demos, ROI calculators.
  4. System Instructions – CRM workflows, sequence enrollment steps, data entry requirements.
  5. Feedback Loop – channel for reps to submit learnings, objections, and win stories.

Templates

  • One-page enablement brief (context, key messages, assets, KPIs).
  • Objection handling table (objection → response → proof).
  • Follow-up checklist (pre-call prep, talk track, assets to send, logging requirements).

Tips

  • Embed Loom or audio snippets to deliver tone and emphasis quickly.
  • Keep assets in a shared folder with versioning so RevOps can reference in audits.
  • Pair with run-standups command to remind reps of latest resources.

routing-logic

Use when defining or adjusting marketing-to-sales assignment rules.

View skill definition

Routing Logic Blueprint Skill

When to Use

  • Designing new lead assignment models (round-robin, territory, pod-based).
  • Troubleshooting misrouted or unassigned leads.
  • Simulating capacity scenarios before changing SLAs.

Framework

  1. Qualification Criteria – map scoring thresholds, enrichment fields, and required consent.
  2. Owner Model – hierarchy (account owner, named AE, SDR pod), fallback logic, and tie-breakers.
  3. Capacity Modeling – lead volume forecasts vs available headcount, backlog thresholds.
  4. Automation Flow – MAP/CRM steps, dedupe rules, webhook/API dependencies.
  5. Monitoring & Audits – logging, reconciliation jobs, sample QA cadence.

Templates

  • Routing matrix (segment → owner → conditions → escalation).
  • Capacity calculator (leads/day vs SLA vs reps).
  • QA checklist for automation updates.

Tips

  • Keep logic declarative (YAML/JSON) for easier audits and version control.
  • Add synthetic leads to test every path before go-live.
  • Coordinate with data enrichment to ensure required fields populate upstream.

sla-tracking

“Use to design measurement, alerting, and reporting for MQL\u2192SQL\

View skill definition

SLA Tracking System Skill

When to Use

  • Establishing or revisiting SLA metrics between marketing, SDR, and sales pods.
  • Building dashboards/alerts for pipeline speed and follow-up compliance.
  • Running retrospectives after SLA breaches or pipeline delays.

Framework

  1. Definitions – clarify timestamps (MQL, SAL, SQL), owner transitions, and acceptance criteria.
  2. Targets – set response + acceptance SLAs per segment, region, or channel.
  3. Measurement – configure data pipelines pulling MAP + CRM events, dedupe logic, and exclusions.
  4. Alerting – thresholds, notification channels, severity levels, and on-call rotation.
  5. Review Cadence – weekly dashboards, monthly retros, quarterly recalibration.

Templates

  • SLA scorecard (segment → target → actual → variance → owner).
  • Alert playbook with trigger conditions and escalation steps.
  • Retro template capturing root cause, fixes, and follow-up experiments.

Tips

  • Anchor SLAs to revenue impact (pipeline $) to drive accountability.
  • Include qualitative context (reason codes) to separate data gaps vs true SLA misses.
  • Pair with routing-logic updates when volume spikes create bottlenecks.

Source

View on GitHub