mcpField
R
reinforcement-loop

reinforcement-loop

github.com/gtmagentsMarketing & growth42864 installsUpdated 30w ago
Repository

About reinforcement-loop

A skill for planning reinforcement after enablement programs or playbooks launch. It helps teams target cohorts, schedule learning activities, and measure their effect on KPIs.

Key features

  1. 01Review engagement and performance signals
  2. 02Target audience cohorts
  3. 03Choose reinforcement formats
  4. 04Schedule sessions and reminders
  5. 05Measure impact and iterate

Use cases

  1. 01Reinforcing newly launched playbooks
  2. 02Responding to low adoption metrics
  3. 03Preparing for quarterly readiness reviews

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/gtmagents/gtm-agents --skill reinforcement-loop

After installing, type/reinforcement-loopin Claude Code to confirm it loaded.

Details

From the project README

Reinforcement Loop Skill

When to Use

  • After launching new enablement programs or playbooks.
  • When adoption metrics lag or managers request refreshers.
  • During quarterly readiness reviews.

Framework

  1. Signal Review – inspect engagement, certification, and performance metrics.
  2. Cohort Targeting – segment audiences (role, region, tenure) and prioritize interventions.
  3. Reinforcement Design – choose modalities (LMS modules, office hours, peer coaching, quizzes).
  4. Operationalize – schedule sessions, assign facilitators, automate reminders, and log attendance.
  5. Measure & Iterate – evaluate impact on KPIs, gather feedback, and update future waves.

Templates

  • Reinforcement calendar template.
  • Quiz/assessment blueprint.
  • Coaching follow-up tracker.

Tips

  • Keep touchpoints short and frequent for better retention.
  • Tie reinforcement to actual pipeline opportunities to improve relevance.
  • Share success stories to keep motivation high.

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