Rep coaching brief

Skill amplemarket/skills/skills/rep-coaching-brief

Generate coaching notes for a manager preparing a 1:1 with a rep, covering activity, engagement quality, conversion efficiency, and areas for improvement.From its SKILL.md

Install

npx -y skills add amplemarket/skills --skill rep-coaching-brief

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
4 stars4 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.7 KB, 553 tokens by cl100k_base, as published. Nobody here has run it

Rep Coaching Brief

Generate coaching notes for a manager preparing a 1:1 with a rep, covering activity, engagement quality, conversion efficiency, and areas for improvement.

Instructions

When a manager wants coaching notes on a specific rep, query analytics for that rep's performance across key metrics, compare to team averages, and present a structured brief for the 1:1.

Steps

Identify the rep and scope. The user will name a rep or provide their email. Default to last 30 days. Ask if they want a different timeframe.
Gather the data by submitting these analytics questions via mcp__claude_ai_Amplemarket__ask_analytics:
- Rep's outreach volume across all channels (email, LinkedIn, calls)
- Rep's reply rate, open rate, interested rate
- Rep's meetings booked
- Rep's bounce rate
- Rep's Duo leads actioned and dismiss rate (if Duo is enabled)
- Rep's top sequences by reply rate
- Rep's worst sequences by reply rate
- Team averages for the same metrics (for comparison)
Submit all in parallel, poll with mcp__claude_ai_Amplemarket__get_analytics_result.
Analyze relative to the team. For each metric, compare the rep to the team average. Identify:
- Where they're above average (strengths to reinforce)
- Where they're below average (areas for coaching)
- Any notable patterns (e.g., high volume but low reply rate = messaging issue, low volume but high reply rate = capacity opportunity)
Present a well-formatted coaching brief. Lead with a quick summary of the rep's standing, then break down strengths, areas for improvement, and specific talking points for the 1:1. Include the data backing each point.

Examples

User prompt: "Give me coaching notes for David Kim ahead of our 1:1"

Simple example output: The agent finds David's email volume is 15% below team average, but his reply rate is 2x the average. Meetings booked are average. His top sequence outperforms the team's best. Recommends the coaching focus on increasing David's volume since his engagement quality is excellent -- more sends at his reply rate would likely mean more meetings. Presented as a brief with a strengths section, improvement areas section, and suggested 1:1 talking points.

Troubleshooting

Problem	Solution
Rep name is ambiguous	Ask for the rep's email to match exactly in analytics queries.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.