team-performance-review
Compare your sales reps side by side on outreach volume, engagement rates, and meetings booked to identify top performers and coaching opportunities.
npx skills add majiayu000/claude-skill-registry --skill team-performance-review --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Team Performance Review Compare your sales reps side by side on outreach volume, engagement rates, and meetings booked to identify top performers and coaching opportunities. ## Instructions When a user wants to review team performance, query the Amplemarket analytics engine for per-rep metrics, compile a leaderboard, and surface actionable insights. ### Steps 1. **Clarify scope and timeframe.** Ask the user: - "What timeframe would you like to review? (default: last 30 days)" - "Any specific reps to focus on, or the full team?" If the user does not specify a timeframe, default to the last 30 days. 2. **Submit analytics questions** by calling `mcp__claude_ai_Amplemarket__ask_analytics` for each of the following questions (adjust the timeframe to match the user's request): - "How many emails were sent by each rep in the last [timeframe]?" - "What is the reply rate by rep in the last [timeframe]?" - "What is the open rate by rep in the last [timeframe]?" - "How many meetings were booked by each rep in the last [timeframe]?" - "What is the bounce rate by rep in the last [timeframe]?" Store each returned `request_id` for polling in the next step. 3. **Wait approximately 20 seconds**,
- Instructions
- Steps
- Important Notes
- Examples
- Example 1: Full Team Review - Last 30 Days
- Example 2: Specific Rep Deep Dive
- Example 3: Quarterly Comparison
- Interpreting the Leaderboard
- Troubleshooting
What does the team-performance-review skill do?
Compare your sales reps side by side on outreach volume, engagement rates, and meetings booked to identify top performers and coaching opportunities.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill team-performance-review --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.