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Rep Call Feedback Coach

Gives evidence-based coaching for one sales rep by comparing their calls with peer examples

Source Download skill
Repository
XiaomiMiMo/MiMo-Code
Stars
13,743
Licence
MIT
Files
6 files

What it does

This skill teaches an AI agent how to review a sales representative's recorded call transcripts and compare them with calls from peer reps. The agent looks for moves that successful peers repeat, finds specific moments where the target rep could have done better, and drafts practical phrasing the rep could use on the next call. It is built to rely on observed call evidence rather than managers' opinions or CRM outcomes, and it does not create scorecards or send anything to anyone.

Great for

  • Sales managers or enablement staff preparing one-to-one coaching for a rep
  • Sales reps who want to see how their calls compare with peers on specific moments
  • Teams reviewing a supplied set of call transcripts for a particular theme such as objection handling or next steps

Skip it if

  • Automated performance ratings or rankings, since the skill is designed to avoid scorecards and formal scoring
  • Situations with no transcript or call recording, because behavioral claims require observed call evidence and the skill will only offer a limited memo
  • Evaluating or disciplining staff on the basis of a few calls, since the sample-size targets are meant to be met before conclusions are drawn

Try asking

  • “Compare my last 30 days of discovery calls with two peers and tell me where I can improve objection handling”
  • “Review these three pasted transcripts from Sam and suggest better next-step language for the closing moments”
  • “Give me focused coaching on how I handle pricing questions, using calls from the top reps on our team”
Step-by-step guide: how to use Rep Call Feedback CoachInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 6 original files, the MIT licence and an attribution note.

    get-rep-call-feedback.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip get-rep-call-feedback.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip get-rep-call-feedback.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Name the target rep and the peers you want as comparisons, plus a time window, so the agent does not have to guess
  • Provide at least 15 target calls and 15 peer calls, or the agent will produce a limited memo with a stated shortfall
  • Treat the output as coaching input for a human conversation and check the cited call moments yourself before acting on them

What's inside

  • agents/openai.yaml
  • references/call-transcripts-connector-playbook.md
  • references/output-contract.md
  • references/request-schema.yaml
  • references/source-priority.md
  • SKILL.md

Redistributed unmodified from XiaomiMiMo/MiMo-Code under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.