What do I need to use Driver Retention Plan?

Turnover data; Exit reasons; The pay picture; Home time; The equipment and dispatch position.

Is Driver Retention Plan free to use?

Yes — run it free in the browser playground (no API key needed for the sponsored trial, or bring any provider key), or install it into Claude Code, Cursor, ChatGPT and more via npx pm-claude-skills. MIT-licensed and open source.

Driver Retention Plan

Q: How do I know the Driver Retention Plan output is good?

The skill verifies itself against its own quality checks: Turnover is segmented by tenure, not reported as one rate; Concentration by dispatcher and by lane was checked; The cost of turnover includes unseated truck days and the productivity ramp; Pay is compared as actual take-home, not rate per mile.

🔵 Stable🕐 updated 2026-08-21 🔷 SkillSpec L3 pm-fleet

Reduce driver turnover by fixing what actually makes drivers leave — the pay comparison that is real, the home-time reliability, the dispatch relationship, and the first ninety days where most departures are decided. Use when asked to improve driver retention, reduce turnover, understand why drivers are leaving, or design a driver onboarding or referral programme. Produces the turnover analysis by tenure and cause, the true cost of turnover, the exit-driver findings, the prioritised interventions, and the first-90-days plan.

▶ Run it free — no key needed 📝 Grade your existing draft View SKILL.md ↗

🗣 Say this to your agent

“Why are our drivers leaving?”“Build a driver retention plan”“What does turnover actually cost us per driver?”“Most of our leavers go within 90 days — what do we fix?”“Design a driver onboarding programme”

What to give it

▸Turnover data — by tenure band, by fleet or lane, by dispatcher, and over time

▸Exit reasons — what leavers gave, and whether anyone probed past the first answer

▸The pay picture — actual take-home including detention and accessorials, versus the market for the same work

▸Home time — what is promised at recruitment and what is actually delivered

▸The equipment and dispatch position — vehicle age and reliability, and how loads are assigned

✅ The bar it holds itself to

Every skill in this library self-verifies — these are this skill's own quality checks, straight from its definition.

✓Turnover is segmented by tenure, not reported as one rate

✓Concentration by dispatcher and by lane was checked

✓The cost of turnover includes unseated truck days and the productivity ramp

✓Pay is compared as actual take-home, not rate per mile

✓Home-time reliability is measured as variance against promise

✓Stay interviews are in place, not only exit interviews

✓Interventions are ranked by retention per pound spent

✓The first 90 days has a specific, owned plan

⚠️ What it refuses to do

**One turnover number.** Hides three different problems with three different fixes.

**Believing the exit-interview reason.** 'Better opportunity' is a polite closing statement, not a cause.

**Comparing rate per mile.** Drivers compare take-home, and so should you.

**Auditing the home-time policy instead of the delivery.** The variance is the complaint.

**Ignoring dispatcher concentration.** Frequently the single largest and most fixable factor.

Install

npx pm-claude-skills add --agent claude   # or codex · cursor · gemini · hermes
# or one-line MCP (every skill, any client):
claude mcp add pm-skills -- npx -y pm-claude-skills-mcp

Related skills

🔌 Embed this skill

Drop this on your blog, docs, or site — it renders a "Run this skill" card:

<div data-pm-skill="driver-retention-plan"></div>
<script src="https://mohitagw15856.github.io/pm-claude-skills/embed.js" async></script>

💬 Discussion

Driver Retention Plan is one of 1153 open-source professional AI agent skills — all SkillSpec L3. Try them all in the browser · ⭐ Star on GitHub · Browse the full catalog