Jump to related tools in the same category or review the original source on GitHub.

Personal Development @kowl64 Updated 2/26/2026

Drivers Hours Wtd Infringement Coach Uk OpenClaw Skill - ClawHub

Do you want your AI agent to automate Drivers Hours Wtd Infringement Coach Uk workflows? This free skill from ClawHub helps with personal development tasks without building custom tools from scratch.

What this skill does

Creates a 1-page driver-facing tacho/WTD infringement note plus corrective actions and review date. USE WHEN you need to explain infringements and schedule follow-up.

Install

npx clawhub@latest install drivers-hours-wtd-infringement-coach-uk

Full SKILL.md

Open original
namedescription
drivers-hours-wtd-infringement-coach-ukCreates a 1-page driver-facing tacho/WTD infringement note plus corrective actions and review date. USE WHEN you need to explain infringements and schedule follow-up.

Drivers’ Hours & WTD Infringement Coach (UK)

PURPOSE

Turn tacho/WTD infringement evidence into a friendly, professional 1-page driver note plus corrective actions and a review date, applying the company RAG escalation rule.

WHEN TO USE

  • “Explain this tacho infringement to the driver and draft the message.”
  • “Check this shift pattern for EU Drivers’ Hours and WTD risk.”
  • “Do a weekly tacho and WTD compliance review for these drivers.” (driver-facing outputs needed)
  • “Draft a coaching note for repeated breaks/rest issues.”
  • “Summarise these infringements into actions and review dates.”

DO NOT USE WHEN…

  • Generic questions like “What are the drivers’ hours rules?” with no driver context or artefact needed.
  • Generic HR/disciplinary process requests not tied to a specific compliance case.
  • Fuel-saving/defensive driving tips unrelated to compliance deliverables.

INPUTS

  • REQUIRED:
    • Driver identifier (name/ID) and role (e.g., HGV/PCV), and period covered (start/end dates)
    • Infringement list (from .ddd/CSV/PDF summary) including dates/times and type
    • Working time context (duty/shift length, POA if recorded, breaks) if WTD-relevant
  • OPTIONAL:
    • Prior RAG history (count of ambers/reds in last X weeks/months per your policy)
    • Any driver explanation already given
    • Relevant internal SOP excerpt (paste text) for local rules
  • EXAMPLES:
    • “Driver A, week 2026-01-05 to 2026-01-11: 2x insufficient break, 1x daily rest short by 45 mins…”

OUTPUTS

  • driver-infringement-note.md (max ~1 page): explanation + expectations + support
  • corrective-action-plan.md: actions, owner, due dates, review date
  • Success criteria:
    • Tone: friendly & professional (UK spelling)
    • No assumptions: facts are attributed to provided records
    • Includes a clear review date and next steps

WORKFLOW

  1. Validate inputs
    • Confirm: driver ID, date range, infringement types, and source (PDF/CSV notes).
    • IF any are missing → STOP AND ASK THE USER for the missing items.
  2. Summarise facts only
    • List infringements in plain English (what happened + when), without blame.
    • IF records conflict (e.g., two sources disagree) → STOP AND ASK THE USER which source is authoritative.
  3. Classify severity for RAG
    • Apply the company rule in references/rag-escalation-rule.md.
    • IF RAG status depends on missing prior history → STOP AND ASK THE USER for counts/previous outcomes.
  4. Draft the driver-facing note (max 1 page)
    • Use assets/driver-note-template.md.
    • Include: what the rule expects, what the record shows, why it matters, and what to do next time.
  5. Propose corrective actions
    • Use assets/corrective-action-plan-template.md.
    • Actions must be specific, practical, and measurable (e.g., break planning, reminder prompts, route/shift adjustments).
  6. Schedule review
    • Choose a review date proportional to risk:
      • Green/Amber: typically next weekly review window
      • Red: sooner review + manager check-in (and potential investigation trigger per your policy)
  7. Output pack
    • Produce the two .md artefacts with consistent filenames.
    • IF the user asks to edit existing files → ASK FIRST before making edits.

OUTPUT FORMAT

# driver-infringement-note.md
Driver:
Period covered:
Source records:

## What we saw in the record (facts)
- [date/time] — [plain English infringement]
- …

## What the rules require (plain English)
- …

## What to do next time (practical steps)
- …
- …

## Support we can offer
- …

## Status and next review
RAG status:
Next review date:
Manager/Compliance follow-up:

DEPENDENCIES

  • None required beyond the provided extracts/summaries.
  • If the user provides files (.ddd/CSV/PDF), rely on the user’s summary unless your environment includes a trusted parser.

SAFETY & EDGE CASES

  • Never accuse or assume intent; stick to evidence.
  • If there is any possibility of an employment action (discipline), recommend using the investigation skill pack and keep this note factual/coaching-focused.
  • Don’t invent legal thresholds; only explain what’s in the provided evidence + internal policy text.

EXAMPLES

  • Input: “Explain insufficient break x2 and rest shortage x1 for Driver A”
    • Output: driver-infringement-note.md + corrective-action-plan.md with review date next week
  • Input: “Repeated break issues; prior 3 ambers”
    • Output: Note + actions; status indicates escalation path per RAG rule; recommends investigation workflow if needed
Original URL: https://github.com/openclaw/skills/blob/main/skills/kowl64/drivers-hours-wtd-infringement-coach-uk

Related skills

If this matches your use case, these are close alternatives in the same category.