Marketplace Meeting Time Negotiator Skill

Skill Workflows

Meeting Time Negotiator Skill

Reads an email thread full of back-and-forth availability and proposes the single best meeting time that fits everyone, ready to send as a reply.

0 downloads v1.0.0 Updated Jul 28, 2026
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About this skill

What this skill does

Scheduling a meeting across more than two people usually turns into five reply-all emails of "does Tuesday work" before anyone lands on a time. This skill reads the whole thread — every stated availability, every constraint mentioned in passing — and proposes the single best time that fits everyone, written as a ready-to-send reply.

How it works

  1. Constraint extraction — reads the full email thread and pulls out every stated availability window, timezone mention, and soft constraint ("mornings are better for me", "not after 4pm") from each participant.
  2. Best-fit resolution — finds the time window that satisfies the most hard constraints and the most soft preferences, resolving timezones explicitly rather than assuming everyone's in the same one.
  3. Reply drafting — writes a reply proposing the resolved time, explicitly stated in each participant's local time if timezones differ, ready to send or edit.

Requirements

  • Works on Claude AI (any surface, given the thread text) and on OpenClaw (reading directly from a connected email/calendar plugin).
  • No calendar API required for the core skill — it reasons from stated availability in the thread text; pairing it with calendar-read access (via OpenClaw) lets it also check for conflicts automatically.

Setup

  1. Unzip the package into your Skills directory, keeping the folder structure intact.
  2. Paste the full email thread (or point OpenClaw at the live thread) to get a proposed time.

What you get

  • Every participant's stated availability, timezone, and soft preference extracted from a messy thread automatically
  • A single best-fit time that satisfies the most hard constraints and soft preferences, not just the first slot that technically works
  • Timezones resolved explicitly and spelled out per participant, avoiding the classic scheduling mix-up
  • A ready-to-send reply proposing the resolved time
  • A worked example resolving a 4-person, 3-timezone thread

Built for

Claude AI Zo Computer OpenClaw
Free

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