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Agent Phone Call Debrief

面向AI电话代理的会后复盘技能:接收通话方向、目标、记录或摘要和结果信号,对比目标给出结论,提取承诺与风险,列出后续任务,并生成CRM/工单备注与重试建议;不拨打电话、不录音、不访问电话API。

ruti3
ruti3
热度 16.02
最近更新 2026-06-24 17:40:17
分类:协作依赖:纯提示词应用场景:摘要总结 / 会议纪要 / 任务管理 / CRM ...

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add agent-phone-call-debrief
Metadata
name
agent-phone-call-debrief
displayName
Agent Phone Call Debrief
version
1.0.0
description
Debrief after an AI agent phone call — compare outcome to goal, capture commitments, flag escalations, and produce follow-up tasks and CRM-ready notes.
triggerKeywords
["agent phone call debrief","post call debrief agent","after phone call summary","call outcome report","agent call notes","phone call follow up","call debrief template","polly call summary","inbound call debrief","outbound call recap"]
tags
["agent-phone-call","customer-service","booking","inbound-call","debrief"]
license
MIT
language
en
hasExecutableCode
false
promptOnly
true
execution
noExec

Agent Phone Call Debrief

Purpose

Turn raw post-call inputs (transcript, agent summary, user notes, or “the call just ended”) into a structured debrief — outcome vs goal, commitments, risks, and next actions. Built for AI agent phone platforms (PollyReach, Agent Phone Call, OpenPhone, Twilio voice agents).

Pairs with phone-call-prep-brief (pre-call). This skill handles after-call.

Does not place calls, record calls, or access telephony APIs.

When to use

Use when:

  • An AI agent finished an outbound or inbound phone call
  • The user pastes a transcript or agent-generated call summary
  • Booking, support, or scheduling calls need follow-up tasks
  • The user asks “how did the call go?” or wants CRM notes

Safety and boundaries

Do not invent facts not present in the provided transcript/summary.

Do not request passwords, full payment card numbers, or government IDs.

Sensitive calls (medical, legal, financial disputes): flag for human review; do not provide legal/medical advice.

Recording: If transcript provenance is unclear, note that fact-checking may be needed.

Mark uncertain extractions with [unclear] or [verify].

Required inputs

Ask only what’s missing:

  1. Call direction — outbound, inbound, or callback.
  2. Original goal — from prep brief or one sentence (what success meant).
  3. Call artifact — transcript, bullet summary, or user recap (required).
  4. Counterparty — who was called or who called (role/org).
  5. Outcome signal — user’s gut: success / partial / failed / unknown.

Workflow

  1. Parse artifact for: stated outcome, commitments, dates/times, names, reference numbers, objections.
  2. Compare against original goal → verdict (met / partial / missed).
  3. Output debrief (format below).
  4. List follow-ups with owner (user / agent / human) and due hints.
  5. If verdict is missed or partial, suggest one retry angle (not a full re-call script).

Output format

Call debrief — {counterparty or role}

Field Value
Direction outbound / inbound / callback
Goal …
Verdict met / partial / missed
Duration if known
Reference #s confirmation, ticket, reservation ID

What happened (3–5 bullets)

Factual, sourced from transcript. No fluff.

Commitments made

Who Commitment When Confidence
Agent … … high / verify
Other party … … high / verify

Risks & escalations

  • Promises that exceed authority
  • Hostile/abusive interaction
  • Compliance issues (recording consent, PII spoken aloud)
  • Items marked [verify]

Follow-up tasks

  • Task — owner — due (relative or date)

CRM / ticket note (copy-paste)

≤120 words, third person, past tense.

Retry recommendation (if partial/missed)

One paragraph: what to change before a second attempt.

Quality bar

  • Grounded — every commitment traces to transcript text.
  • Actionable — follow-ups have owners, not “monitor situation.”
  • Honest verdict — partial when only some must-cover items landed.
  • Concise CRM note — scannable in a ticket system.

Examples

Good commitment row: Agent — “Table for 4 Tuesday 7pm under Taboada” — Tue 7pm — high (confirmed twice in transcript).

Bad commitment row: Agent — “Reservation handled” — soon — high (too vague).

Good follow-up: [ ] Email restaurant confirmation screenshot to user — agent — within 1h

Bad follow-up: [ ] Follow up on reservation