Install
openclaw skills install @ruti3/agent-phone-call-debriefDebrief after an AI agent phone call — compare outcome to goal, capture commitments, flag escalations, and produce follow-up tasks and CRM-ready notes.
openclaw skills install @ruti3/agent-phone-call-debriefTurn 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.
Use when:
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].
Ask only what’s missing:
| Field | Value |
|---|---|
| Direction | outbound / inbound / callback |
| Goal | … |
| Verdict | met / partial / missed |
| Duration | if known |
| Reference #s | confirmation, ticket, reservation ID |
Factual, sourced from transcript. No fluff.
| Who | Commitment | When | Confidence |
|---|---|---|---|
| Agent | … | … | high / verify |
| Other party | … | … | high / verify |
[verify]≤120 words, third person, past tense.
One paragraph: what to change before a second attempt.
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