name: voice-post-call version: 0.1.0 description: Post-call handling for a voice session — turn the transcript into a brain page, post the summary to the operator's messaging surface, archive the audio. The pipeline is the contract; the firing paths are operator-wired (see "Two firing paths" below for what ships today). triggers:

"after the call"
"call ended"
"summarize the call"
"call transcript"
"voice call summary"
"post call summary" mutating: true writes_pages: true writes_to:
meetings/
voice-calls/

voice-post-call — Post-session transcript + summary handling

Convention: see gbrain's skills/conventions/quality.md for citation rules + back-link enforcement, and skills/_brain-filing-rules.md for the filing decision protocol. (These are not copied by the install; the relative paths resolve only if your host repo mirrors gbrain's skills layout.)

Iron Law

Every call gets processed, even on tool-call failure. The voice persona MAY log mid-session via an opted-in write tool, OR the call may end without that tool firing (model forgot, WebRTC dropped, browser crashed). A call-end handler should post a structured signal regardless so the brain still gets the transcript + audio reference — see "Two firing paths" below for which of these ships today and which the operator implements.

If both paths fire (the tool call AND the call-end handler), the second one is idempotent — it sees the brain page already exists and updates instead of duplicating.

The pipeline

1. CAPTURE  → MediaRecorder on the host repo's voice-agent service captures
              the full call audio (webm/opus) to /tmp/calls/<ts>-<persona>.webm.
              The browser client at /call?test=1 also captures via WebAudio-tee
              for E2E asserts; production /call uses server-side capture only.
2. TRANSCRIBE → Whisper (via gbrain transcription) processes the audio. Output:
              full transcript (timestamped) + speaker labels where possible.
3. SUMMARIZE  → A separate LLM call produces a 3-5 sentence summary covering
              key topics, decisions, and unresolved items.
4. WRITE      → Create or update meetings/YYYY-MM-DD-call-<persona>.md with:
              - frontmatter (date, persona, duration, ratings)
              - full transcript in a "Transcript" block-quote section
              - summary in a "Summary" section
              - audio link (file://, or signed URL if uploaded to storage)
              - any entity cross-links (people, companies mentioned)
5. CROSS-LINK → For each entity in the transcript (person, company), append a
              timeline entry to people/<slug>.md or companies/<slug>.md pointing
              back to this call page. Iron Law: per conventions/quality.md.
6. POST       → Send the summary to the operator's messaging surface (Telegram,
              Slack, Discord — whichever is wired in $TARGET_REPO/.env).

Two firing paths (both operator-wired today)

Path A — Persona-initiated mid-call (opt-in): The voice persona calls log_to_brain via the WebRTC data channel; the host-repo /tool endpoint dispatches through tools.mjs. log_to_brain is in OPTIONAL_OPS, not READ_ONLY_OPS, so this only works if the operator's tools-allowlist.local.json opts in (there is no log_call_summary tool — the override can only enable ops listed in OPTIONAL_OPS).

Path B — Call-end handler (not yet shipped): The shipped server.mjs has no automatic call-end handler — nothing fires when the WebSocket / WebRTC connection closes. To get the safety-net behavior, implement a post-call handler in your host repo that reads the captured audio + transcript on connection close and runs the pipeline above. Until you do, Path A (opt-in) is the only firing path, and calls where the persona never logs are NOT processed.

Brain page format

---
type: meeting
subtype: voice-call
persona: venus
date: 2026-05-17
duration_sec: 124
caller: operator
rating: 7
issues: []
audio_url: "file:///tmp/calls/2026-05-17-1029-venus.webm"
created: 2026-05-17
---

# Voice call: 2026-05-17 with Venus

> Brief 3-5 sentence summary of what was discussed and any decisions made.

## Summary
[Agent-authored 3-5 sentence summary covering topics, decisions, action items.]

## Transcript

> [Verbatim per-turn transcript with speaker labels and timestamps. Pure quote
> — do not paraphrase. Block-quoted because the exact wording matters more
> than a cleaned-up version.]

🔊 [Audio](file:///tmp/calls/2026-05-17-1029-venus.webm)

## Entities mentioned
- [Person](people/<slug>.md)
- [Company](companies/<slug>.md)

## Timeline

- **2026-05-17 10:29 PT** | voice call with Venus, 124s, rating 7 — [topic]

Citation format

[Source: voice call with <persona>, YYYY-MM-DD HH:MM PT]

Anti-patterns

❌ Paraphrasing the transcript. The verbatim text IS the signal; the summary is the agent's interpretation.
❌ Skipping the audio archive step. Every call has a recoverable audio file.
❌ Skipping entity cross-links when people/companies are mentioned. Iron Law fail.
❌ Posting to messaging WITHOUT writing the brain page first. The messaging summary is a notification, not the canonical record.
❌ Letting Path A's success suppress Path B. They MAY both fire; the second one is idempotent and serves as a redundant safety net.

Ships with this bundle (sibling directories after install):

voice-persona-mars — the persona that may invoke this
voice-persona-venus — the other persona that may invoke this

Lives in gbrain's skills/ (present on the host only if your repo mirrors gbrain's skills layout):

meeting-ingestion — analogous flow for multi-party meeting transcripts (different in that voice-call is typically 1:1)
media-ingest — for recorded one-way voice memos (different from live voice calls)

Contract

This skill guarantees:

Routing matches the canonical triggers in the frontmatter.
The post-call pipeline runs idempotently — second invocations update rather than duplicate.
Output written under meetings/ or voice-calls/ (consistent with _brain-filing-rules.md).
Conventions referenced (quality.md, _brain-filing-rules.md) are followed.
Privacy contract preserved: no real names in any committed sample; the operator's actual call transcripts contain whatever they say, which is the operator's data and not gbrain's concern.

Output Format

---
type: meeting
subtype: voice-call
persona: <mars|venus>
date: YYYY-MM-DD
duration_sec: N
caller: <identity>
rating: 0-10
audio_url: "<file:// or signed URL>"
---

# Voice call: <date> with <persona>

> <Summary>

## Summary
<body>

## Transcript

> <verbatim>

🔊 [Audio](<url>)

## Timeline

- **<date> <time> <tz>** | voice call with <persona>, <duration>s — <topic>