Ingest meeting transcripts from ANY meeting recorder into brain pages with
attendee enrichment, entity propagation, and timeline merge. One unified
pipeline: normalize the source into a standard transcript record, split
multi-meeting recordings, resolve speakers by evidence, create the page,
pass every surprising claim through the consistency check (transcript +
brain + plausibility), enrich every entity, then run the verification
checklist — substance AND sequence. A meeting is NOT fully ingested until
the enrich skill has processed every entity AND the verification checklist
passes, including the sequence verify (PASS or explicit user waive).
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SKILL.md
Instructions source · Aperçu en lecture seule
name
meeting-ingestion
version
2.2.0
description
Ingest meeting transcripts from ANY meeting recorder into brain pages with
attendee enrichment, entity propagation, and timeline merge. One unified
pipeline: normalize the source into a standard transcript record, split
multi-meeting recordings, resolve speakers by evidence, create the page,
pass every surprising claim through the consistency check (transcript +
brain + plausibility), enrich every entity, then run the verification
checklist — substance AND sequence. A meeting is NOT fully ingested until
the enrich skill has processed every entity AND the verification checklist
passes, including the sequence verify (PASS or explicit user waive).
triggers
["meeting transcript","process this meeting","meeting notes","meeting recorder","ingest this recording","capture meetings","audit this meeting","check the sequence","did I get the order right","meeting transcript received"]
Filing rule: Read skills/_brain-filing-rules.md before creating any new page.
Convention: See skills/conventions/quality.md for Iron Law back-linking, and
skills/conventions/brain-first.md for the lookup chain — resolve every name
against the brain BEFORE reaching for external lookups.
Contract
This skill guarantees:
Works with ANY meeting recorder — AI notetaker export, webhook payload, share
link, raw audio transcription, or manual paste. The normalized transcript
record (below) is the contract; per-source fetch/parse is the host agent's job
One brain page per REAL meeting — multi-meeting recordings are split first
Meeting page created with attendees, summary, key decisions, action items,
notable quotes
Speakers resolved by evidence, never by guess
Recorder auto-summaries treated as CLAIMS, not facts — every surprising claim
passes the consistency check before it touches an entity page
EVERY attendee gets a people page (created or updated)
EVERY company discussed gets entity propagation
Timeline entries on ALL mentioned entities (timeline merge)
Back-links created bidirectionally
Meeting is NOT fully ingested until enrich runs for every entity
The meeting is never REPORTED as ingested until the verification checklist
(below) passes — every quote grounded, every slug backed by a page and a
timeline backlink, every speaker resolved or flagged
The narrated SEQUENCE is verified independently of substance: a sequence
contradiction BLOCKS ingestion until fixed or explicitly waived by the user
Every attendee and company mentioned MUST get a back-link from their page to
the meeting page. An unlinked mention is a broken brain.
Any recorder, one pipeline
Meeting content arrives from many sources: an AI notetaker (Granola and
Circleback are common examples), a phone voice memo, a video-call transcript
export, or a transcript the user pastes directly. Do NOT build per-vendor
pipelines or paraphrase this skill in ad-hoc instructions — normalize whatever
the source provides into the transcript record below, then run the shared
phases. Source-specific logic ends at normalization.
The normalized transcript record
Before running the pipeline, reduce the input to this shape (mentally or as a
scratch file — it does not get written to the brain as-is):
source:"<recorder name, or 'manual'>"
source_id:
"<unique recording id from the source, if any>"
title:
"Meeting Title"
date:
YYYY-MM-DD
time:
"HH:MM TZ"
# null if unknown
duration:
"45m"
# null if unknown
attendees:
# the SOURCE'S notion of who was there —
-
name:
"..."
# may need correction during speaker resolution
email:
"..."
# only if the source provides it
role:
"..."
# only if known
transcript_segments:
# structured form when the source diarizes
-
speaker:
"..."
# resolved name OR "UNKNOWN_N" if unresolved
speaker_raw:
"..."
# the source's raw speaker label, for traceability
text:
"..."
raw_transcript_text:
"..."
# the complete transcript. NEVER truncate.
source_summary:
"..."
# the recorder's AI summary if present — a CLAIM, not a FACT
source_url:
"..."
# link back to the source platform, if any
Invariants:
raw_transcript_text is complete and untruncated. Always.
attendees is a claim by the source. People invited ≠ people present.
source_summary is TWO lossy layers deep (speech-to-text, then AI
summarization). Both layers confabulate. Verify before writing anything
from it into the brain.
Retain the raw transcript when the source provides one: file it as a sidecar
page (e.g. meetings/YYYY-MM-DD-{slug}-transcript) or keep the source file
reachable, and link it from the meeting page. The transcript is the canonical
evidence for every quote and claim check downstream.
Redact before you retain. A raw transcript routinely captures pasted
secrets and PII (a read-aloud API key, a screen-shared token, a private phone
number). Before writing the sidecar, scan for secret-shaped strings (sk-…,
ghp_…, AKIA…, bearer tokens, long hex/base64 blobs) and PII, and redact
matches to labeled placeholders — same deterministic deny-list /
runPrivacyLint model as conversation-archive. "Untruncated" means the
transcript's substance, never a live credential.
Phases
Phase 1: Normalize the input
Build the transcript record from whatever arrived. If the input is malformed
(empty transcript, summary-only payload with no transcript, in-progress
recording), STOP — do not create a meeting page from a summary alone. Surface
the problem to the user.
For raw transcript files with no structure at all, gbrain capture is the
preferred entry (it handles dedup and frontmatter routing); this pipeline is
for building structured meeting pages.
Phase 2: Split detection — one recording is not always one meeting
A single recording is often several distinct meetings stitched together (a
recorder left running across back-to-back sessions). Detect this BEFORE page
creation, so each real meeting becomes its own page and dedupes/enriches
correctly.
Split signals (one is enough to investigate; two or more = split almost
certainly):
Roster shift — a new person arrives mid-transcript (a greeting deep into
the file), or the speaker set in the back half differs from the front
Topic hard-cut with no continuity between the halves
Context reset — "ok, next one", a fresh intro round, a restart phrase
The source's own title/agenda names multiple sessions
When a split is detected:
Find the boundary segments — the exact points where roster/topic flips.
Partition the segments into N contiguous chunks, one per real meeting.
Never drop or duplicate a segment; the union must equal the original, in order.
Run the remaining phases once per chunk → N separate meeting pages, each
with its own corrected attendees, title, and time.
Cross-link the sibling pages ("same recording, session k of N") and note
the shared source_id so dedup never re-merges them.
Borderline judgment: same people + one flowing conversation that wanders
topics = ONE meeting; don't over-split. The test is roster + hard context
break, not "the topic changed." If you genuinely cannot tell, surface the
boundary to the user rather than guessing.
Phase 3: Dedup across recorders
Users increasingly run two recorders at once as a backup. Before creating a
page, check whether the same meeting already exists:
gbrain search "{title or attendee names}", then match by date ± 1 day +
attendee overlap ≥ 50% + similar title.
If a page exists, MERGE into it instead of creating a duplicate: build from
the RICHER transcript, record both source ids in frontmatter.
Source priority (which diarization to trust) is not source completeness
(which transcript is fuller). One recorder may capture 20% of a session the
other captured fully. Compare lengths; keep the fuller transcript as the
grounding evidence.
Phase 4: Speaker resolution — before writing the page
Recorders ship anonymous labels (UNKNOWN_N, Participant 2, microphone)
and sometimes confidently WRONG names. Resolve by evidence:
Start from the source's attendee list, corrected by any roster evidence the
user can provide (an invite list, an event page, "it was just me and
charlie-example").
Never guess. When uncertain, write [Room] or UNKNOWN and flag it.
A wrong attribution is worse than no attribution.
Cross-reference the brain: gbrain search "{name}" for each candidate;
read their page before accepting an identification.
Assign each named speaker a confidence: high (roster-confirmed), medium
(named unambiguously in the transcript), low (inferred from content —
flag explicitly).
Content-identity check: for every named speaker who claims a
role/company/product in their own words ("I founded X", "at my company Y
we…"), verify the claim against that person's brain page. If the named
person's established identity CONTRADICTS what the speaker says about
themselves, the recorder substituted the wrong person — resolve by
identity, not by name, and reattribute the whole track.
Phantom-speaker check: if the recorder reports MORE distinct speakers
than the known attendee count, suspect over-splitting — one real voice
diarized into two labels. Tells: two labels never address each other, or
hand off mid-thought. Collapse phantoms into the real attendee.
User ground truth overrides everything. If the user states who was in
the room, that beats the recorder's diarization AND the roster. Reattribute,
fix the page, and never re-litigate a room the user has confirmed.
Speech-to-text garbles names constantly. Before creating a NEW person page
from a transcript-only name, search the brain for plausible spelling
variants of the surname; default assumption is that a near-miss IS the
existing person with a mangled name. Update the existing page and record
the variant as an alias rather than creating a duplicate.
Phase 5: Create meeting page
# {Meeting Title} — {Date}**Attendees:** {list with links to people pages}
**Date:** {YYYY-MM-DD}
**Duration:** {if available}
## Summary
{3-5 bullet key outcomes}
## Key Decisions
{Decisions with context. If none: _No decisions — discussion only._}
## Action Items
{Tasks with owners and deadlines. If none: _None — exploratory conversation._}
## Notable Quotes
{Verbatim from the transcript, attributed, `>` blockquotes.
If none: _No notable quotes — operational/logistics meeting._}
## Discussion Notes
{Structured notes by topic}
The four required sections are Summary, Key Decisions, Action Items, and
Notable Quotes — additional sections (Discussion Notes, a link to the
transcript sidecar) are additive, never replacements. An empty section always
carries an explicit reason; a bare - None. is a dodge, not an answer.
Quotes are VERBATIM. Write what was said the way it was said — a paraphrase in
a blockquote is a fabricated quote.
Phase 6: Claim verification + consistency check (gate for every entity write)
Recorder summaries inject false facts: speech-to-text garbles proper nouns,
and AI summaries turn banter into commitments. Before writing ANY of the
following claim types to a person/company page (compiled truth, frontmatter,
or timeline), verify:
Claim type
Verification bar
Relationship/role change ("joined as cofounder", "became CTO", "left widget-co")
Find the verbatim transcript lines. The claim must be EXPLICIT in what was said, not an inference from enthusiasm.
A speaker saying a word ≠ owning the thing. Require explicit ownership language or brain corroboration.
New proper nouns (project/company/product names not already in the brain)
Search the brain and the web for the canonical spelling first. If unresolvable, annotate (unverified spelling) — never write it bare.
Major life/deal events (raised, acquired, hired, shut down)
Verbatim transcript support required. These propagate the furthest and are the most expensive to be wrong about.
Consistency check — transcript support alone is NOT sufficient. A claim
can be faithfully transcribed and still wrong. Every claim that passes the
transcript bar ALSO gets:
Brain contradiction check.gbrain query "{entity}" and read the
relevant pages. Does the new claim CONTRADICT established brain truth?
When it does, the ESTABLISHED truth wins by default — flag the conflict to
the user, don't silently overwrite. New claims override old truth only with
explicit, verbatim, unambiguous transcript support, and even then the
change is flagged in the ingest report.
Logic/plausibility check. Is the claim POSSIBLE given what else is
known? Two people can't both independently "start" the same project; a
company founded last year can't have been acquired five years ago. A
logical impossibility means a probable garble — investigate before writing.
Surprise = signal. If a claim would make the user say "wait, what?",
that surprise is exactly when these checks are mandatory. Boring claims
("discussed metrics", "attended") pass on transcript verification alone;
surprising claims need every layer. Don't rationalize surprise into a story
that fits — surface it as a question.
Downgrade protocol: if the transcript supports only an inference, record
it as an explicitly-uncertain note on the meeting page — never in an entity
page's compiled truth or frontmatter.
Propagation rule: a claim that fails verification must not fan out. Do not
copy it to other entity pages or timeline entries. A false claim written to
five pages costs five corrections.
Phase 7: Attendee enrichment (MANDATORY)
For EACH attendee:
gbrain search "{name}" — does a people page exist?
If NO → create via the enrich skill (skills/enrich/SKILL.md). Every
person who was actually IN the meeting gets a page, even a thin one. Skip
only ephemeral third-party mentions (a name invoked about someone not
present, with no standalone context) and non-participants (a server taking
orders).
If YES → update compiled truth with meeting context (subject to Phase 6).
Add a timeline entry on the person's page:
gbrain timeline-add {person-slug} {date} "Attended {meeting-title}"
Back-link known people who are MENTIONED or SPEAK in the transcript too, not
just attendees — but high-confidence identifications only. Never backlink a
garbled name or a low-confidence guess; a wrong backlink pollutes the graph
worse than a missing one.
Note: Once the meeting page is written via gbrain put, the auto-link
post-hook automatically creates attended links from the meeting to each
attendee whose page is referenced as [Name](people/slug). You don't need to
call gbrain link for attendees. You DO still need gbrain timeline-add for
dated events (auto-link only handles links, not timeline entries).
Check the brain for an existing page (gbrain search, then gbrain get).
Create/update as needed (claims subject to Phase 6).
Add a timeline entry referencing the meeting.
Back-link from entity page to meeting page.
Timeline merge: the same event appears on ALL mentioned entities'
timelines. If alice-example met charlie-example at acme-example, the event
goes on alice-example's page, charlie-example's page, AND acme-example's page.
For a multi-company session (e.g. group office hours), disaggregate the
feedback per company — each company's timeline entry carries its own content,
not a blob about the whole session.
If the meeting contains original thinking worth extracting beyond the page
itself, chain into skills/signal-detector/SKILL.md after ingestion.
Phase 9: Sync
gbrain sync to update the index.
Verify before declaring done (HARD GATE)
The write phases do the work; this phase verifies the work was actually done.
Run the checklist on the finished page — every item, every meeting, including
"quick" logistics meetings. Never report a meeting as ingested until every
item passes. Saying "ingested" first and fixing later is a contract
violation; a false completion report is worse than an honest partial one.
V1 — Required sections have substance.
## Summary carries real outcomes (2+ bullets or a few substantive
sentences), not one vague line.
## Key Decisions, ## Action Items, and ## Notable Quotes each have
real content OR an explicit reason (_None — exploratory conversation._).
A bare - None. or _n/a_ written to silence the checklist is a violation.
Before writing "none", confirm against the transcript that there truly were
no decisions/commitments/quotes worth keeping.
V2 — Every people/companies slug has a page AND a timeline backlink.
For each person/company slug referenced by the meeting page:
gbrain get people/{slug} # page exists?
gbrain timeline people/{slug} # has an entry pointing back at this meeting?
A slug with no page means Phase 7/8 was skipped — go do it. A page with no
timeline entry for this meeting means the merge was incomplete — add it.
V3 — Speaker map resolved.
No Participant N / UNKNOWN_N / raw recorder labels remain in the page
without either a resolution or an explicit uncertainty flag ([Room],
⚠️ attribution uncertain). Every named speaker carries a confidence from
Phase 4. An unflagged anonymous label means speaker resolution was skipped.
V4 — Every quote grounded VERBATIM in the transcript.
Deterministic check (transcript retained): for each > blockquote,
verify its contiguous span appears in the transcript sidecar. Filler words
(like, you know, I mean) may be stripped from both sides; a genuine
quote still shares a long contiguous run of content words, a fabricated one
does not.
gbrain get meetings/{date}-{slug}-transcript # then locate each quote span
Prompt checklist (no transcript retained): re-read the source notes and
attest that each quote traces to them word-for-word.
When a quote fails grounding, the fix is almost always to restore the spoken
phrasing (or pick a cleaner contiguous span) — NOT to delete the quote, and
never to keep the paraphrase inside the blockquote.
V5 — Fabricated-attendee sanity checks.
Recorders confidently invent names and emails for unlabeled speakers.
An attendee name that appears NOWHERE in the transcript or roster evidence
did not survive the evidence — treat it as a guess. Identify the real person
from in-call tells (companies, shared history) or remove the name.
An attendee email whose domain doesn't match the person's claimed org is a
fabrication suspect (recorders commonly grab the host's domain). Verify the
real address or clear the field.
When either fires: do NOT auto-rename or auto-fill. Read the transcript,
resolve by evidence, correct the page + frontmatter + backlinks, then re-run
this checklist.
V6 — Sequence verify (order, not substance).
A meeting page can be right on depth and wrong on order — they are independent
failure axes, and V1–V5 never look at order. Verify the narrated sequence:
Extract event atoms. Walk the page body in document order and list each
narrated sub-event as {phase, place, people} — where phase is its
position relative to the meeting's central event (before / during / after)
as the PROSE claims it.
Deterministic checks (agent-executed, mechanical — no judgment needed):
PHASE_INVERSION (hard): an atom narrated as "before" appears after
the central event in the document's sequence (or vice versa). Example: the
page narrates the debrief of alice-example's pitch, then narrates the
pitch itself as if still upcoming.
TELEPORT (hard): the same person is placed in two non-adjacent
locations with no transit or movement narrated between them. Example:
alice-example is in the car en route in one paragraph and already inside
the acme-example office in the next, with nothing connecting the two.
Day-timeline corroboration (soft):
gbrain day {date}
assembles that day's events and timeline entries across the whole brain.
DAY_TIMELINE_GAP: a narrated participant who never appears in the
day's assembled timeline is a SIGNAL, not a hard fail — most often it
means their timeline entry was never written (go fix Phase 7/8), and
occasionally it means the narration names someone who wasn't there.
Investigate; don't auto-block.
Verdict — PASS or BLOCK.
No hard contradiction → PASS. Proceed to report.
Any PHASE_INVERSION or TELEPORT → BLOCK. The meeting is NOT ingested.
Fix the narration (re-read the transcript for the true order) and re-run
V6 — or, if the user explicitly says the order is fine as written, record
a waive. A waive is logged in the report as acknowledged, NOT
resolved: sequence: WAIVED by user — {contradiction} stands.
Genuinely ambiguous order (flashbacks, prose that implies but doesn't
state a sequence) is a judgment call, not a deterministic class — flag it
in the report, don't block on it.
The loop: fix → re-check → fix, until every item passes (or V6 is
explicitly waived). Only then report.
Sensitive meetings
If the title or transcript signals legal or deeply personal content
(deposition, attorney, counsel, privileged, health): keep the page minimal and
factual, do not extract biographical color into other pages, and prefer
restraint on back-links. When in doubt about whether content should propagate,
ask the user.
Output Format
Meeting page created AND the verification checklist passed. Report: "Meeting
ingested: {N} attendees enriched, {N} entities updated, {N} action items
captured. Verification: passed. Sequence: PASS." If the sequence check was
waived, say so explicitly: "Sequence: WAIVED by user — {contradiction} stands
(acknowledged, not resolved)." If the recording was split, report one line per
resulting meeting page. If a claim was withheld or a contradiction flagged by
Phase 6, list each flag — the user resolves them, not silence. If any
checklist item cannot be made to pass, report the meeting as NOT ingested and
name the failing item.
Anti-Patterns
Creating the meeting page without enriching attendees
Skipping entity propagation ("I'll do that later")
Not merging timelines across all mentioned entities
Creating attendee stubs without meaningful content
Filing meeting pages without cross-linking to all participants
Building a per-vendor pipeline or paraphrasing this skill in ad-hoc
instructions instead of normalizing to the transcript record
Treating a recorder auto-summary name or claim as fact without transcript
verification
Writing a summary's relationship/role/ownership claim into an entity page
without finding the verbatim transcript line
Writing a garbled proper noun bare instead of resolving canonical spelling
Fanning an unverified claim out to multiple entity pages
Silently overwriting established brain truth with a new meeting claim
instead of flagging the contradiction
Guessing a speaker identity instead of writing [Room]/UNKNOWN and flagging
Truncating a transcript, or paraphrasing inside a quote blockquote
Ingesting one page for a recording that contains two meetings
Reporting "ingested" before the verification checklist passes
Writing - None. under a required section to silence the checklist without
confirming against the transcript
Skipping the checklist because "it's just a quick logistics meeting"
Declaring a page ingested while a sequence contradiction stands unresolved
and unwaived
Treating a user waive as a resolution — a waive is an acknowledgment; the
contradiction is still in the page
Passing a page that puts a person in two non-adjacent places with no
transit between them
Re-checking substance in the sequence pass (or order in V1–V5) — the axes
are orthogonal by design
