process-transcripts

name: process-transcripts description: Process unprocessed transcripts in system/intake/ into atlas/meetings, atlas/decisions, atlas/people updates, and gtd/inbox proposals. Uses Gemini 3.1 Flash Lite as the structured extractor (~$0.002/transcript, 4s latency) and Claude for vault integration (wikilink resolution, matching cross-updates, file ops, verification). Operator-confirmed per transcript. Honors matching, action-item ownership, source-documentation, and the source-processing-pattern intake → process → archive flow.

/process-transcripts

Move raw transcripts through the extraction pipeline into structured vault notes. Operator confirms each transcript before processing. Never auto-process in the background.

Architecture

Two-model pipeline. Gemini does cheap structured extraction; Claude does the vault discipline work that Gemini can't.

intake/{slug}.md (verbatim)
        │
        ▼  config/scripts/extract-transcript-gemini.sh
Gemini 3.1 Flash Lite (~$0.002, ~4s)
        │  strict JSON schema (.claude/skills/process-transcripts/schema.json)
        │
        ▼  Claude (Opus or Sonnet via subagent)
   • Validate JSON
   • Resolve names → wikilinks (Glob over atlas/people/)
   • Network-scope filter for person notes
   • Write atlas/meetings/{slug}.md
   • Apply matching cross-updates
   • Route action items by owner_category
   • Move intake → transcripts/
   • check-wikilinks.sh on every touched file

The Gemini prompt + JSON schema live next to this file:

• prompt.txt
• schema.json

Both are versioned with the skill so changes are auditable.

Invocation

• /process-transcripts — interactive, one transcript at a time
• /process-transcripts {path} — process a specific transcript
• /process-transcripts --all — process every unprocessed transcript without per-file confirmation (use sparingly)

Source location

Per [[../../rules/source-processing-pattern]], unprocessed transcripts live in system/intake/. Processed transcripts get moved to system/transcripts/ (the archive) only after every downstream artifact is produced AND verified. Never process a transcript that's still in system/transcripts/ — that's the post-processing archive; if it's there it's already done.

Phases (per transcript)

1. Pre-flight

Read the transcript's frontmatter. Verify:

• processed: false
• source-kind: transcript
• source-format is one of: granola-public-api, google-meet-transcript, gemini-meet-transcript

If processed: true, skip.

Pre-load vault context that downstream phases need (do this BEFORE the Gemini call so the wikilink resolution work in Phase 3 is fast):

• Glob atlas/people/*.md — list of person notes for wikilink resolution
• If meeting title or attendees match a known client, read atlas/clients/{slug}/_brief.md and _status.md
• If the meeting title matches a project, read its _brief.md and _status.md
• Recent atlas/decisions/ (last 30 days) — for contradiction detection

2. Gemini extraction

Run the extraction script, capturing to a unique temp file (never a shared fixed path like /tmp/extraction.json — under Parallel backlog mode below, concurrent agents would clobber each other):

EXTRACT_JSON=$(mktemp /tmp/extraction-XXXXXX.json)
bash config/scripts/extract-transcript-gemini.sh {transcript-path} > "$EXTRACT_JSON"

The script:

• Reads the prompt from .claude/skills/process-transcripts/prompt.txt
• Reads the schema from .claude/skills/process-transcripts/schema.json
• Calls Gemini 3.1 Flash Lite with responseMimeType: application/json + responseSchema
• Validates JSON parse
• Emits token usage to stderr, JSON to stdout

On failure (exit non-zero), see § Failure fallback below.

3. Mid-ingest checkpoint (high-stakes only)

If ANY of these apply, pause and present the Gemini-extracted summary + action item routing to the operator for confirmation BEFORE writing anything:

• Transcript title contains [HIGH STAKES] or [CONFIDENTIAL]
• Operator flagged it ahead of time
• Gemini returned "sensitive": true
• Gemini returned "speaker_resolution_confidence": "low"

For routine transcripts (Google Meet + Gemini high-confidence, work topics, sensitive=false), skip the checkpoint.

4. Wikilink resolution + vault-fit

Take the extracted JSON and convert names → wikilinks:

• For each name in attendees_present, decisions[].made_by, action_items[].owner, people_observations[].person: check if atlas/people/{slug}.md exists.

  • Exists → use [[slug]]
  • Doesn't exist → use plain text first-name (per [[../../rules/no-fabrication]] — never guess a last name). Note in step 5 for person-note proposal evaluation.

• For project mentions or client mentions: same pattern. Use existing wikilinks where they resolve; plain text otherwise.

Confidence-driven attribution:

5. Write the meeting note

atlas/meetings/{YYYY-MM-DD}-{topic-slug}.md per [[../../objects/meeting]]. Build from the extracted JSON:

Required body sections (always present):

• Summary — Gemini's summary field
• Key Topics — Gemini's key_topics[]
• Decisions — Gemini's decisions[] (inline routine ones; durable ones get standalone notes per step 6)
• Action Items — Gemini's action_items[] (full record; owner-based routing happens in step 7)
• Source — wikilink back to the intake transcript file

Optional sections (only when Gemini's arrays are non-empty):

• Key Quotes — key_quotes[]
• People Observations — people_observations[]
• Open Questions — open_questions[]

Frontmatter:

• sensitive: true if Gemini flagged it (see [[../../objects/meeting]] § Confidentiality)
• attendees: from attendees_present[] (wikilinks where they resolve, plain text otherwise)
• transcript: wikilink to the intake source

6. Apply matching

Update each touched entity in the same pass per [[../../rules/matching]]:

• Attendees with vault notes — add substantive new context from people_observations[] with inline footnote citation to the meeting note. For attendees without a vault note, decide per the network-scope filter in [[../../objects/person]]:
  • Person is in the operator's direct network and meets ≥3-mention threshold → propose [REVIEW] for person note creation
  • Person is a clients'-client / homeowner / tertiary mention → mention by name in the meeting body; do NOT propose a person note
• Decisions — durable decisions (durability: "durable" from Gemini) get standalone atlas/decisions/{date}-{slug}.md notes. Routine ones stay inline.
• Client / business _status.md — substantive new context warrants an update.

7. Route action items by ownership

Use Gemini's owner_category enum:

The meeting note's ## Action Items section captures the full record — every commitment made in the room, regardless of owner. The inbox is the operator's GTD surface only: their own actions, plus the rare delegated item that hard-blocks them.

[!warning] Delegated ≠ the operator's inbox The single biggest source of inbox bloat is routing every team commitment into the operator's inbox. Don't. The operator does not track their team's task lists. A team item only reaches them when blocks_operator: true — and that goes to waiting/, not the inbox. When in genuine doubt about whether something blocks them, default to inline-only (false); a missed blocker resurfaces naturally, an over-eager inbox does not self-clean.

The [REVIEW] flood-guard cap (≤7 per session) applies to [REVIEW] proposals (uncertain inferences). It does NOT apply to [ACTION] items.

8. Flip source state and archive

Update intake-file frontmatter:

• processed: true
• processed-into: — list with wikilinks to meeting note + any standalone decisions + any new person notes + any inbox items

Then move the file: system/intake/{filename} → system/transcripts/{filename} via mv. The transcript stays in system/transcripts/ permanently as the audit trail.

9. Verify

Run bash config/scripts/check-wikilinks.sh on:

• The new meeting note
• Any decision notes created
• Any person notes created or updated
• Any client/business _status.md updated
• The moved transcript file
• Any inbox items created

Zero broken required before declaring done. The script catches both [[wikilinks]] and backtick-style inbox references (`[ACTION] foo`).

10. Log

Hook fires source-processed and object-created events automatically. No manual log entry needed.

Failure fallback

If extract-transcript-gemini.sh exits non-zero:

Step 2 (Sonnet fallback): Delegate to the knowledge-management subagent with model: sonnet. Subagent prompt MUST be self-contained per the existing delegation pattern (see § Delegation pattern below). Sonnet does the full synthesis the way the pre-Gemini skill did — slower and more expensive, but reliable.

If Sonnet also fails: Stop, surface to the operator. Do not silently downgrade further.

Delegation pattern (when Gemini fallback fires, or for batch processing)

For long transcripts (≥500 utterances), batches of multiple transcripts, or when the operator wants to keep the main session light, delegate to a knowledge-management subagent with model: sonnet. Sonnet handles the extraction craft well at meaningfully lower cost than the main session's model.

The subagent prompt MUST be fully self-contained — it sees zero of the main session's context. Required elements:

1. The intake file paths.
2. Operator-confirmed attendee list (if known) — the actual people in the room, not just the calendar invitees.
3. Calendar invitees who should NOT be treated as present (e.g., a calendar-only invitee on a client design-group meeting).
4. Existing person-note paths for attendees, so the agent knows which wikilinks resolve.
5. Client folder and active-project folder paths for matching cross-updates.
6. Rule files to read — config/objects/meeting.md, config/rules/source-processing-pattern.md, config/rules/matching.md, config/rules/no-fabrication.md, config/rules/double-entry-knowledge.md, config/rules/writing-style.md, plus this skill.
7. Known sensitive content the meeting touches — so the agent sets sensitive: true proactively.
8. Required output schema — what files to produce, what files to update, what to move, what to verify with check-wikilinks.
9. Final-report shape — speaker resolution summary, files produced/updated, anything unexpected, open items.

The main session's role after dispatch: read both meeting notes end-to-end, spot-check matching, verify check-wikilinks ran clean.

Parallel backlog mode

The delegation above runs one subagent at a time (or sequentially). When the backlog is large — ≥10 unprocessed transcripts, or explicit operator request — fan out to multiple subagents in parallel. Parallel writers with no file locking means last-writer-wins clobbering is a real hazard, so this mode trades raw parallelism for a strict ownership boundary. Do NOT use it for the normal interactive one-at-a-time flow — that stays simple and same-pass.

1. Partition into disjoint clusters. Group the transcripts so no two clusters are expected to touch the same entity (e.g. all of one client's meetings in one cluster; each team member's 1:1s in their own cluster). Build a quick preflight entity map (Glob atlas/people/*, atlas/clients/*, gtd/projects/*) so the partition is grounded, not guessed.

2. Ownership is a path denylist, not an entity inference. Each parallel agent owns — and may write — only files uniquely produced by its cluster:

• its meeting notes (atlas/meetings/{date}-{slug}.md)
• its uniquely-named inbox/waiting items ([ACTION]/[REVIEW]/[QUESTION]/[WAITING])
• standalone decision notes with unique slugs
• its own transcripts' frontmatter + the mv into system/transcripts/ (after verification)

Everything else is shared and off-limits while fanning out — by path, regardless of whether the agent thinks it "owns" the entity (agents can be wrong about identity):

• any atlas/clients/*/_status.md, atlas/businesses/*/_status.md, gtd/projects/*/_status.md, any _brief.md
• any person note that more than one cluster could touch
• any shared index/state/log file

3. Shared updates come back as durable findings — not chat. A parallel agent NEVER edits a shared file. It writes each needed change as a structured finding to a durable file (e.g. system/_processing/findings/{run-id}/{agent}-{n}.md), not just its final report — if the consolidation step dies, chat-only findings are lost. Each finding carries: target_path, entity, source_meeting, source_transcript, date, proposed_text, reason, confidence. If an agent discovers a cross-cluster entity mid-run (the partition was wrong), it stops writing that shared file and emits a finding flagging the overlap.

4. One sequential consolidation pass. After ALL parallel agents finish, a single agent (or the main session) applies every finding — one file at a time, chronological by source-meeting date per target file (per [[../../rules/matching]] § Conflicting information), deduping findings that target the same file + same source + same claim, and preserving genuine conflicts with source attribution (create a [QUESTION] only when state is actually ambiguous). Make it idempotent: each applied addition carries its source wikilink, so a re-run skips what's already present. Then run check-wikilinks.sh on every touched file.

5. Manifest + reconciliation — "moved" ≠ "done". Each agent returns a per-transcript manifest (processed / files created / files moved / findings emitted / verification result). Before declaring the run complete, reconcile by scanning BOTH system/intake/ and system/transcripts/: a transcript counts as done only when processed: true, processed-into: is populated, its meeting note exists, and check-wikilinks passed — not merely because it landed in the archive folder. An agent that died mid-cluster can leave a note written but not moved, or moved with an incomplete processed-into: — the reconciliation scan is what catches it; re-dispatch the stragglers.

Confidentiality

If the meeting note carries sensitive: true (set by Gemini or by operator flag), apply confidentiality conventions per [[../../objects/meeting]] § Confidentiality:

• Internal traceability stays — meeting note links to transcript and people as usual
• Any content draft proposed from this meeting must anonymize identifying details
• Add a [QUESTION] if any insight is unusually identifiable and you're unsure whether it can be shared externally

Sensitive transcripts still go through the Gemini extraction path. The data is already in WorkDesk OS (a third-party indexable surface). Sending the verbatim to Gemini's API doesn't materially change the trust posture, and the cost/latency savings are real. If you want a "Gemini-bypass for sensitive content" gate, add it explicitly via operator instruction — don't infer it from sensitive: true.

Cost reference

What NOT to do

• Don't fabricate attendees. If Gemini returned a name not in the transcript, drop it. Per [[../../rules/no-fabrication]].
• Don't treat the Granola/Google attendees-from-source field as ground truth. That's the calendar invite list, not actual presence. Use Gemini's attendees_present (which is grounded in transcript speaker turns).
• Don't fill timeline gaps. If the transcript jumps topics, don't reconstruct what was missed.
• Don't guess speaker names when Gemini returned low confidence. Plain Speaker X (unidentified) + [REVIEW] beats fabrication.
• Don't create person notes for clients' clients (homeowners, prospects, tertiary mentions). Per [[../../objects/person]] network-scope filter.
• Don't create inbox [ACTION] items for client_team, client_client, or non-blocking team commitments. Per [[../../objects/action]] ownership filter and Gemini's owner_category enum. Only operator items create inbox [ACTION]s; blocking team items create a waiting/ entry.
• Don't apply the [REVIEW] flood-guard cap to [ACTION] items — every operator commitment becomes its own file.
• Don't process a transcript without operator confirmation in interactive mode.
• Don't synthesize from Gemini's Tab-1 Notes summary or any pre-baked summary — the pipeline runs against the verbatim only. Per [[../../rules/source-processing-pattern]].
• Don't move the transcript out of system/intake/ until every downstream artifact is produced AND verified clean.
• Don't tweak prompt.txt or schema.json without re-testing. Both live next to this file and are easy to iterate, but every change should be smoke-tested on at least one Granola + one Google Meet transcript before being treated as production.