Fathom core workflow a
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SKILL.md
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Fathom Core Workflow: Meeting Analytics
Overview
Build automated meeting analytics: extract action items, sync to project management tools, analyze meeting patterns, and create follow-up workflows.
Instructions
Step 1: Batch Meeting Export
from fathom_client import FathomClient
from datetime import datetime, timedelta
client = FathomClient()
# Get all meetings from last 7 days
week_ago = (datetime.utcnow() - timedelta(days=7)).isoformat() + "Z"
meetings = client.list_meetings(
limit=50,
created_after=week_ago,
include_summary="true",
)
for meeting in meetings:
print(f"Meeting: {meeting['title']}")
print(f" Date: {meeting['created_at']}")
print(f" Summary: {meeting.get('summary', 'N/A')[:100]}...")
for item in meeting.get("action_items", []):
print(f" Action: {item['text']} -> {item.get('assignee', 'unassigned')}")
print()
Step 2: Action Item Extraction Pipeline
def extract_action_items(meetings: list[dict]) -> list[dict]:
items = []
for meeting in meetings:
for action in meeting.get("action_items", []):
items.append({
"meeting_title": meeting["title"],
"meeting_date": meeting["created_at"],
"action_text": action["text"],
"assignee": action.get("assignee", "unassigned"),
"meeting_id": meeting["id"],
})
return items
# Sync to task tracker
def sync_to_linear(items: list[dict], api_key: str):
for item in items:
# Create Linear issue from action item
pass
Step 3: Meeting Pattern Analysis
def analyze_meeting_patterns(meetings: list[dict]) -> dict:
total = len(meetings)
total_duration = sum(m.get("duration_seconds", 0) for m in meetings)
total_actions = sum(len(m.get("action_items", [])) for m in meetings)
return {
"total_meetings": total,
"total_hours": round(total_duration / 3600, 1),
"avg_duration_min": round(total_duration / total / 60, 1) if total else 0,
"total_action_items": total_actions,
"avg_actions_per_meeting": round(total_actions / total, 1) if total else 0,
}
Resources
Next Steps
For CRM sync and webhook automation, see fathom-core-workflow-b.