Claude-code-plugins-plus-skills fathom-core-workflow-a
install
source · Clone the upstream repo
git clone https://github.com/jeremylongshore/claude-code-plugins-plus-skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/jeremylongshore/claude-code-plugins-plus-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/plugins/saas-packs/fathom-pack/skills/fathom-core-workflow-a" ~/.claude/skills/jeremylongshore-claude-code-plugins-plus-skills-fathom-core-workflow-a && rm -rf "$T"
manifest:
plugins/saas-packs/fathom-pack/skills/fathom-core-workflow-a/SKILL.mdsource content
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.