---
name: ai-team-ops-ec6776382e70
description: "Open-source AI marketing skills for Claude Code \u2014 growth experiments, sales pipeline, content ops, outbound, SEO, and finance automation"
---

# AI Team Ops

## Preamble (runs on skill start)

```bash
# Version check (silent if up to date)
python3 telemetry/version_check.py 2>/dev/null || true

# Telemetry opt-in (first run only, then remembers your choice)
python3 telemetry/telemetry_init.py 2>/dev/null || true
```

> **Privacy:** This skill logs usage locally to `~/.ai-marketing-skills/analytics/`. Remote telemetry is opt-in only. No code, file paths, or repo content is ever collected. See `telemetry/README.md`.

---

AI-powered team performance analysis and meeting intelligence: ruthless performance audits using the "Elon Algorithm" + automatic extraction of action items, decisions, and follow-ups from meeting transcripts.

## When to Use

Use this skill when:
- Evaluating team performance against OKRs/KPIs with a structured framework
- Stack ranking team members to identify A/B/C players
- Finding redundant roles, bottlenecks, and automation opportunities in your org
- Extracting action items and decisions from meeting transcripts
- Processing batch meeting notes into structured follow-up lists
- Pushing meeting action items to CRM (HubSpot) as tasks

## Tools

### Team Performance

| Script | Purpose | Key Command |
|--------|---------|-------------|
| `team_performance_audit.py` | Elon Algorithm: 5-step team audit + stack rank + scorecards | `python3 team_performance_audit.py --input team_data.json --output report.md` |

### Meeting Intelligence

| Script | Purpose | Key Command |
|--------|---------|-------------|
| `meeting_action_extractor.py` | Extract decisions, actions, follow-ups from transcripts | `python3 meeting_action_extractor.py --transcript meeting.txt --format markdown` |

## Configuration

All scripts use environment variables for LLM API access. Copy `.env.example` to `.env` and fill in your values.

### Required Environment Variables

- `ANTHROPIC_API_KEY` — Anthropic API key (Claude for analysis)
- `OPENAI_API_KEY` — OpenAI API key (alternative LLM provider)

### Optional Environment Variables

- `HUBSPOT_API_KEY` — HubSpot private app token (for pushing meeting action items as tasks)
- `LLM_PROVIDER` — `anthropic` (default) or `openai`
- `LLM_MODEL` — Model name override (default: `claude-sonnet-4-20250514` or `gpt-4o`)

## Data Flow

```
Role Descriptions + OKRs + Output Data (CSV/JSON)
        │
        ▼
┌──────────────────────────────────┐
│   team_performance_audit.py      │
│   5-Step Elon Algorithm:         │
│   1. Question requirements       │
│   2. Delete redundancies         │
│   3. Simplify workflows          │
│   4. Accelerate bottlenecks      │
│   5. Automate what's possible    │
│                                  │
│   + Score: velocity, quality,    │
│     independence, initiative     │
│   + Stack rank: A/B/C players    │
│   + Actions: promote/coach/exit  │
└──────────────────────────────────┘
        │
        ▼
Executive Summary + Individual Scorecards + Org Recommendations


Meeting Transcripts (text files or stdin)
        │
        ▼
┌──────────────────────────────────┐
│   meeting_action_extractor.py    │
│   Extract:                       │
│   • Decisions (who + context)    │
│   • Action items (owner +        │
│     deadline + priority)         │
│   • Open questions               │
│   • Key insights / quotes        │
│   • Follow-up meetings needed    │
│   • Implicit commitments         │
│   + Confidence scores            │
└──────────────────────────────────┘
        │
        ▼
Structured JSON / Markdown + Optional CRM Push
```

## Dependencies

- Python 3.9+
- `anthropic` or `openai` (for LLM-powered analysis)
- `requests` (for optional HubSpot integration)


---
Source attribution: ericosiu
Original project: https://github.com/ericosiu/ai-marketing-skills/blob/8088e1a167804d5615f6e982f62e5b4b6ff8f2f1/team-ops/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Single Grain

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: ericosiu
Original project: https://github.com/ericosiu/ai-marketing-skills/blob/8088e1a167804d5615f6e982f62e5b4b6ff8f2f1/team-ops/SKILL.md
Attribution basis: Source repository record

Fields of work: Marketing, Product Management, Sales
Roles: Customer Success Manager, Growth Marketer, Marketing Analyst, Product Manager, Sales Operations
Specialties: API
Tools: Anthropic API, HubSpot, OpenAI API
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: b76ae61b11fdee61cc64401dc64e749139df299137cbd6f953c154e71a7e172f