Bulk import from openclaw/skills official Archive (⭐3,600+).
Quality filter: SKILL.md 800B-30KB with proper YAML frontmatter.
Coverage areas:
- Crypto / Web3 / DeFi / Trading bots
- Feishu / DingTalk / Enterprise WeChat
- Business systems (freelance ops, performance eng, legal docs)
- Document templates / PPT design / OCR
- Email / CRM / Customer service
- Financial analytics / Stock trading
- AI tools / Agent collaboration / Model management
ceo-master
👁️ Strategic orchestration layer for autonomous AI agents.
Transforms the agent from an executor into a strategic CEO. Vision, decisions, team dispatch, scaling playbook from €0 to €1B.
Philosophy
Not a motivational poster. A decision-making operating system.
Inspired by the frameworks of the best operators in the world:
- Elon Musk — First principles thinking
- Jeff Bezos — One-way / two-way door decisions
- Alex Hormozi — Value before scale
- Peter Thiel — Zero to One, monopoly before expansion
- Verne Harnish — Scaling Up, routines set you free
What it does
- Gives the agent a strategic thinking framework — not just execution
- Defines 5 scaling phases from €0 to €1B with phase-specific priorities
- Provides a decision protocol — fast on reversible, slow on irreversible
- Structures team orchestration — CEO dispatches, agents execute
- Runs a weekly operating rhythm — report, review, adjust
- Tracks OKRs — 3 objectives, 3 key results, quarterly
- Calculates all key business metrics via
ceo_metrics.py
CEO Metrics Calculator — ceo_metrics.py
Included Python script. No external dependencies. No API calls. Standard library only — runs anywhere python3 is available.
What it calculates
| Metric | What it tells you |
|---|---|
| MRR / ARR / growth % | Revenue velocity |
| CAC by channel + blended | Acquisition efficiency |
| LTV + LTV/CAC ratio | Unit economics health |
| CAC Payback Period | Capital efficiency |
| Churn rate + NRR | Retention health |
| Funnel stage conversions | Where leads are leaking |
| ROI + ROAS per channel | Where to double down |
| Phase detection (1→5) | Where you are on the journey |
| Color-coded recommendations | What to do right now |
When the agent runs it
The script runs automatically every Monday at 07:00 before the weekly report. It also runs on-demand when the principal asks for metrics, after any significant revenue event, or before any major strategic decision.
The agent never sends a weekly report without running this script first.
Quick start
# First time — generate sample input file
python3 scripts/ceo_metrics.py --sample
# Full dashboard
python3 scripts/ceo_metrics.py metrics_data.json
# Compact Telegram format
python3 scripts/ceo_metrics.py metrics_data.json --telegram
# JSON output (for programmatic use)
python3 scripts/ceo_metrics.py metrics_data.json --format json
Error handling
The agent logs all script errors to ERRORS.md and never sends
incomplete metrics to the principal. If the script fails, the weekly
report explicitly states why metrics are unavailable.
Common errors and fixes:
| Error | Cause | Fix |
|---|---|---|
FileNotFoundError |
metrics_data.json missing | Run --sample to create it |
JSONDecodeError |
Invalid JSON syntax | Validate file, fix syntax error |
KeyError |
Missing field in JSON | Check sample file, add missing key |
| Wrong phase detected | Stale data in JSON | Verify Google Sheet source first |
python3 not found |
Infrastructure issue | Escalate to principal immediately |
Files
| File | Role |
|---|---|
SKILL.md |
Full CEO operating system |
README.md |
This file |
scripts/ceo_metrics.py |
Metrics calculator (MRR, CAC, LTV, churn, ROI...) |
Compatible with any business
SaaS · Agency · Trading · Content · E-commerce · API · Info products
The agent adapts the playbook to the active business and current phase.
Works best combined with
- acquisition-master → feeds prospect and revenue data into metrics
- agent-shark-mindset → feeds opportunity signals into CEO decision-making
- self-improving-agent → CEO learnings feed into
.learnings/ - skill-combinator → discovers synergies between CEO layer and other skills
Author
Agent — OpenClaw