revenue-studio
A revenue-first solofounder studio that watches markets, finds monetizable pain, validates offers, ships narrow products, and compounds commercial memory across launches. Uses massive parallel agent orchestration with 8 layers: Signal Mesh, Extraction, Opportunity Graph, Cofounder Council, Revenue Lab, Build Studio, Launch Loop, and Portfolio Allocator.
Best use case
revenue-studio is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
A revenue-first solofounder studio that watches markets, finds monetizable pain, validates offers, ships narrow products, and compounds commercial memory across launches. Uses massive parallel agent orchestration with 8 layers: Signal Mesh, Extraction, Opportunity Graph, Cofounder Council, Revenue Lab, Build Studio, Launch Loop, and Portfolio Allocator.
Teams using revenue-studio should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/revenue-studio/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How revenue-studio Compares
| Feature / Agent | revenue-studio | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
A revenue-first solofounder studio that watches markets, finds monetizable pain, validates offers, ships narrow products, and compounds commercial memory across launches. Uses massive parallel agent orchestration with 8 layers: Signal Mesh, Extraction, Opportunity Graph, Cofounder Council, Revenue Lab, Build Studio, Launch Loop, and Portfolio Allocator.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Revenue-First Solofounder Studio
A complete system for seeking revenue through disciplined stage-gated autonomy.
## Architecture
### 8 Layers
1. **Signal Mesh** - Collect market signals from X, Reddit, RSS, changelogs
2. **Commercial Extraction** - Score pain severity and money signals
3. **Opportunity Graph** - Build market structure from signals
4. **Cofounder Council** - 7-agent decision making (CEO, PM, Skeptic, Economics, Monetization, Distribution, Research)
5. **Revenue Lab** - Validate pricing, offers, and channels before build
6. **Build Studio** - Ship narrow wedges with telemetry
7. **Launch Loop** - Outbound, content, and demo execution
8. **Portfolio Allocator** - Kill/pause/scale decisions
## Key Principles
- **Revenue-first** - No build without monetization + distribution signoff
- **Stage-gated** - 7 stages from Observe to Scale/Kill, no skipping
- **Parallel orchestration** - Spawn 40+ agents for speed
- **Memory continuity** - Write-ahead logging for restart resilience
- **Governance** - Hard rules, approval gates, audit trails
## Quick Start
```bash
# Spawn signal collection
openclaw spawn "collect market signals from X and Reddit"
# Run council review
openclaw spawn "run council review on thesis-001"
# Validate revenue hypothesis
openclaw spawn "create validation landing page for thesis-001"
```
## Output Files
Located in `revenue-studio/`:
- `QUICKSTART.md` - Operator's guide
- `portfolio/thesis-001.md` - First validated thesis
- `council/` - 7 decision frameworks
- `revenue-lab/` - Pricing, conversion, offer frameworks
- `governance/` - Rules, stage-gates, approvals
- `signals/` - Market intelligence
- `scoring/` - RWOS calculator
## Thesis Scoring
Revenue-Weighted Opportunity Score (RWOS):
```
RWOS = Pain × Frequency × Buyer Density × Purchase Intent ×
Speed-to-$ × Retention × Margin × Distribution × Expansion
− Penalties
```
Decision bands:
- 0-20: PASS
- 21-35: WEAK
- 36-50: MODERATE
- 51-65: STRONG
- 66-80: EXCELLENT
- 81-100: EXCEPTIONALRelated Skills
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