Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Projects revenue and net profit projections for OpenClaw sub-agent monetization strategies with sensitivity and break-even analysis.
Projects revenue and net profit projections for OpenClaw sub-agent monetization strategies with sensitivity and break-even analysis.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Gather Inputs: Users/mo, price ($/user/task), conv rate (%), churn (%), costs (% compute). Select Strategy: 1=API Sales, 2=Marketplace, 3=White-label, 4=Affiliates. Calculate: Monthly/annual rev, net profit. Use scripts/revenue-calc.py for models. Output: Table + sensitivity (e.g., +/-20% users) + next steps. Sensitivity: Test scenarios (low/med/high).
Input: Strategy 2, 100 users, $10/mo, 80% conv, 10% churn, 20% costs. Output: Monthly $800, Annual $8,640 net.
Sub: $9-99/mo Per-task: $0.01-1 Usage: $0.001/token Affiliate: 5-20%
Exec for precise calcs (input JSON → output JSON/table).
Full tables/examples.
Copy for formatted outputs.
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.