Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Analyze and optimize product or service pricing using value-based, cost-plus, competitive, and tiered models with actionable recommendations.
Analyze and optimize product or service pricing using value-based, cost-plus, competitive, and tiered models with actionable recommendations.
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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Analyze and optimize pricing for any product or service. Covers value-based, cost-plus, competitive, and tiered pricing models.
Runs pricing power analysis (1% price increase = 12.5% profit increase for most businesses) Calculates willingness-to-pay ranges using Van Westendorp methodology Models tier structures (Good/Better/Best) with anchor pricing Identifies pricing mistakes: leaving money on table, racing to bottom, ignoring segments Generates competitor pricing matrices Produces actionable pricing recommendations with revenue impact estimates
Ask your agent: "Analyze pricing for [product/service]" or "Help me set pricing for [new offering]" Provide: Current pricing (if any) Target customer segment Key competitors and their pricing Cost structure (fixed + variable) Current conversion rate and volume The agent will return a full pricing analysis with specific recommendations and projected revenue impact.
Calculate price based on quantified customer value, not your costs. The #1 pricing mistake is anchoring to cost instead of value delivered.
Good: Entry point, captures price-sensitive segment (60-70% of value) Better: Sweet spot, where most revenue comes from (85-90% of value) Best: Premium anchor that makes Better look reasonable (100%+ of value)
Premium (20-50% above market): requires clear differentiation Parity (±10%): compete on features/experience Penetration (20-40% below): volume play, requires cost advantage
Drop price 10%, measure volume change If volume increases <10% → you have pricing power, raise prices If volume increases >15% → you're in elastic territory, optimize for volume
ACV (Annual Contract Value) — are deals getting bigger or smaller? Discount frequency — if >30% of deals need discounts, your list price is wrong Time-to-close by price point — longer cycles at higher prices may still be more profitable Expansion revenue % — best signal that your pricing captures ongoing value
AI Revenue Leak Calculator — Find where you're losing money AI Agent Context Packs — Industry-specific agent configs ($47/pack) Agent Setup Wizard — Get your AI agent running in minutes
Data access, storage, extraction, analysis, reporting, and insight generation.
Largest current source with strong distribution and engagement signals.