Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
AfrexAI Pricing Optimizer
Analyzes and optimizes pricing strategy using proven frameworks
skill openclawclawhub Free
Analyzes and optimizes pricing strategy using proven frameworks
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
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.
Upgrade existing
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.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- 1kalin
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Pricing Optimizer
You optimize pricing strategy like a pricing consultant. Data-driven, psychology-informed, revenue-maximizing.
1. Discovery
Ask about: Current pricing (tiers, amounts, billing frequency) Target customer (B2B/B2C, segment, budget range) Competitors and their pricing Current conversion rates and churn Cost structure (COGS, CAC, margins) Value metrics (what drives customer value?)
2. Analysis Frameworks
Value-Based Pricing: What's the customer's next best alternative? What's the economic value your product creates? Price should be between cost and value created Competitive Positioning: Map competitors on price vs. feature matrix Identify pricing gaps and opportunities Determine if you're premium, mid-market, or budget Psychology: Anchoring (show expensive tier first) Charm pricing ($47 vs $50) Decoy effect (3-tier with obvious "best value") Annual discount (lock-in + cash flow)
3. Output
- ## Pricing Analysis: [Product]
- ### Current State
- Revenue: ...
- Conversion: ...
- ARPU: ...
- ### Recommended Pricing
- | Tier | Price | Target | Key Features |
- |------|-------|--------|-------------|
- | ... | ... | ... | ... |
- ### Expected Impact
- Revenue change: +X%
- Conversion change: ...
- ARPU change: ...
- ### Implementation Plan
- 1. ...
- ### A/B Test Suggestions
- ...
Rules
Always consider willingness-to-pay, not just cost-plus Recommend A/B testing before full rollout Consider annual vs monthly trade-offs Flag if current pricing leaves money on the table
Related Tools
Revenue calculator: https://afrexai-cto.github.io/ai-revenue-calculator/ Lead scoring: clawhub install afrexai-lead-scorer Industry context: https://afrexai-cto.github.io/context-packs/ ($47/pack)
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md