c-kapsalis/value-pricing
v0.1.0MIT
A value-based pricing workflow that triangulates market, cost and buyer value, then turns the evidence into testable package hypotheses.
scripts
- value-pricing
- scripts/calibration.py
- scripts/code_features.py
- scripts/common.py
- scripts/conjoint_design.py
- scripts/conjoint_fit.py
- scripts/cost_model.py
- scripts/crawl_site.py
- scripts/hedonic.py
- scripts/ingest_corpus.py
9 more
- scripts/kappa.py
- scripts/llm_batch.py
- scripts/optimize_packages.py
- scripts/panel_analyze.py
- scripts/panel_build.py
- scripts/selftest.py
- scripts/synthesize.py
- scripts/value_mc.py
- scripts/value_metric.py
plugin.json
- name
- value-pricing
- version
- 0.1.0
- description
- A value-based pricing workflow that triangulates market, cost and buyer value, then turns the evidence into testable package hypotheses.
- author
- Christoforos Kapsalishttps://c-kapsalis.github.io/
- license
- MIT
- extensions
- com.openai
plugin.json
{
"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
"name": "value-pricing",
"version": "0.1.0",
"description": "A value-based pricing workflow that triangulates market, cost and buyer value, then turns the evidence into testable package hypotheses.",
"author": {
"name": "Christoforos Kapsalis",
"url": "https://c-kapsalis.github.io/"
},
"homepage": "https://github.com/C-Kapsalis/value-pricing",
"repository": "https://github.com/C-Kapsalis/value-pricing",
"license": "MIT",
"keywords": ["pricing", "value-based pricing", "willingness to pay", "conjoint", "packaging"],
"extensions": {
"com.openai": {
"interface": {
"displayName": "Value Pricing",
"shortDescription": "Evidence-led pricing research",
"longDescription": "Run a structured pricing study for a product or service. The skill gathers feature evidence, compares competitor prices, models customer value and delivery costs, convenes a persona council, and proposes packages with a real-buyer validation plan. Simulated-buyer outputs are hypotheses, not demand forecasts or substitutes for customer research. Python analysis scripts need a local shell and Python 3.11 or later.",
"developerName": "Christoforos Kapsalis",
"category": "Productivity",
"capabilities": ["Instructions", "Pricing strategy", "Market research"],
"websiteURL": "https://github.com/C-Kapsalis/value-pricing",
"supportURL": "https://github.com/C-Kapsalis/value-pricing/issues",
"defaultPrompt": [
"Help me estimate a defensible price for this product.",
"Design three pricing tiers from our value drivers and costs.",
"What evidence do we need before we raise our prices?"
],
"brandColor": "#102A43",
"composerIcon": "./assets/value-pricing-icon.svg",
"logo": "./assets/value-pricing-icon.svg"
}
}
}
}
What else this package ships
These files come with the package and this site does not publish them. They are listed so you know what is there before you install it.
- 18Python files
- 6YAML files
- 2data files
- requirements.txt
- LICENSE
Client extensions
Data this package carries for particular clients. The directory lists the clients named and never reads what is addressed to them.
- com.openai