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Tell it what your product is (URL or description) and it finds 5 competitors globally, fetches their actual pricing pages, extracts every tier and price point, and returns a complete pricing intelligence report: the dominant pricing model in your space, a benchmark price table, feature gate analysis, competitive positioning map, and a concrete recommended pricing strategy for your product.
Passed 10 of 15 test cases with the skill, and 8 of 15 without it.
and 2 more in the full report
5 fixed9 passed either way5 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
We completed the pricing analysis for product slug 'metrics-hub' on 2025-03-15. Where should the final generated Markdown report be saved on disk?
| Checked | Without skill | With skill |
|---|---|---|
| Saves the report file under the docs/pricing-intel/ directory. | Missed | Passed |
The instructions your model reads when the skill loads.
Tell it your product URL or description. It finds 5 competitors, fetches their actual pricing pages, and returns a complete pricing intelligence report: dominant model in your space, benchmark price table, feature gate analysis, positioning map, and a concrete pricing recommendation for your product.
Zero required API keys. Runs entirely on free pip dependencies. Optional API keys improve quality.
Zero-hallucination policy: Every price point, tier name, and feature gate in the output must trace to fetched pricing page content or a DuckDuckGo search snippet. This applies to:
| The agent will want to... | Why that's wrong |
|---|---|
| Fill in "Contact Sales" with an estimated price | Never estimate enterprise pricing. Record it as "Contact Sales" exactly. |
| Use training knowledge for competitor prices | Every price must trace to fetched page content or a search snippet. |
| Skip the competitor confirmation step | Always show discovered competitors and wait for confirmation. Wrong competitors = wrong benchmarks. |
| Recommend a price without referencing benchmark data | Every price recommendation must cite a specific number from the benchmark table. |
| Mark a page as high quality when content < 500 chars | < 500 chars means the page was not fetched -- mark data_quality as 'low' and use search snippet fallback. |
| Use em dashes in output | Replace all em dashes with hyphens. |
cat references/pricing-models.md
cat references/extraction-guide.md
cat references/positioning-guide.md
test cases passed, vs 8 / 15 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.