Individual skill
b2b-case-study-production
Use this skill when proof assets need to be produced from real client work: "write a case study", "we need case studies for the new site", "our clients won't let us name them", "the sales team has nothing to send", "turn these client results into stories", "anonymize this client win", "build a case study section". Produces a case study series with an intake process, an anonymization framework that keeps stories credible without naming anyone, and a deployment map that puts each story in front of buyers in motion.
skills/vesselin-malev/b2b-case-study-production/SKILL.md
Source commit 5d786aad0c7b2ca59b1abf1f601f9407ca261996
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- Last checked
- Nov 11, 2026
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- Oct 20, 2026
- License
- MIT
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SKILL.mdcore · 5,409 bytesreferences/anonymization-rubric.mddoc · 4,984 bytesreferences/intake-questionnaire.mddoc · 4,298 bytesreferences/story-structure.mddoc · 4,147 bytes
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Applies when real client results exist and proof assets do not. Produces a series of case studies a skeptical buyer believes and a sales team actually sends.
## The job of a case study
A case study succeeds when a specific buyer recognizes their own situation in the first hundred words and finds the causality plausible all the way down. It is written for the skeptical read: a buyer who has been burned before, scanning for the seam where marketing took over from reality. Applause is a side effect. Recognition closes deals.
## Real numbers, few of them
One or two verifiable anchor numbers per story. Everything else is narrative: what changed operationally, who stopped doing what, which meeting got shorter. A page carpeted in metrics reads as invented even when every figure is real, because buyers know real engagements produce two clean numbers and a lot of texture. And the rule under the rule: never fabricate, never round up, never "roughly double" a 1.7x. One invented figure, discovered, poisons every honest story in the set.
## Anonymize without bleaching
Clients who refuse to be named still produce usable stories, and the disguise follows a strict trade: drop the identifiers, keep the texture. Describe the client by durable attributes, a size band, a specialty or vertical, a region, a situation, specific enough that a peer thinks "that is exactly us", general enough that a determined guesser cannot confirm the identity. The full attribute table, rounding rules, and the re-identification check are in `references/anonymization-rubric.md`. The mediocre version anonymizes by deleting everything interesting, leaving "a mid-sized company improved efficiency", which protects the client by making the story worthless.