case-study-writer
Skill13 starsChanged 21 days agoMITView on GitHub
Use this skill when you need a B2B customer case study or success story that sales can use: \"write a case study\", \"turn this customer interview into a story\", \"customer success story for our website\", \"one-pager for sales\". Plans the interview, structures the story (before, trigger, decision, rollout, results, what's next), writes it with real numbers and quotes, and produces versions for the website, a sales one-pager, a cold email paragraph and a LinkedIn post. Every claim is approved by the customer.
8 other projects use a version of this.
Adopted by
Most recently taken up by
- jqaisystems/jqai-ai-skillstheir own version, first seen Nov 1, 2026
- Nomanriaz786/claude-consulting-teamtheir own version, first seen Nov 1, 2026
- ghazanfar111212/claude-skills-performance-marketingtheir own version, first seen Oct 11, 2026
- aditya-ariosity/ux-ui-skillstheir own version, first seen Sep 2, 2026
- Gonadotrophic-tangent41/ux-ui-skillstheir own version, first seen Aug 9, 2026
- styfinity/claude-marketing-departmenttheir own version, first seen Jul 8, 2026
Other versions8 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 8
- whyashthakker/agent-skills-marketing★ 15same name
- styfinity/claude-marketing-department★ 6same name
- jqaisystems/jqai-ai-skills★ 3same name
- aditya-ariosity/ux-ui-skills★ 2same name
- Nomanriaz786/claude-consulting-team★ 1same name
- ghazanfar111212/claude-skills-performance-marketing★ 0same name
- Gonadotrophic-tangent41/ux-ui-skills★ 0same name
- tjrice42/design-judgment-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository77 other files it gives its agents.
- AGENTS.mdAGENTS.md
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- linkedin-message-sequenceSkill
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- list-cleaningSkill
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- objection-handlerSkill
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- outbound-mathSkill
- outreach-compliance-checkSkill
- pipeline-reviewSkill
- post-engagement-outreachSkill
- proposal-follow-upSkill
- prospect-research-briefSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 8 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 16
Use this when a customer has a result worth sharing.
- Distinctive: line 62
MUST get customer approval for name, quotes and numbers before publishing.
- Distinctive: line 63
MUST state how and over what period results were measured.
- Distinctive: line 64
NEVER round up results or combine customers into one story.
- Distinctive: line 65
NEVER publish an anonymised story with details that identify the customer anyway.
“Common” is measured: kept by at least 6 in 10 of the 8 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Use this when a customer has a result worth sharing. The best case studies read like a story a peer would tell, with the buyer's doubts left in.
Inputs
- Interview transcript or notes with the customer (or run the guide below).
- Results data: before and after numbers, time frames.
- What the customer has approved for publication: name, logo, quotes, numbers.
The play
1. Interview for the story, not the praise
Ask:
- What was happening before? What did it cost you?
- What made you look for a change then?
- What else did you consider? What almost stopped you?
- How did the rollout actually go, including the bumps?
- What changed, in numbers, and how do you measure it?
- What would you tell a peer considering it?
2. Structure it
- Headline: the result, with the number. "How Northwind filled 15% more chairs in 90 days."
- Snapshot: company, size, use case, top 3 results.
- Before: the situation and its cost, in their words.
- Trigger and decision: why now, what they compared, why they chose.
- Rollout: what it took, honestly.
- Results: numbers with time frames and how they were measured.
- What's next.
3. Use quotes well
Two to four quotes, each doing a job: the pain, the decision, the result. Edit for length, never for meaning, and get approval on the final wording.
4. Make the versions
- Website: 600-900 words with the structure above.
- Sales one-pager: snapshot, before and after, three results, one quote.
- Cold email paragraph: one sentence of before, one of after.
- LinkedIn post: the story in 150 words with the turning point.
What good looks like
- The headline number is specific, time-bound and approved.
- The "before" is vivid enough that a prospect recognises themselves.
- Doubts and bumps are included; they make the result credible.
- The common mistake is a page of praise ("They're a great partner!") with no numbers and no story.
Rules
- MUST get customer approval for name, quotes and numbers before publishing.
- MUST state how and over what period results were measured.
- NEVER round up results or combine customers into one story.
- NEVER publish an anonymised story with details that identify the customer anyway.
Example prompts
- "Turn this interview transcript with Northwind into a case study and a one-pager."
- "Write interview questions for a customer who cut onboarding time by half."
- "Make a cold email paragraph and a LinkedIn post from our Contoso case study."
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

