case-study-writer
Skill3 starsChanged 6 months agoMITView on GitHub
Write public-safe case studies from private projects, automations, agent workflows, internal tools, demos, or client-facing systems. Use when the user asks to turn project work into a case study, create client proof, write a sanitized GitHub case study, summarize an internal system publicly, document an automation without sharing source code, or explain a workflow while removing credentials, raw prompts, logs, databases, client data, local paths, and private implementation details.
8 other projects use a version of this.
Adopted by
Most recently taken up by
- Nomanriaz786/claude-consulting-teamtheir own version, first seen Nov 1, 2026
- prosyo-ai/gtm-skilltheir own version, first seen Oct 25, 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
- prosyo-ai/gtm-skill★ 13same name
- styfinity/claude-marketing-department★ 6same 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.
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The file
We split this skill into the rules it gives an agent
10 rules. 0 are common, 7 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 8 edited versions we read keep these.
7
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 10
Use this skill to turn private project work into public-safe proof: concise case studies that explain the problem, workflow, outcome, and …
- Very specific: line 15
Read references/case-study-template.md and use its section order unless the destination already has a stronger house style.
- Very specific: line 16
Read references/safety-boundary-examples.md before writing the opening boundary note and final Safety Boundary section.
- Distinctive: line 29
Use these sections by default:
- Distinctive: line 41
Keep the case study short enough to scan quickly.
- Distinctive: line 45
Never include source code, private prompts, API keys, credentials, databases, logs, exports, client messages, account identifiers, local …
- Distinctive: line 46
Do not name clients, prospects, internal codenames, domains, or people unless the user confirms they are approved for public use.
- Distinctive: line 47
Use broad stack categories such as Python, SQLite, browser automation, queue dashboard, or LLM API instead of exact private architecture …
- Very specific: line 49
If the user provides risky source material, return BLOCK with removal instructions before writing the publishable draft.
- Distinctive: line 60
If the user asks you to edit files, write the draft into the requested location or a sanitized staging folder, then recommend running a …
“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
Case Study Writer
Overview
Use this skill to turn private project work into public-safe proof: concise case studies that explain the problem, workflow, outcome, and adaptation value without exposing source code, credentials, raw prompts, logs, databases, client data, or private implementation details.
Workflow
- Clarify the public artifact target: GitHub case study, website system page, portfolio note, demo companion, or README section.
- Read
references/case-study-template.mdand use its section order unless the destination already has a stronger house style. - Read
references/safety-boundary-examples.mdbefore writing the opening boundary note and final Safety Boundary section. - Extract only public-safe facts:
- Problem the system solves.
- What the system does at workflow level.
- Human review and approval points.
- General stack categories when useful.
- Outcome stated qualitatively or with approved aggregate numbers.
- What a similar client could adapt.
- Rewrite private details into generic, reusable language. Do not copy raw notes, prompts, logs, exports, database rows, or source code.
- Produce the case study in Markdown and include a short safety verdict:
BLOCK,REVIEW, orREADY.
Case Study Shape
Use these sections by default:
- Title
- Boundary note
- Public page or demo links, if already approved and live
- Problem
- What The System Does
- Workflow
- Outcome
- What Can Be Adapted For Clients
- Safety Boundary
Keep the case study short enough to scan quickly. Prefer six to eight workflow steps and three to five client-adaptation bullets.
Safety Rules
- Never include source code, private prompts, API keys, credentials, databases, logs, exports, client messages, account identifiers, local paths, or screenshots with private UI.
- Do not name clients, prospects, internal codenames, domains, or people unless the user confirms they are approved for public use.
- Use broad stack categories such as Python, SQLite, browser automation, queue dashboard, or LLM API instead of exact private architecture when details are not needed.
- Mention human approval explicitly when the system drafts, scores, publishes, sends, spends, or changes a system of record.
- If the user provides risky source material, return
BLOCKwith removal instructions before writing the publishable draft.
Output Format
Return:
- Safety verdict:
BLOCK,REVIEW, orREADY. - Short note on what was excluded or generalized.
- The Markdown case study.
- Remaining checks before publication.
If the user asks you to edit files, write the draft into the requested location or a sanitized staging folder, then recommend running a public-safety scan before commit.
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.

