Anonymised Case Study Writer logo

Anonymised Case Study Writer

Organization
microsoft
anonymised-case-study-writer

Use this skill when the user asks to create, improve, anonymise, structure, or publish a client case study, success story, engagement summary, or transformation story.

Overview

Publishermicrosoft
Repositorycat-agent-skills
Skill nameanonymised-case-study-writer
Stars
95
Forks
115
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by microsoft on GitHub. Read the source before you install it.

Installation

Install the Anonymised Case Study Writer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/microsoft/cat-agent-skills/tree/main/submissions/anonymised-case-study-writer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/microsoft/cat-agent-skills.git /tmp/cat-agent-skills
mkdir -p .claude/skills
cp -r /tmp/cat-agent-skills/submissions/anonymised-case-study-writer .claude/skills/anonymised-case-study-writer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Anonymised Case Study Writer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Anonymised Case Study Writer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Anonymised Case Study Writer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Anonymised Case Study Writer

Use this skill to create credible, anonymised case studies from engagement notes, interview notes, project summaries, outcomes, or source documents.

Core rules

  1. Protect confidentiality. Remove or generalise names, client identifiers, locations, internal programme names, system names, and commercially sensitive details unless the user explicitly says they are public.
  2. Do not invent outcomes. Only include outcomes, metrics, timelines, and benefits that appear in the source material or are supplied by the user.
  3. Preserve credibility. Prefer specific operational detail over vague marketing claims, while keeping the client anonymised.
  4. Make the story reusable. Structure the case study so it can be used in proposals, webpages, thought leadership, sales conversations, and internal learning.
  5. Separate unknowns. If outcomes or proof points are missing, include a short "Evidence gaps" section rather than fabricating.

Default anonymisation pattern

Use neutral descriptors such as:

  • A large public sector organisation.
  • A global consumer goods company.
  • A regulated financial services organisation.
  • A national healthcare provider.
  • A multinational energy business.

Only describe sector, scale, geography, and technology where the source material supports it and doing so does not identify the client.

Workflow

  1. Read all supplied source material.
  2. Extract the engagement context, problem, constraints, intervention, outcomes, and lessons.
  3. Identify any confidential or identifying details and replace them with safe descriptors.
  4. Draft the case study using the structure below.
  5. Check every claim against the source material.
  6. Add evidence gaps or suggested follow-up questions only where needed.
  7. Return copy-ready Markdown.

Default structure

markdown
# [Case study title]

## At a glance

| Field | Summary |
|---|---|
| Client type | [Anonymised descriptor] |
| Sector | [Sector if known] |
| Challenge | [One-sentence challenge] |
| Work delivered | [One-sentence intervention] |
| Outcome | [Evidence-backed outcome or "Outcome evidence not provided"] |

## Context

[What was happening and why it mattered.]

## The challenge

[The specific business, operating, adoption, governance, delivery, or technology problem.]

## What we did

[Practical work performed. Use bullets only where they improve clarity.]

## What changed

[Evidence-backed outcomes, capability shifts, decisions enabled, delivery improvements, or learning generated.]

## Why it mattered

[Business relevance and wider lesson.]

## Reusable insight

[The portable lesson other organisations can learn from this case.]

## Evidence gaps

- [Only include if relevant.]

Style guidance

  • Write in a human, experienced, consultancy-literate voice.
  • Avoid exaggerated sales language.
  • Avoid implying certainty where the source only suggests possibility.
  • Make the piece useful even if formal metrics are unavailable.
  • Keep paragraphs short enough for web reading.

References

This skill includes supporting reference material. Read the relevant reference file when the task needs additional structure, rubric detail, examples, or checklist support.

  • references/anonymisation-checklist.md - use this when additional structure, examples, or checks are useful for the task.

Quality checklist

Before responding, check:

  • No client-confidential detail has leaked.
  • Every outcome is backed by supplied evidence.
  • The case study has a clear before / intervention / after shape.
  • The writing is credible and not generic.
  • Evidence gaps are visible rather than hidden.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Anonymised Case Study Writer AI skill do?

Use this skill when the user asks to create, improve, anonymise, structure, or publish a client case study, success story, engagement summary, or transformation story.

Why use Anonymised Case Study Writer on TypingMind?

Because you install it once and use it with any model. Anonymised Case Study Writer is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Anonymised Case Study Writer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/microsoft/cat-agent-skills/tree/main/submissions/anonymised-case-study-writer. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Anonymised Case Study Writer?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Anonymised Case Study Writer?

As many as you like. As long as a model supports skills, you can use Anonymised Case Study Writer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Anonymised Case Study Writer AI skill free?

Yes. It is published on GitHub by microsoft under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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