anonymised-case-study-writer
Skill95 starsChanged 6 days agoMITView on GitHub
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.
We split this skill into the rules it gives an agent
16 rules. About 0 are common, 16 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈16
Distinctive · estimate
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 8
Use this skill to create credible, anonymised case studies from engagement notes, interview notes, project summaries, outcomes, or source …
- Distinctive: line 12
Protect confidentiality: Remove or generalise names, client identifiers, locations, internal programme names, system names, and …
- Distinctive: line 13
Do not invent outcomes: Only include outcomes, metrics, timelines, and benefits that appear in the source material or are supplied by the …
- Distinctive: line 14
Preserve credibility: Prefer specific operational detail over vague marketing claims, while keeping the client anonymised.
- Distinctive: line 16
Separate unknowns: If outcomes or proof points are missing, include a short "Evidence gaps" section rather than fabricating.
- Distinctive: line 20
Use neutral descriptors such as:
- Distinctive: line 28
Only describe sector, scale, geography, and technology where the source material supports it and doing so does not identify the client.
- Distinctive: line 32
Read all supplied source material.
- Distinctive: line 36
Check every claim against the source material.
- Distinctive: line 37
Add evidence gaps or suggested follow-up questions only where needed.
- Distinctive: line 86
Write in a human, experienced, consultancy-literate voice.
- Distinctive: line 87
Avoid exaggerated sales language.
- Distinctive: line 88
Avoid implying certainty where the source only suggests possibility.
- Distinctive: line 90
Keep paragraphs short enough for web reading.
- Distinctive: line 103
No client-confidential detail has leaked.
- Distinctive: line 104
Every outcome is backed by supplied evidence.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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
- 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.
- Do not invent outcomes. Only include outcomes, metrics, timelines, and benefits that appear in the source material or are supplied by the user.
- Preserve credibility. Prefer specific operational detail over vague marketing claims, while keeping the client anonymised.
- Make the story reusable. Structure the case study so it can be used in proposals, webpages, thought leadership, sales conversations, and internal learning.
- 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
- Read all supplied source material.
- Extract the engagement context, problem, constraints, intervention, outcomes, and lessons.
- Identify any confidential or identifying details and replace them with safe descriptors.
- Draft the case study using the structure below.
- Check every claim against the source material.
- Add evidence gaps or suggested follow-up questions only where needed.
- Return copy-ready Markdown.
Default structure
# [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.
In this repository199 other files it gives its agents.
- .github/copilot-instructions.mdCopilot instructions
- accessibility-passSkill
- acroform-writerSkill
- action-items-todoSkill
- agent-evaluation-designerSkill
- agent-harness-explorerSkill
- agent-performance-triageSkill
- agent-red-teamSkill
- ai-demo-assistantSkill
- ai-first-process-redesignSkill
- ai-usecase-assessmentSkill
- evidence-gatherSkill
- gap-checkSkill
- readiness-packSkill
- scope-mapSkill
- b2b-outreach-suiteSkill
- blog-content-auditorSkill
- blog-post-structure-passSkill
- booth-loop-videoSkill
- brand-template-enforcerSkill
- brand-voice-passSkill
- breathing-roomSkill
- browser-uat-analystSkill
- business-osSkill
- call-for-speakers-digestSkill
- campaign-deck-builderSkill
- chart-builderSkill
- classic-text-adventureSkill
- clipchamp-videoSkill
- clt-hr-assistantSkill
- commenting-contentSkill
- competitive-battlecard-builderSkill
- conditional-chat-reminderSkill
- conference-session-abstract-packSkill
- contradiction-flagSkill
- insight-briefSkill
- provenance-checkSkill
- research-retrieveSkill
- trend-compareSkill
- content-quality-auditorSkill
- copilot-agent-advisorSkill
- copilot-studio-adaptive-card-builderSkill
- copilot-studio-agent-testSkill
- copilot-studio-harness-pickerSkill
- copilot-studio-knowledge-readinessSkill
- copilot-studio-mcp-readinessSkill
- copilot-studio-topic-blueprintSkill
- cowork-plugin-engineerSkill
- cowork-use-case-one-pagerSkill
- create-copilot-adoption-dashboardSkill
- context-assembleSkill
- handoff-packetSkill
- inquiry-intakeSkill
- knowledge-retrieveSkill
- resolution-draftSkill
- doc-format-converterSkill
- bom-impactSkill
- ecn-draftSkill
- ecr-ingestSkill
- standards-checkSkill
- The first 60 shown.
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.

