case-study-factory

What This Skill Does

The case-study-factory is a specialized OpenClaw skill designed to transform raw project documentation and scattered project notes into polished, professional case study narratives. It follows a structured workflow that extracts key project pillars: initial challenges, strategic actions, tangible results, and replicable insights. By standardizing project narratives, it enables teams to document their successes consistently without the overhead of manual formatting or brainstorming structure.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/52yuanchangxing/case-study-factory

Use Cases

• Project Recap: Convert technical meeting notes into a concise, readable summary for internal stakeholders.
• Marketing Collateral: Transform successful project outcomes into high-quality case studies for public-facing websites or client reports.
• Knowledge Management: Standardize documentation across teams by distilling complex project histories into replicable methodologies and "lessons learned" databases.
• Portfolio Building: Help freelancers or agencies organize their project history to highlight specific expertise and results.

Example Prompts

1. "Here are my notes from the Q3 infrastructure migration project. Please use the case-study-factory to extract the key actions, the efficiency gains, and draft a structured case study suitable for our internal newsletter."
2. "I have attached the performance report for Project Alpha. Can you draft a case study that emphasizes our strategic approach, the specific KPIs we improved, and the long-term replicable value for future clients?"
3. "Analyze the attached raw logs and project summary for the client onboarding initiative, then propose a structure for a public case study while flagging any sensitive client data that needs to be anonymized."

Tips & Limitations

• Transparency: Always provide clear, factual project data. The skill is designed to synthesize facts, not to invent testimonials or fabricate results.
• Privacy: The skill includes mandatory safeguards for sensitive data. If your input contains proprietary information, explicitly instruct the model to anonymize names and specific financial figures.
• Human-in-the-Loop: The output is intended to be a 'reviewable draft.' Always verify the final content against official project records before public publication.
• Template Adherence: If you have a specific company tone or formatting preference, ensure the local resources/template.md is updated to align with your organization's visual and linguistic identity.