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Case Study Plan

Community
indranilbanerjee
case-study-plan

Plan a case study: narrative, interview questions, formats. "turn this client win into a case study"

Overview

Publisherindranilbanerjee
Repositorydigital-marketing-pro
Skill namecase-study-plan
Stars
866
Forks
138
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Case Study Plan 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/indranilbanerjee/digital-marketing-pro/tree/main/skills/case-study-plan
  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/indranilbanerjee/digital-marketing-pro.git /tmp/digital-marketing-pro
mkdir -p .claude/skills
cp -r /tmp/digital-marketing-pro/skills/case-study-plan .claude/skills/case-study-plan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Case Study Plan 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 Case Study Plan 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 Case Study Plan 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.

/digital-marketing-pro:case-study-plan

Purpose

Generate a structured case study creation plan with interview framework, data visualization approach, format variations, and distribution strategy. Produces a complete blueprint for building compelling proof-of-results content that drives sales enablement and builds credibility.

Input Required

The user must provide (or will be prompted for):

  • Client or project to feature: The specific client engagement, campaign, or project that will be showcased
  • Challenge or problem addressed: The business problem, market pressure, or growth obstacle the client was facing before the engagement
  • Solution implemented: The services, campaigns, strategies, or tools deployed to address the challenge
  • Results achieved: Quantitative outcomes (revenue lift, traffic growth, conversion improvement, cost reduction) and qualitative outcomes (brand perception, team capability, process improvement)
  • Timeline of engagement: Duration of the project or campaign — start date, key milestones, and current status
  • Permission status: Whether the client has approved public use of their name, data, and story — or if anonymization is required
  • Target audience for the case study: Who will read or watch it — prospects in the same industry, C-suite decision-makers, marketing managers, procurement teams, or general audience
  • Desired formats: Which output formats are needed — PDF white paper, website page, presentation deck, video testimonial, social media snippets, or sales one-pager
  • Industry vertical: The client's industry for contextual benchmarking and relevance targeting
  • Competitive context: What alternatives the client considered and why they chose this approach

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/digital-marketing-pro:brand-setup)?" — or proceed with defaults.
  2. Structure the CSR narrative: Build the Challenge-Solution-Results framework with sub-sections — situation overview, specific pain points, goals at project start, strategic approach, tactical execution, implementation timeline, quantitative results, qualitative impact, and future outlook. Identify the emotional arc that makes the story compelling, not just informative.
  3. Develop client interview questions: Create 15-20 interview questions organized by section — background and context (company size, industry pressures, previous attempts), challenge deep-dive (symptoms, root causes, business impact of inaction), solution experience (selection criteria, onboarding, collaboration quality), results and impact (measurable outcomes, unexpected benefits, team reaction), and forward-looking (ongoing plans, what they would tell peers).
  4. Plan internal team interview questions: Draft 10 questions for internal team members who worked on the engagement — strategic rationale, technical approach, challenges encountered during delivery, key turning points, and lessons learned that could inform future engagements.
  5. Identify data points and visualizations needed: Map every quantitative result to a visualization type — before/after bar charts, timeline growth curves, funnel improvement diagrams, ROI waterfall charts, and comparison tables. Specify which data needs to be collected, verified, and approved by the client before publication.
  6. Design format variations: Create specifications for each requested output format — PDF white paper (4-6 pages, designed layout with pull quotes and charts), web page (SEO-optimized with structured data markup), presentation deck (8-12 slides for sales meetings), video testimonial script (2-3 minute interview-based script outline), social media snippets (pull quotes, stat cards, carousel posts), and sales one-pager (front-and-back summary for leave-behinds).
  7. Create distribution strategy: Plan where and how the case study will be published and promoted — website case study library, sales enablement materials, email nurture sequences, social media campaigns, PR outreach, paid promotion, conference presentations, and partner co-marketing opportunities.
  8. Build approval workflow and permission checklist: Define the full approval process — internal review (legal, marketing, account team), client review (point of contact, legal, executive sign-off), data accuracy verification, quote approval, logo and brand usage permission, and timeline for each review stage.
  9. Write draft executive summary: Compose a 150-200 word executive summary that captures the full story arc — who the client is, what they faced, what was done, and what resulted. This summary serves as the foundation for all format variations and distribution copy.
  10. Plan visual assets needed: Specify all visual elements required — client logo (with usage permissions), data visualization charts, photography (team photos, office shots, product images), branded design templates, infographic elements, pull quote cards, and video b-roll if applicable.

Output

A structured case study creation plan containing:

  • CSR narrative framework — Challenge-Solution-Results structure with detailed sub-sections, emotional arc mapping, and story flow outline
  • Client interview question set — 15-20 questions organized by narrative section (background, challenge, solution, results, forward-looking) with follow-up prompts
  • Internal team interview questions — 10 questions covering strategic rationale, delivery experience, turning points, and retrospective insights
  • Data visualization plan — which metrics to highlight, chart types for each data point, before/after comparison designs, and data collection requirements
  • Format variation specifications — PDF (4-6 pages with layout notes), web page (SEO-optimized with schema markup), slides (8-12 with speaker notes), video (2-3 min script outline), social (pull quotes and stat cards), and one-pager (front-and-back layout)
  • Distribution strategy — publication channels (website, sales tools, social, email, PR), promotion plan, and audience targeting per channel
  • Permission and approval checklist — legal review, client sign-off stages, data verification steps, quote approval, logo usage, and review timeline
  • Executive summary draft — 150-200 word overview capturing the complete story arc for use across all formats
  • Visual asset list — photography needs, chart specifications, infographic elements, pull quote card designs, and video b-roll requirements
  • SEO metadata — optimized title tag, meta description, target keywords, and structured data recommendations for the web version
  • Sales enablement notes — where the case study fits in the sales funnel, which buyer objections it addresses, and how sales teams should use each format
  • Content repurposing plan — how to extract derivative content pieces (blog posts, social proof snippets, email testimonials, presentation slides) from the core case study

Agents Used

  • content-creator — Narrative structure, interview question development, executive summary drafting, format variation planning, visual asset specification, and content repurposing strategy
  • pr-outreach — Distribution strategy, PR angle identification, media pitch framework, partner co-marketing opportunities, and external publication targeting

Frequently asked questions

What does the Case Study Plan AI skill do?

Plan a case study: narrative, interview questions, formats. "turn this client win into a case study"

Why use Case Study Plan on TypingMind?

Because you install it once and use it with any model. Case Study Plan 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 Case Study Plan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/indranilbanerjee/digital-marketing-pro/tree/main/skills/case-study-plan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Case Study Plan?

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 Case Study Plan?

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

Is the Case Study Plan AI skill free?

Yes. It is published on GitHub by indranilbanerjee 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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