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Agent skill

case-study-builder

Turns client wins into structured case studies in multiple formats.

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From ekatasingh1107/b2b-gtm-skills · 99 skills · 2 · pushed 2026-04-11

What it does when it runs

Turns client wins into structured case studies in multiple formats. Gathers before/after metrics, structures as Problem-Solution-Results, and outputs landing page copy, one-pager, social snippets, and email insert.

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git clone --depth 1 --filter=blob:none --sparse https://github.com/ekatasingh1107/b2b-gtm-skills.git /tmp/b2b-gtm-skills
git -C /tmp/b2b-gtm-skills sparse-checkout set "skills/composites/case-study-builder"
mkdir -p ~/.claude/skills/case-study-builder
cp -R "/tmp/b2b-gtm-skills/skills/composites/case-study-builder/." ~/.claude/skills/case-study-builder/

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The folder is the same in every client that implements the format — 46 of them — so if yours is not above, only the destination changes.

Reproduced in full from ekatasingh1107/b2b-gtm-skills/blob/eae8dd0bb98da1c8e84abd297066a87015dd860f/skills/composites/case-study-builder/SKILL.md, which is licensed MIT (repository). 1,474 words, 23 headings.

Case Study Builder

Transforms raw client results data into polished, structured case studies. Follows the Problem-Solution-Results framework, pulls real metrics, and generates multiple output formats: full landing page copy, one-pager for sales collateral, social media snippets, and email-embeddable summaries.

Prerequisites

  • agency.config.json populated (services, brand voice)
  • Client results data (metrics, timeline, deliverables) -- from CRM, QBR, or user input
  • Client name and permission to use as a case study
  • Optional: brand-voice capability output for tone consistency

Capabilities Used

  1. crm-writer -- pull client engagement history, deliverables, and metrics
  2. company-researcher -- refresh company context for the case study narrative
  3. email-copywriter -- generate email-embeddable case study snippet
  4. carousel-creator -- generate social media carousel content
  5. landing-page-copy -- generate full landing page case study
  6. brand-voice -- ensure tone consistency across formats

Phase 0: Intake

Read agency.config.json:

  • services[] -- map client work to service categories
  • case_studies[] -- check if this client already has an entry (update vs create)
  • agency.name, agency.domain -- for attribution
  • brand_voice -- tone and style guidelines

Accept parameters:

  • client_name -- (required) the client featured in the case study
  • project_type -- which service(s) the case study covers
  • time_period -- when the work was done (e.g., "Jan-Mar 2026")
  • data_source -- crm | qbr | manual. Default: manual
  • formats -- array of desired outputs. Default: ["landing_page", "one_pager", "social", "email"]
  • anonymize -- boolean, use "Industry Leader" instead of client name. Default: false
  • approval_required -- boolean, flag for client approval before publishing. Default: true

Phase 1: Data Gathering

From CRM (if data_source = crm)

Pull from CRM tabs:

  • Deliverables completed during time_period
  • Metrics tracked (before and after)
  • Meeting notes mentioning results or feedback
  • Client testimonial quotes (if captured)

From QBR (if data_source = qbr)

Reference most recent qbr-builder output:

  • Wins section
  • Key metrics with quarter-over-quarter changes
  • Deliverables completed
  • Client feedback captured during QBR

Manual Input (if data_source = manual)

Prompt for structured input:

CLIENT RESULTS INPUT
---
1. Company name and industry:
2. Their situation BEFORE you started (pain points, metrics):
3. What you did (services, deliverables, timeline):
4. Results AFTER (metrics, improvements, outcomes):
5. Client quote (if available):
6. Any unexpected wins or learnings:
7. Timeline (start to results):

Supplementary Research

Run company-researcher (quick) for:

  • Company description and industry context
  • Company size and market position
  • Their website URL and social profiles (for linking)

Phase 2: Narrative Structuring

Organize data into the Problem-Solution-Results (PSR) framework:

The Problem

  • Situation: What was the client's business context?
  • Pain: What specific challenge were they facing?
  • Stakes: What would happen if the problem wasn't solved?
  • Previous attempts: Had they tried other solutions?

Write 2-3 paragraphs that make the reader think "that sounds like my problem."

The Solution

  • Approach: How did you diagnose and plan the solution?
  • What was done: Specific deliverables, not vague descriptions
  • How it was done: Methodology, tools, process (shows expertise)
  • Timeline: How long from kickoff to results
  • Collaboration: How did you work with the client's team?

Write 2-3 paragraphs focused on the "how" -- this builds trust and differentiates from generic claims.

The Results

  • Primary metric: The headline number (e.g., "+18% conversion rate")
  • Secondary metrics: Supporting numbers (traffic, AOV, revenue, speed)
  • Qualitative outcomes: Client satisfaction, team efficiency, confidence
  • Unexpected wins: Bonus outcomes they didn't plan for
  • Ongoing impact: Is the improvement sustained?

Present as:

RESULTS SNAPSHOT
---
Headline metric: [+X% improvement in Y]
Supporting metrics:
  - [Metric 1]: [before] -> [after] ([change])
  - [Metric 2]: [before] -> [after] ([change])
  - [Metric 3]: [before] -> [after] ([change])
Timeline: [X weeks/months from start to results]

The Testimonial

If a client quote is available, place it prominently. If not, note it as a gap to fill:

  • "TODO: Request testimonial quote from [contact name]"

Phase 3: Format Generation

Format 1: Landing Page Copy

Full-length case study for website (800-1200 words):

LANDING PAGE CASE STUDY
===

HEADLINE: How [Client/Industry] Achieved [Headline Result] with [Service]
SUBHEADLINE: [One sentence expanding on the result with timeline]

HERO SECTION:
- Client logo (placeholder)
- Headline metric in large text
- Industry tag, service tag

CLIENT SNAPSHOT:
| Industry | [vertical] |
| Company Size | [employees/revenue tier] |
| Platform | [Shopify, etc.] |
| Services Used | [list] |
| Timeline | [duration] |

THE CHALLENGE:
[2-3 paragraphs from Phase 2 Problem section]

THE APPROACH:
[2-3 paragraphs from Phase 2 Solution section]
[Include a visual process/timeline element]

THE RESULTS:
[Metrics grid with before/after comparison]
[Pull quote from client if available]

KEY TAKEAWAYS:
1. [Insight applicable to similar companies]
2. [Insight about the approach]
3. [Insight about the results]

CTA:
"Facing similar challenges? Let's talk about your [service area]."
[Calendar link / contact form reference]

Format 2: One-Pager (Sales Collateral)

Single-page PDF-ready format (300-400 words):

ONE-PAGER
===

[Agency Logo]                     [Client Logo]

CASE STUDY: [Client Name]
[Headline: How [Client] achieved [result]]

THE CHALLENGE:
[2-3 sentences]

WHAT WE DID:
- [Deliverable 1]
- [Deliverable 2]
- [Deliverable 3]

RESULTS:
+-------------------+-------------------+
| [Metric 1]        | [Metric 2]        |
| [BIG NUMBER]      | [BIG NUMBER]      |
| [context]         | [context]         |
+-------------------+-------------------+
| [Metric 3]        | [Metric 4]        |
| [BIG NUMBER]      | [BIG NUMBER]      |
| [context]         | [context]         |
+-------------------+-------------------+

"[Client quote]" -- [Name, Title]

Timeline: [duration] | Services: [list] | Industry: [vertical]

[Agency name] | [domain] | [CTA]

Format 3: Social Snippets

LinkedIn post, Twitter/X thread, and Instagram caption:

LinkedIn Post (1200-1500 characters):

[Hook line with the headline metric]

[Client] came to us with [problem in 1 sentence].

Here's what we did:
1. [Step 1]
2. [Step 2]
3. [Step 3]

The results:
[Metric 1]: [before] -> [after]
[Metric 2]: [before] -> [after]
[Metric 3]: [before] -> [after]

[Key insight or lesson learned]

[CTA: link to full case study or "DM me if you're facing similar challenges"]

#[relevant] #[hashtags]

Twitter/X Thread (3-5 tweets):

Tweet 1: [Hook with headline metric]
Tweet 2: The problem: [2 sentences]
Tweet 3: What we did: [2-3 bullet points]
Tweet 4: Results: [metrics]
Tweet 5: [Key lesson + CTA]

Instagram Caption (for carousel post):

[Hook] + [Short narrative] + [Results] + [CTA]
Carousel slides: [slide-by-slide content for carousel-creator]

Format 4: Email Insert

Short case study block for outreach emails (80-120 words):

EMAIL INSERT
===

Subject line reference: "How [Client] got [result] in [timeline]"

Body insert:
"Quick example: [Client], a [industry] brand, was struggling with [1-sentence problem]. We [1-sentence solution]. In [timeline], they saw [headline metric] and [secondary metric]. [Link to full case study]"

Phase 4: Quality Check

Before output, verify:

  • All metrics have "before" and "after" values
  • Timeline is specific (not "a few months")
  • Client name used correctly (or anonymized if anonymize = true)
  • No confidential data exposed (revenue figures, unless approved)
  • CTA links reference agency domain from config
  • Tone matches brand_voice settings
  • No superlatives without data backing ("best", "leading", "top")
  • Each format stands alone (doesn't require reading another format)

Phase 5: Output

Return structured JSON:

{
  "client_name": "Kibi Sports",
  "anonymized": false,
  "project_type": "Conversion Rate Optimization",
  "time_period": "Jan-Mar 2026",
  "headline_metric": "+18% conversion rate",
  "results_summary": {
    "primary": {"metric": "Conversion Rate", "before": "2.4%", "after": "2.8%", "change": "+18%"},
    "secondary": [
      {"metric": "Page Load Speed", "before": "4.2s", "after": "2.1s", "change": "-50%"},
      {"metric": "Revenue", "before": "INR 25,40,000/mo", "after": "INR 31,00,000/mo", "change": "+22%"},
      {"metric": "Bounce Rate", "before": "50%", "after": "42%", "change": "-16%"}
    ],
    "timeline": "12 weeks"
  },
  "formats": {
    "landing_page": "[full markdown content]",
    "one_pager": "[formatted content]",
    "social": {
      "linkedin": "[post content]",
      "twitter_thread": ["tweet1", "tweet2", "tweet3", "tweet4"],
      "instagram": "[caption + carousel outline]"
    },
    "email_insert": "[short block]"
  },
  "testimonial": {
    "quote": "They transformed our product pages. The numbers speak for themselves.",
    "attribution": "Amit K., Founder",
    "status": "approved"
  },
  "approval_status": "pending_client_approval",
  "generated_at": "2026-03-07T10:00:00Z"
}

Phase 6: Review and Distribution

Present all formats for review.

APPROVAL GATE: "Case study ready in [N] formats. Review each before publishing?"

Post-approval actions:

  • Update agency.config.json case_studies[] array with the new entry
  • Flag for website publishing (landing page format)
  • Queue social posts (if nurture-sequence or social calendar exists)
  • Make email insert available to cold-email-drafter and outreach-draft-pipeline

Example Usage

Trigger phrases:

  • "Build a case study from the Kibi Sports results"
  • "Turn last quarter's results for [client] into a case study"
  • "I need a case study for the website, use [client] data"
  • "Create social proof content from [client] metrics"
  • "Generate a one-pager case study for [client]"
  • "Case study time -- here are the numbers: [paste metrics]"

Files bundled with it

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Other skills for the same job

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