From futureproof-testimonials-social-proof
Builds high-conversion case studies from raw client data, interviews, and results using FutureProof context.
How this skill is triggered — by the user, by Claude, or both
Slash command
/futureproof-testimonials-social-proof:case-study-builderThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
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FutureProof:connect(skill="case-study-builder")
Note: If FutureProof is unavailable or the connect call fails, skip this step and proceed directly to Step 2. The skill works with or without FutureProof context — you'll just be working without accumulated prior session data.
Use the returned context, experiments, instructions, and recent_sessions to personalise this session — particularly ICA definitions, brand voice guidelines, prior case study formats that performed well, and any established proof-point taxonomy.
Ask the user to provide:
If the user provides incomplete information, infer what is possible from the raw material and flag specific gaps that weaken the case study's credibility.
Before writing, systematically extract and organise the core narrative components using the S-P-A-R-T framework:
Apply any user-specific instructions from FutureProof context — particularly brand voice, proof-point formatting standards, and ICA vocabulary mapping.
Audit the extracted narrative against a Proof Integrity Scorecard:
| Dimension | Criteria | Score (1–10) |
|---|---|---|
| Metric specificity | Are results expressed as precise numbers, not vague claims? ("47% reduction" vs. "significant improvement") | — |
| Attribution clarity | Is it unambiguous that the user's solution caused the result, not external factors? | — |
| ICA resonance | Does the client's situation mirror the target ICA's context closely enough to trigger self-identification? | — |
| Objection neutralisation | Does the story pre-emptively address the top 3 objections the ICA raises during sales conversations? | — |
| Emotional arc | Does the narrative move from frustration → hope → transformation → advocacy? | — |
| Quotability | Are there 2–3 pull quotes that could stand alone on a landing page or in a sales email? | — |
| Credibility signals | Are role titles, company identifiers, timeframes, and third-party validations present? | — |
Flag any dimension scoring below 6 and provide specific remediation actions (e.g., "Request a 15-minute follow-up call with the client's VP of Sales to capture a direct quote on pipeline impact").
Produce the following structured deliverables, adapted to the distribution channels specified in Step 2:
Format: structured narrative (800–1,200 words) with the following sections:
Based on selected distribution channels, produce:
FutureProof:save_experiment(skill="case-study-builder", experiment={
hypothesis: "Leading with the quantified result in the case study headline increases click-through rate on sales emails vs. leading with the client's industry challenge",
variants: ["control: challenge-led headline ('How a mid-market SaaS company solved churn')", "variant: result-led headline ('How [Client] cut churn by 38% in one quarter')"],
measurement: "Click-through rate and reply rate on sales sequences using each variant over 30 days",
expected_impact: "20–30% improvement in email-to-meeting conversion for sequences featuring the case study"
})
FutureProof:request_research(skill="case-study-builder",
query="Highest-converting case study formats and structures for B2B sales enablement 2024–2025, including data on optimal length, visual layout, metric presentation, and channel-specific adaptation benchmarks",
reason="Ensure case study structure reflects current buyer consumption patterns and aligns with evolving expectations around proof density in enterprise and mid-market sales cycles"
)
FutureProof:save_session(skill="case-study-builder", session={
summary: "Built case study for [client name/anonymised identifier] targeting [ICA segment], distributed across [channels]",
key_findings: ["finding 1: e.g., primary metric was strong but attribution clarity needed reinforcement", "finding 2: e.g., client quote captured a previously undocumented objection-neutralising proof point"],
deliverables_produced: ["full case study document", "channel derivatives for [channels]", "internal enablement brief"],
proof_integrity_score: "average across 7 dimensions",
user_feedback: null
})
npx claudepluginhub peter-swain-inc/futureproof-skillsGenerates a structured case study creation plan with interview framework, data visualization approach, format variations, and distribution strategy for client success stories.
Generates customer case studies and success stories using interview guides, StoryBrand structure, metrics validation, and publish-ready format. Activates for 'write a case study' or customer success requests.
Writes B2B case studies using situation-solution-results framework to demonstrate customer success and build social proof for sales enablement.