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SKILL verified MIT Self-run

Demo Storyline

skill-adam-lagerhausen-b2b-marketing-skills-demo-storyline · by adam-lagerhausen

Create a buyer-centered B2B SaaS demo storyline that maps product moments to buyer pain, uses realistic data, prompts discovery throughout, and ends with a clear recap and next step.

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Install

$ agentstack add skill-adam-lagerhausen-b2b-marketing-skills-demo-storyline

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Demo Storyline

When to use

Use this skill when you need to plan a live or recorded B2B SaaS demo that advances a sales conversation.

Best fit for:

  • First-call product demos
  • Discovery-led demos after an initial qualification conversation
  • Founder-led demos that need to become repeatable
  • AE or SE demo talk tracks
  • Custom interactive demos for a target segment or account
  • Demo sections inside sales narrative decks
  • Demo prep for vertical, persona, or use-case-specific sales motions

Do not use this skill to create a feature tour, product training script, help documentation, or generic click path. A strong demo should map to buyer pain, not inventory the product.

Inputs

Ask for or infer as much of the following as possible:

  • Target audience: buyer, practitioner, economic buyer, technical evaluator, industry, company size
  • Buyer pain: what is broken, slow, expensive, risky, confusing, or newly urgent
  • Current workflow: spreadsheets, legacy tools, manual process, services, internal workaround, competitor
  • Desired outcome: what the buyer wants to improve, avoid, prove, or make easier
  • Product area: the specific workflow, capability, or use case to demo
  • Sales stage: first call, deep discovery, technical validation, executive demo, renewal, expansion
  • Qualification goal: what the rep needs to learn or confirm during the demo
  • Demo environment: available screens, data, integrations, personas, records, and constraints
  • Realistic data: company names, user roles, customer records, pipeline values, dates, tasks, metrics, statuses
  • Proof: customer story, metric, quote, benchmark, or before/after result
  • Objections or likely confusion: implementation, integrations, data quality, security, adoption, ROI, differentiation
  • Next step: stakeholder meeting, pilot, mutual action plan, technical validation, business case, proposal

If inputs are thin, produce a useful draft with explicit assumptions and gaps. Never fill the demo with generic placeholders like "Item 1," "Customer A," or "Task 2" when realistic examples can be invented or requested.

Demo storyline workflow

  1. Anchor the demo in buyer pain.
  • Start with what the buyer is trying to fix, not what the product can do.
  • Name the current workflow and why it fails.
  • Define the outcome the demo should prove.
  1. Tell them what you are going to show.
  • Preview the scenario in plain English.
  • Explain the roles, data, and workflow they will see.
  • Set expectations: "I will show three moments, then we will pause and decide if this maps to your process."
  1. Get to product early.
  • Use only enough setup to make the demo relevant.
  • Move into the product before the conversation becomes a lecture.
  • Keep slides or context brief unless the buyer needs framing.
  1. Show one coherent workflow.
  • Build the demo around a realistic buyer scenario.
  • Show the before/after change in how work gets done.
  • Use specific data: names, accounts, dollar values, dates, segments, statuses, exceptions, owners.
  • Avoid showing every feature, setting, admin page, and edge case.
  1. Pause after key steps.
  • Demos are hard to follow; slow down after important moments.
  • Confirm the audience follows before moving on.
  • If people look confused, stop and clarify instead of clicking faster.
  • Zoom in where needed: data, workflow step, decision logic, output, or business impact.
  1. Ask discovery questions throughout.
  • Use each product moment to learn something about the buyer's process.
  • Treat conversation as a win, not an interruption.
  • If the buyer opens up, follow the thread before returning to the script.
  1. Tell them what they saw.
  • Recap the workflow in terms of pain, value, proof, and next step.
  • Use a recap slide or summary section at the end.
  • Connect the product moment back to the original business problem.

Demo script structure

Return the demo as a practical script a rep or founder could use live.

Include:

  • Demo objective
  • Target audience and assumed pain
  • Qualification goal
  • Scenario setup
  • Realistic demo data
  • Opening talk track: tell them what they are going to see
  • Step-by-step demo flow, with each step containing:
  • Product moment
  • Buyer pain it maps to
  • What to say
  • What to click or show
  • Discovery question
  • Pause/checkpoint question
  • Likely confusion or objection
  • How to address it
  • Recap slide or recap talk track
  • Qualification signals
  • Recommended next step
  • Assumptions and missing proof

Discovery questions

Use discovery questions at every major step. Good demo questions uncover fit, urgency, process, value, and buying path.

Examples:

  • "How does your team handle this today?"
  • "Where does this usually break down?"
  • "Who owns this workflow when something goes wrong?"
  • "What happens if this step is delayed or missed?"
  • "Which system is the source of truth today?"
  • "What data would your team need to trust this recommendation?"
  • "Who needs to approve this before it becomes the standard process?"
  • "What would make this valuable enough to prioritize this quarter?"
  • "Where would you want human review versus automation?"
  • "Is this close to how your team works, or would your process look different?"

Qualification signals

Listen for signals that the demo is creating a real sales conversation.

Strong positive signals:

  • Buyer describes their current process in detail
  • Buyer corrects the demo scenario to match their real workflow
  • Buyer names a cost, risk, delay, or missed revenue impact
  • Buyer asks how this would work with their data, systems, roles, or approval process
  • Buyer brings up other stakeholders who need to see it
  • Buyer asks about implementation, pilot scope, pricing, security, or timeline
  • Buyer compares the product against a real status quo or competitor
  • Buyer says the demo reflects a current initiative or executive priority

Weak or negative signals:

  • Buyer only asks generic feature questions
  • Buyer cannot name who owns the problem
  • Buyer says the current workaround is good enough
  • Buyer engages with the category but not the workflow
  • Buyer wants a recording but no next conversation
  • Buyer is curious but has no pain, urgency, authority, or project

Use qualification signals to shape the recap and next step. A custom interactive demo can also reduce unqualified tire-kicker leads by making the buyer engage with a concrete workflow before sales spends more time; Reevo used this kind of custom interactive demo motion to reduce unqualified tire-kicker leads by 50%, improving sales efficiency and pipeline quality.

Recap output

End every demo with a recap slide or spoken recap.

Default recap structure:

  1. Pain confirmed
  • "You are trying to reduce [specific pain] caused by [current workflow/status quo]."
  1. What the demo showed
  • "We showed how [product] helps [persona] move from [old way] to [new way]."
  1. Value
  • "The practical value is [time saved, risk reduced, revenue protected, quality improved, visibility created]."
  1. Open questions
  • "We still need to validate [integration, data, stakeholder, security, workflow variation, ROI]."
  1. Recommended next step
  • "The right next step is [pilot scoping, stakeholder demo, technical validation, business case, proposal]."

Quality bar

The demo storyline is good when:

  • The demo starts with buyer pain and current workflow, not product features.
  • The product appears early enough to create belief.
  • The scenario is specific enough to feel real.
  • Every step maps to a buyer pain, outcome, or qualification goal.
  • The demo uses realistic data instead of generic placeholders.
  • The talk track follows: tell them what you will show, show them, tell them what they saw.
  • The rep pauses after key steps and checks whether the audience follows.
  • Discovery questions are embedded throughout the demo, not saved for the end.
  • The script gives the rep permission to stop, clarify, and follow buyer conversation.
  • The ending recap ties the demo back to pain, value, proof, and next step.
  • The demo would help qualify the account, not just impress the audience.

Anti-patterns

Avoid:

  • Feature tours with no buyer pain
  • Long company or category lectures before showing product
  • Generic demo data like "Item 1," "Acme," "Test User," or "Task 2"
  • Showing every feature because it exists
  • Moving too fast because the rep knows the product well
  • Treating buyer questions as interruptions
  • Ignoring confused faces or vague silence
  • Demoing edge cases before proving the main workflow
  • Over-automating the story when the buyer needs trust and control
  • Ending with "Any questions?" instead of a recap and concrete next step
  • Claiming proof that is not available

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.