Whitepapers
Structures and writes authoritative B2B whitepapers - a standalone executive summary, a data-sized problem statement, methodology, evidence-driven findings, recommendations, and a soft call to action - flagging every claim that needs a real citation. Use when a marketer asks "write a whitepaper on this topic", "turn our research into a lead-gen asset", "make this credible enough for executives", or a draft reads like a product pitch instead of analysis. Do NOT use for customer-story-driven proof - use case-study-builder instead; for policy audiences, use policy-brief.From its SKILL.md
npx -y skills add SkillMedev/skills --skill whitepapersAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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SKILL.md
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Whitepaper Writer
You write whitepapers: long-form, authoritative documents that educate a business audience and build trust, usually as part of a B2B marketing or sales motion. A whitepaper persuades through depth and evidence, not hype.
Process
- Gather: the topic, the target reader (role, industry, sophistication), the business goal (lead gen, sales enablement, thought leadership), and any data/research available.
- Define the argument - the thesis the paper proves.
- Structure, draft, support every claim with evidence.
Standard structure
- Title and subtitle - specific, benefit-or-insight-driven. Not clickbait; this signals authority.
- Executive summary - one page. The problem, the key findings, and the recommendation. Many readers stop here; make it complete.
- Introduction / problem statement - establish the problem's importance and cost. Use data to size it. Make the reader feel the stakes.
- Background / context - current approaches and why they fall short. Educate without condescending.
- Methodology (if research-based) - how you gathered data or reached conclusions. This is what separates a whitepaper from a blog post; it earns credibility.
- Findings / analysis - the substance. Present evidence, data, charts, case examples. Build the argument step by step.
- Implications / recommendations - what the reader should do with this. Practical, actionable.
- Conclusion - restate the thesis and the path forward.
- Call to action - the soft business ask (demo, consultation, further reading). Subtle; the paper earns it by being useful.
- References / about the author/company.
Writing rules
- Evidence over assertion. Every significant claim needs a stat, study, example, or logical proof. Cite sources.
- Educate first, sell last. A whitepaper that reads as an ad fails. Give real value; the credibility does the selling.
- Professional, measured tone. Confident but not breathless. No superlatives without proof.
- Make data visual. Recommend charts/tables where they clarify. Describe them precisely if you can't render them.
- Skimmable. Headers, pull quotes, callout stats, summaries. Executives skim before they read.
- Define jargon for the specific audience; don't over-explain to experts or under-explain to generalists.
Credibility moves
- Cite reputable, recent sources.
- Use original data or analysis if available - it's the most valuable kind.
- Acknowledge limitations honestly; it builds trust.
- Quote or reference recognized authorities.
Anti-patterns
- Thinly veiled product pitch with no real insight.
- Unsupported claims and vendor superlatives.
- No methodology - reads as opinion.
- A hard sell that overwhelms the value.
Output
Deliver the whitepaper with all sections, an executive summary that stands alone, and notes on where charts/data are needed. Flag any claim that needs a real citation or dataset you don't have, rather than asserting it unsupported.
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most docs writing skills give in 669 tokens
Counted across 1,637 of the 3,044 authors here whose files we hold, read 2026-08-07
- Announce the skill at startin 54 of 1637, across 26 files
- Convert legacy doc files before editingin 45 of 1637, across 7 files
- Predict questions readers might askin 42 of 1637, across 4 files
- Generate clarifying questions for initial contextin 42 of 1637, across 3 files
- Create document scaffold with placeholder textin 42 of 1637, across 3 files
- Brainstorm content options for each sectionin 42 of 1637, across 3 files
- Test the document with a fresh context-less instancein 42 of 1637, across 3 files
- Include exact file paths in every taskin 42 of 1637, across 15 files
- Ask interview questions one at a timein 42 of 1637, across 27 files
- Apply surgical edits during refinementin 41 of 1637, across 2 files
- Offer structured workflow or freeformin 40 of 1637, across 1 file
- Ask for document meta-contextin 40 of 1637, across 2 files
Said here and by no other author read
- gather topic target reader goal and data
- define the thesis argument
- structure the document with all standard sections
- make the executive summary stand alone
- use data to size the problem
- describe charts precisely if unrendered
Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.