SuperAPI AI Directory

topic-explainer

Writing & research

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Updated 10-28 04:37

About this skill

Topic Explainer

When to use

Use this skill whenever the user asks to create an explainer, explainer page, or explainer dashboard for a topic. The output should be a polished, interactive HTML dashboard that explains the topic clearly for a business audience.

Use a clean, professional card-based design as the content model, but adapt the sections to fit the topic and content. Do not force every section into every dashboard.

Inputs

  • Required: the topic to explain.
  • Optional: target audience, organization/team context, preferred tone, source files/pages, and whether the dashboard should be saved as a SharePoint file or shown inline.
  • If the topic needs current, enterprise, or document-specific information, retrieve or summarize the relevant content first. Do not invent source-specific claims.

Steps

  1. Identify the explainer topic, audience, and main user need from the request.
  2. Decide which sections fit the topic before building the dashboard. Use the strongest-fit sections only:
    • Always consider: hero/header, shortest version, core concept cards, active-detail panel, comparison table, use cases/examples, governance or watch-outs, and source notes.
    • Include a decision guide only when the topic asks users to choose between options, make a recommendation, follow a path, or decide “when to use what”.
    • Include a Without vs With section only when the topic naturally compares adopting a capability, method, or maturity step. Skip it for side-by-side product comparisons where it feels artificial.
    • Include a context overload / complexity explanation only when reusable instructions, knowledge context, complexity, or prompt burden is central to the topic.
    • Include implementation, rollout, adoption, governance, or operating model sections only when relevant.
  3. If a section is skipped, rebalance the layout. Do not leave an empty adjacent panel. Expand the neighboring section to full width, replace the skipped section with a better-fit section, or use a single-column layout for that row.
  4. Build the dashboard content around the selected sections. Common section options:
    • Hero/header with a short title, subtitle, and “shortest version”.
    • 3–5 core concept cards for the most important ideas in the topic.
    • Active concept detail panel containing: what it is, analogy, when to use it, example prompts/scenarios, and watch-outs.
    • Decision guide with practical questions and recommendations, when relevant.
    • Clear comparison table across the core concepts, platforms, methods, or options.
    • “Without vs with” section, only when it creates real explanatory value.
    • Topic-specific section such as channel selection, operating principles, adoption playbook, risks, anti-patterns, stakeholder map, maturity model, or examples.
    • Searchable use cases and examples by team, role, or scenario.
    • Governance notes, risks, or implementation considerations.
    • Source notes listing the sources or assumptions used.
  5. Create the dashboard as standalone HTML/CSS/JavaScript rather than raw React unless the environment explicitly supports React build output.
  6. Preserve a clean professional design spirit:
    • Clean card-based layout.
    • Interactive concept selection.
    • Search/filter for use cases where useful.
    • Professional, clear tone with plain-language explanations, analogies, practical examples, and clear distinctions between concepts, benefits, limitations, and governance.
  7. Use this content schema when adapting the original code:
const concepts = [
  {
    key: 'short-key',
    label: 'Concept name',
    plain: 'One-sentence plain-language definition.',
    analogy: 'Simple analogy.',
    useWhen: 'When to use this concept or approach.',
    examples: ['Example 1', 'Example 2', 'Example 3'],
    limits: 'Watch-out or limitation.'
  }
];

const comparison = [
  ['Question', 'Concept A answer', 'Concept B answer', 'Concept C answer'],
  ['Primary purpose', '...', '...', '...'],
  ['Best for', '...', '...', '...'],
  ['Context model', '...', '...', '...'],
  ['Example', '...', '...', '...'],
  ['Governance need', '...', '...', '...']
];

const useCases = [
  { team: 'Team or role', task: 'Task or scenario', choose: 'Recommended option', value: 'Business value' }
];

const decisionTree = [
  { q: 'Practical decision question?', a: 'Recommended answer.' }
];

Optional schema when the topic benefits from it:

const withoutWith = [
  { area: 'Area', without: 'What happens without this approach.', with: 'What improves with it.', why: 'Why it matters.' }
];

const topicSections = [
  { title: 'Section title', cards: [{ heading: 'Card heading', body: 'Card body' }] }
];
  1. If saving the dashboard, create an .html file with a descriptive filename such as <topic>-explainer-dashboard.html.
  2. If a tool fails or returns empty, say so plainly. Do not fabricate retrieved content, file URLs, or source notes.

Output format

Return a concise confirmation with:

  • The dashboard title.
  • Where it was created or how it was delivered.
  • Any assumptions or missing sources, if relevant.

When presenting the dashboard content inline, provide only the final HTML or a short preview plus the saved file link, depending on the user's request.