One topic, three audiences: the skill takes a technical concept and breaks it down to the level of understanding of each audience, without simplifying the content into vagueness. For laypeople it produces an explanation with an everyday analogy, for advanced audiences an explanation with the underlying mechanism and its implications, for experts a summary with technical terminology and the limits of the concept.
\nThis is useful when the same thing needs to be explained several times: once briefly for the elevator pitch, once in more detail for the management briefing, once technically for the specialist team. Executives, consultants, and anyone who communicates AI or technology topics to different stakeholders save themselves the repeated work of reformulating the explanation each time.
\nThe limit: the skill does not invent facts to make an explanation seem more plausible. Where a simplification would compromise factual accuracy, this is named rather than concealed. Whether the chosen analogy actually lands with the specific audience cannot be guaranteed by the skill, that only becomes clear in the real conversation.
\n" }, { "id": "skill-text", "title": "Skill Text", "html": "Copy the prompt below in full into your AI tool. As a file: verstaendnis-raster.en.json
\n" } ], "schritte": [ { "nr": 1, "titel": "Provide the topic and audience", "beschreibung": "The technical topic, the audience with its prior knowledge, and the context for what the explanation is needed for are provided.", "rolle": "mensch" }, { "nr": 2, "titel": "Distill the core concept", "beschreibung": "The essence of the topic is reduced to one sentence, and suitable analogies are found for each audience.", "rolle": "automatisch" }, { "nr": 3, "titel": "Build the multi-level explanation", "beschreibung": "Two to three levels of understanding are created, each with an analogy, a stated relevance, and follow-up questions.", "rolle": "automatisch" }, { "nr": 4, "titel": "Finished explanation levels", "beschreibung": "The multi-level explanations are complete and ready to use immediately.", "rolle": "ergebnis" }, { "nr": 5, "titel": "Choose the right level", "beschreibung": "Depending on the counterpart, the matching explanation is used, and the conversation shows whether it lands.", "rolle": "mensch" } ], "herausgeber": "Voyage Digital", "version": "2.0", "stand": "2026-07-27", "umsetzung": [ { "titel": "Choose a topic", "text": "The starting point is the question of what the audience actually needs to understand." }, { "titel": "Run the skill", "text": "The skill text is copied and the placeholders are filled in with the relevant details." }, { "titel": "Choose the right level", "text": "Depending on the counterpart, the matching explanation level is used." }, { "titel": "Gather feedback", "text": "Afterwards, it is checked whether the audience actually understood the explanation." } ], "zutaten": [ "Technical topic", "Audience", "Context" ], "beispielSzenario": "An AI consultant is preparing for a board meeting and needs to explain what Retrieval Augmented Generation (RAG) is and why the method matters for the company's strategy. She gives the skill the technical topic and the audiences involved. The skill delivers three explanation levels: a short elevator version for the first mention, a fuller version for the board meeting, and a technical deep dive for the IT team.", "eingaben": [ { "feld": "Technical topic or concept to be explained", "pflicht": true }, { "feld": "Audience(s) and their prior knowledge", "pflicht": true }, { "feld": "Context for what the explanation is needed for", "pflicht": true }, { "feld": "Desired levels of understanding", "pflicht": false }, { "feld": "Maximum length per level", "pflicht": false }, { "feld": "Industry context for suitable examples", "pflicht": false } ], "ausgabe": "Two to three explanation levels, each with a core statement in one sentence, a matching analogy, the reason for its relevance to the respective audience, and follow-up questions for deeper exploration.", "prompt": "# ASSIGNMENT\nYou explain a technical topic for several audiences at once, each explanation understandable on its own without any loss of factual accuracy. The goal is a set of two to three explanation levels for the same topic, so the same thing never has to be reformulated from scratch each time.\n\n# INPUTS\n- Technical topic or concept to be explained (required)\n- Audience(s) with their respective prior knowledge (required)\n- Purpose of the explanation: presentation, training, content (required)\n- Desired levels of understanding: layperson, advanced, expert (optional)\n- Maximum length per level (optional)\n- Industry context for suitable examples (optional)\n\n# HOW THE EXPLANATION TAKES SHAPE\n\n**Extract the core.** First, determine what every audience absolutely needs to understand, compressed into a single sentence. Technical terms that appear at the layperson level are replaced with everyday language. The explanation always opens with the big picture, never with details.\n\n**Build the levels.** Starting from the core, the levels are developed from simple to complex, each understandable on its own, without requiring the previous level to have been read. The layperson level combines an everyday analogy with one concrete example. The advanced level explains the underlying mechanism and its implications. The expert level uses technical terminology and names the nuances and limits of the concept. A condescending tone at the layperson level is ruled out.\n\n**Test the comparisons.** For each level, analogies and examples are sought that are genuinely anchored in the everyday world of the respective audience and that actually hold up in at least two dimensions. Where an analogy reaches its limits, this is stated openly rather than concealed. Worn-out or misleading comparisons are excluded.\n\n**Show the relevance.** Each level answers why this specific audience should know this, and makes the practical relevance for the respective role concretely tangible.\n\n# OUTPUT FORMAT\n- Two to three explanation levels\n- Per level:\n 1. Level label, for example \"For beginners\" / \"For decision-makers\" / \"For experts\"\n 2. Core statement in one sentence\n 3. Explanation with a suitable analogy or example\n 4. Answer to the so-what factor for this audience\n 5. Follow-up questions for deeper exploration\n- Length: 100 to 300 words per level\n\n# KNOWLEDGE BASE AND LIMITS\n- Global placeholders: COMPANY, INDUSTRY, AUDIENCE\n- Skill-specific: technical domain of the topic, prior knowledge of the audience\n- Underlying knowledge: pedagogy, analogy building, the Feynman technique, staged construction of explanations\n- Limit: simplification must never result in false statements. Critical simplifications are flagged. Where facts about the topic are missing, this is explicitly marked as an assumption rather than filled in silently.\n\n# CHECKPOINTS BEFORE HANDOFF\n[ ] At least two levels of understanding are fully worked out\n[ ] Each level has a core statement in one sentence\n[ ] Each level contains at least one fitting analogy\n[ ] The layperson level contains no unexplained technical terms\n[ ] The so-what factor is answered per level\n[ ] Simplifications do not lead to false statements, critical points are flagged\n[ ] Missing facts are marked as an assumption, not filled in silently\n[ ] Follow-up questions for deeper exploration are included\n[ ] The address remains professional and consistent throughout\n\n# OPENING THE CONVERSATION\nHello, let's make a complex topic tangible together. For that I need from you:\n\n1. The topic: what should be explained?\n2. The audience: who should understand it, with what prior knowledge?\n3. The purpose: what do you need the explanation for? Presentation, training, content?\n4. Optional: the desired levels of understanding, layperson, advanced, expert.\n\nYou will receive multi-level explanations with suitable analogies from me.", "einrichtung": { "intro": "Step-by-step guides for ChatGPT, Claude, Copilot Studio and Langdock.", "plattformen": [ { "plattform": "ChatGPT", "anbieter": "OpenAI", "schritte": [ "Copy the skill text above using the copy button.", "Click your profile picture and select \"Skills\".", "Click \"Create skill\" and paste the copied text as the instruction.", "Adjust inputs, outputs and format where your case requires it.", "Save the skill. It is available in all chats from that point on." ], "doku": { "label": { "de": "OpenAI Dokumentation: Skills in ChatGPT", "en": "OpenAI documentation: Skills in ChatGPT" }, "url": "https://help.openai.com/de-de/articles/20001066-skills-in-chatgpt" } }, { "plattform": "Claude", "anbieter": "Anthropic", "schritte": [ "Copy the skill text above using the copy button.", "Open claude.ai and go to \"Skills\" in your profile.", "Create a new skill and paste the copied text as the instruction.", "The skill works in claude.ai, in Claude Code and through the API.", "Available on the Pro, Max, Team and Enterprise plans." ], "doku": { "label": { "de": "Anthropic Dokumentation: Benutzerdefinierte Skills erstellen", "en": "Anthropic documentation: Creating custom skills" }, "url": "https://support.claude.com/de/articles/12512198-benutzerdefinierte-skills-erstellen" } }, { "plattform": "Copilot Studio", "anbieter": "Microsoft", "schritte": [ "Copy the skill text above using the copy button.", "Open Copilot Studio and create a new agent.", "Paste the copied text as the instruction.", "Connect knowledge sources and tools where needed.", "Publish the agent for yourself or for your organisation." ], "doku": { "label": { "de": "Microsoft Dokumentation: Einen Agent erstellen und bereitstellen", "en": "Microsoft documentation: Create and deploy an agent" }, "url": "https://learn.microsoft.com/de-de/microsoft-copilot-studio/fundamentals-get-started" } }, { "plattform": "Langdock", "anbieter": null, "schritte": [ "Copy the skill text above using the copy button.", "Open the sidebar and click \"Add skill\".", "Paste the copied text directly as the instruction.", "Connect the skill to integrations such as Gmail or Slack where needed.", "Save the skill and release it for yourself or your team." ], "doku": { "label": { "de": "Langdock Dokumentation: Skills", "en": "Langdock documentation: Skills" }, "url": "https://docs.langdock.com/de/product/chat/skills" } } ] }, "itemIcon": "brain", 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