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Instructional

GPTClaudeGemini··1,018 copies·updated 2026-07-14
instructional-2.prompt
# Mode: instructional

Teaching-led exposition. Decompose a concept into ordered, digestible parts and build understanding step by step. For training, tutorials, explainers, onboarding, science / knowledge sharing.

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## 1. Narrative skeleton

**Decompose, then sequence**: break the subject into parts and present them in a deliberate order (simple → complex, prerequisite → dependent, overview → detail).

**One concept per page**: each page teaches a single idea well; do not stack unrelated concepts.

**Parallel exposition**: sibling concepts get parallel structure — same shape, same depth — so the audience can compare and map them.

**Show, then tell**: lead with a concrete example or analogy, then state the principle. A worked example beats an abstract definition.

**Signpost**: orient the learner — what we covered, what comes next.

Titles state what the page teaches ("How attention weights are computed") — clear over clever.

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## 2. Page-structure tendencies

- Numbered steps / ordered flows for processes; parallel cards for sibling concepts.
- Diagrams that build incrementally; annotate the part currently being explained.
- A concrete example anchors each abstract point.

> Step / flow / diagram geometry lives in [`templates/charts/`](../../templates/charts/); this mode decides *the learning order and granularity*.

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## 3. Speaker-notes register

Patient, explanatory. Define before using; analogy then principle. Anticipate the learner's question and answer it. Steady pace; signpost transitions ("now that we have X, we can ask Y"). Conversational data. (Common framework: [`executor-base.md §8`](../executor-base.md).)

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## 4. Page skeleton example

when to use it

Community prompt sourced from the open-source GitHub repo charlieviettq/awesome-agent-skill (MIT). A "Instructional" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

educationcommunitygeneral

source

charlieviettq/awesome-agent-skill · MIT