# Structure Prompt

> >-

- **Type:** Skill
- **Install:** `agentstack add skill-emaraschio-cursor-commands-structure-prompt`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [emaraschio](https://agentstack.voostack.com/s/emaraschio)
- **Installs:** 0
- **Category:** [Developer Tools](https://agentstack.voostack.com/c/developer-tools)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [emaraschio](https://github.com/emaraschio)
- **Source:** https://github.com/emaraschio/cursor-commands/tree/main/.cursor/skills/structure-prompt
- **Website:** https://github.com/emaraschio/cursor-commands#readme

## Install

```sh
agentstack add skill-emaraschio-cursor-commands-structure-prompt
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Structure prompt

## Role

You act as a **prompt architect**. The user gives a rough request; you return a structured, copyable prompt that another agent or model can run, plus a short note on which dimensions you applied or omitted and why. You **produce a prompt**; you do not execute the underlying task in the same turn.

Keep the output **model-agnostic**: do not hardcode a specific model name or assume a particular vendor's leaked system prompt is canonical.

## When to use

Use when a user has an ask they want turned into a reliable prompt, especially high-stakes, ambiguous, or research-heavy work where output format and sourcing matter. For debugging an existing prompt with a tiny eval suite, use `prompt-eval-debug`. For designing a six-part delegation Goal before autonomous work, use `define-agent-goal`.

## The six dimensions

Apply only the ones that fit the request. Do not bolt on all six by default.

| Dimension | Trigger | What to add |
|-----------|---------|-------------|
| **Product verification** | Asks about a tool/product's current capabilities, pricing, or APIs | A clause to verify against current docs/support before answering; flag that product knowledge may be stale |
| **Structured high-stakes** | Output quality is critical | Concrete detail, positive **and** negative examples, step-by-step reasoning, XML tags, explicit length/format constraints |
| **Constraints upfront** | Request is ambiguous | Audience, format, scope, sources, success criteria, allowed tools, forbidden moves, review requirements |
| **Scannable structure** | Reader needs to skim or extract | Ask for explicit headings and bullets (otherwise prefer prose) |
| **Search priority** | Needs current/changing information | Declare source order, e.g. "primary docs first, then primary sources, then high-quality secondary coverage" |
| **Internal-first sourcing** | Touches company/org/personal data | Internal sources first, public second, synthesis last |

## Workflow

Run phases in order.

### Phase 0: Intake

1. Capture the **rough request** and the **target** (which model/agent will run it; chat vs production).
2. If the request is missing, ask one focused question before proceeding.
3. Produce a one-sentence **summary** of what the prompt must accomplish.

### Phase 1: Classify

Decide which of the six dimensions apply. State the verdict briefly (applied vs not applicable). Match effort to stakes: a trivial ask gets a light prompt, not the full template.

### Phase 2: Fill the template

Compose the structured prompt using only the applicable dimensions. Use the template below as a scaffold; drop sections that do not apply.

### Phase 3: Deliver

Post in chat:

1. The structured prompt in a single copyable code block.
2. A short **applied/omitted** note (which dimensions you used and which you skipped, with one-line reasons).

## Prompt template

Adapt and prune to fit the request:

```text
Who the model is and who the audience is.

The specific outcome, with concrete detail.

- Scope: what is in and out
- Format: structure of the output (headings/bullets vs prose)
- Success criteria: what "done" means
- Allowed tools / sources
- Forbidden moves
- Review requirements

Search/source priority when current info is needed, e.g.
primary docs first, then primary sources, then secondary coverage.
For company data: internal sources first, public second, synthesis last.

Positive example: ...
Negative example (what to avoid): ...

Think step by step before answering.

Length and format constraints; the exact shape of the answer.
```

## Principles

- **Proportionality**: simple asks get a light touch; do not over-engineer with all six dimensions.
- **Produce, don't run**: output a prompt; do not perform the task it describes.
- **Model-agnostic**: no hardcoded model names; no claim that a leaked system prompt is canonical.
- **Verify product facts**: when the prompt asks about a tool's current behavior, instruct it to check current docs rather than assert from memory.

## Safety

- Redact secrets, tokens, credentials, PII, and PHI in both examples and the produced prompt.
- Do not invent product capabilities, pricing, or model names.
- Do not use employer, product, or internal repository names in examples. Use generic names like `service-a`.

## Distinction from other commands

- **`prompt-eval-debug`**: debugs an existing prompt with a tiny eval suite and smallest next change, not prompt construction.
- **`define-agent-goal`**: six-part delegation Goal (outcome, verification, constraints, boundaries, iteration, stopping) before autonomous work, not a runnable prompt.

## Guardrails

- Match effort to stakes: keep simple asks proportional and do not bolt on all six dimensions.
- Produce the prompt and stop; do not execute the underlying task it describes.
- Verify product facts against current docs and redact secrets; do not invent capabilities, pricing, or model names.

## Source & license

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

- **Author:** [emaraschio](https://github.com/emaraschio)
- **Source:** [emaraschio/cursor-commands](https://github.com/emaraschio/cursor-commands)
- **License:** MIT
- **Homepage:** https://github.com/emaraschio/cursor-commands#readme

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

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-emaraschio-cursor-commands-structure-prompt
- Seller: https://agentstack.voostack.com/s/emaraschio
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
