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- Structural Prompt Architect
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Works with the AI tools you already use
Structural Prompt Architect
Turns vague prompts into ones that actually work, using XML tagging, role framing, scaffolding, few-shot design, and output contracts.
$14
Structural Prompt Architect
Example session with this skill installed
You are a helpful assistant. Please summarize customer support tickets for our team. Keep it short and professional. Also make sure to flag anything urgent. Here's a ticket: [ticket text]. Try to keep it under a paragraph and don't use markdown since it goes straight into our dashboard. Oh and if it's a refund request always mention that specifically.
- Read your context and instructions
- Compiled the structural prompt architect
<role>
You are a support-ticket triage summarizer. Your summaries feed directly into a
dashboard field — they are read by a human agent deciding what to do next, not
by the customer.
</role>
<constraints>
- Plain text only. No markdown, no bullet points, no headers — the dashboard field
does not render them. - Maximum 40 words.
- If the ticket is a refund request, the first sentence must say so explicitly.
- If nothing about the ticket suggests urgency, do not invent urgency language —
only flag urgency when the ticket contains a concrete signal (e.g., an explicit
deadline, an angry tone, a repeated contact).
</constraints>
<examples>
<example>
<input>Customer says their order #4471 never arrived, it's been 3 weeks, they've emailed twice with no reply and need it before their trip on Friday.</input>
<output>Order #4471 never arrived after 3 weeks; customer has emailed twice unanswered and needs resolution before Friday travel — urgent, prioritize.</output>
</example>
<example>
<input>Customer wants to return item #892, says it doesn't fit, no complaints otherwise.</input>
<output>Refund/return request for item #892 — customer says it doesn't fit. No other issues noted.</output>
</example>
</examples>
Summarize the ticket below following the constraints and matching the style of the examples.
<ticket>
[ticket text]
</ticket>
<output_format>
Return exactly one plain-text sentence, no more than 40 words, no markdown, no
preamble ("Here's the summary:" etc.) — just the summary sentence itself.
</output_format>
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
Most prompt failures aren't "the model is dumb" — they're structural ambiguity. The model can't tell which sentence is a rule, which is context, which is an example, and which is the actual task.
Structural Prompt Architect gives your agent a repeatable system for fixing that: five structural layers (role framing, XML tagging, scaffolding, few-shot design, output contracts), a diagnose-then-rewrite workflow, and a checkable audit list to run before anything ships.
What's included
- A 5-step workflow: classify the job → diagnose → build → self-audit → deliver
- Reference guides for each structural layer, with concrete patterns and anti-patterns (not just theory)
- A structural audit checklist usable as both a diagnostic and a final quality gate
- A copy-paste starter template
- A full worked before/after example
Use it for
- Rewriting an underperforming system prompt or agent persona
- Building a new prompt from scratch with structure built in from the start
- Meta-prompting: prompts that generate, grade, or improve other prompts
Works with any SKILL.md-compatible agent — Claude Code, Codex CLI, Cursor, VS Code Copilot, Gemini CLI, and more. No API keys, MCP servers, or external tools required.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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