prompt to template
Convert raw prompts into typed, variable-driven templates with built-in hallucination guardrails.
$5
Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+22 moreClaude CodeCursorCodex CLIMuseDots
OpenClaw
Manus
Grok
Grok Bot+18 agentsprompt to template
Example session with this skill installed
Turn this into a template: Write a blog post about [topic] for [audience]. Use a [tone] tone and make it [length] words. Make sure to cite [source].
- Read your context and instructions
- Compiled the prompt to template
Template
Write a blog post about [TOPIC] for [AUDIENCE]. Use a [TONE] tone. The target length is [WORD_COUNT] words.
<source_material>
[SOURCE_URL_OR_TEXT]
</source_material>
Base your writing strictly on the provided source material. If the source is missing, ask for it.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Hard-coded prompts fail when context changes, leading to prompt injection risks and inconsistent outputs. Developers often struggle to transform working prompts into reusable, typed templates that handle missing inputs or hallucinations gracefully.
What it does
- Converts raw prompts into reusable templates using
[UPPER_SNAKE_CASE]variable slots. - Generates a formal variable schema with types, constraints, and default behaviors for every slot.
- Injects grounding instructions and hallucination guardrails to prevent AI from inventing facts or citations.
- Audits existing prompts for reliability risks, ranking issues from critical to low with concrete fixes.
- Wraps source materials in XML tags and adds instructions to ignore potential injection attacks within user data.
Why this beats prompting it yourself
Manually parameterizing prompts is tedious and error-prone. This skill enforces strict slot-typing and safety conventions that prevent the model from treating user data as instructions, ensuring your templates work reliably across different LLM platforms.
Use cases
- Turn a successful one-off chat into a production-ready API prompt template.
- Audit internal prompt libraries for hallucination risks and false confidence.
- Prepare prompt assets for marketplaces like PromptBase with standardized schemas.
- Standardize how your team handles optional inputs and tool-call fallbacks.
Known limitations
Requires the execution of a Python audit script for final validation of Markdown outputs. Does not automatically fix warnings from the audit script, which require manual review.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 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.
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