Prompt Naming Generator

A prompt naming generator is a tool that reads your prompt text and suggests concise, descriptive names for it. Rather than asking you to summarize your prompt yourself, the tool extracts the strongest naming signal — an explicit heading, a task line, or a section label such as "Goal" or "Role" — and derives several candidate names from it automatically. This is useful when building a prompt library, tagging saved prompts in a workflow, or naming files in a version-control system.

The tool produces up to six styles: Descriptive Title (title-case, full meaningful words), Short Title (the first one to three meaningful words, title-cased), Action-Oriented (leads with an action verb such as "Generate" or "Analyze"), kebab-case (lowercase, hyphens, ASCII only — safe for URLs and filenames), snake_case (lowercase, underscores, ASCII only — safe for Python variables and database columns), and PascalCase (capitalized words concatenated, ASCII only — safe for class or component names). You can generate all styles at once or select a single style from the dropdown.

The tool applies a four-step priority order. First, it looks for a Markdown heading (any # through ######) in the first ten lines; if found, the heading text is used as the source. Second, it scans the first fifteen lines for a recognized section label such as Role, Goal, Task, Context, or Output Format followed by a colon and value; if found, the value is used. Third, it looks for a line starting with an action verb or "You are…" directive in the first twenty lines. Fourth, it falls back to the first non-empty line of five or more characters. If none of these signals is strong enough, the tool shows "No strong naming signal detected" and offers "Untitled Prompt" as an editable fallback.

Yes. Every candidate is shown in an editable input field. You can click into any field and change the name freely before copying. The Copy button next to each candidate copies the current field value, so whatever you type is what gets copied. The "Copy all" button in the toolbar copies all current field values (one per line) including any edits you have made.

No. Candidate names are generated entirely in your browser using documented JavaScript rules. No API is called, no data is uploaded, and no model receives your prompt text at any point. The tool works offline after the page loads and produces the same output for the same input every time — it is fully deterministic.

Deterministic means the tool always produces the same candidate names for the same input text with the same settings. There is no randomness and no variation between runs. You can paste the same prompt on two different machines and get identical candidates. This is intentional: the names come from documented rules, not from a language model, so you can reason about and predict the output.

The tool uses transparent heuristics to extract naming signals, but heuristics cannot guarantee that a name is the best, most accurate, most searchable, or universally suitable choice for your use case. A heading may be generic; a task line may be ambiguous; the first meaningful words may not reflect the prompt's actual purpose. Candidates are clearly labelled as suggestions so you can edit them before using them. The tool does not claim semantic authority over your prompt.

A weak signal warning appears when the tool cannot find a strong naming source in your prompt — for example, when the prompt contains only generic phrases like "please help me write something," instruction noise words, or text that is entirely template placeholders. In this case the tool shows the "Untitled Prompt" fallback and marks it with a yellow "Weak signal" badge so you know the name is not derived from meaningful content and should be replaced manually.

The Length dropdown controls how many meaningful words are included in the candidate name. Short uses the first one to three words; Medium uses up to six words; Long uses up to ten words. "Meaningful words" excludes noise words (such as "please," "help," "can you," and common instruction verbs when they appear at the start), punctuation, URLs, and template placeholders. Truncation is applied deterministically: longer prompts are not summarized but simply cut off at the word boundary.

By default, template placeholders ({{variable}}, ${variable}, [VARIABLE], <VARIABLE>) are removed from the naming source before candidates are generated. This prevents placeholder tokens from appearing as nonsense words in names. If you check "Include {{placeholders}} in names," the raw placeholder text is kept in the source string and may appear in the candidates. Use this option only when the placeholder name itself (such as {{product_name}}) is meaningful for the name you want.

The extraction engine uses Unicode-aware regular expressions and preserves Unicode letters and numbers in the naming source. The Descriptive Title, Short Title, and Action-Oriented styles output Unicode characters as-is. The kebab-case, snake_case, and PascalCase styles strip non-ASCII characters because those formats are intended for use in identifiers, filenames, or URLs that must remain ASCII-safe. The explanation shown under each candidate tells you when transliteration or removal was applied.

The tool checks whether the naming source matches patterns that look like secrets — long hex strings, base64-like tokens, and lines containing keywords such as "bearer," "token," "key," "secret," or "password." If a match is detected, that line is skipped and the tool moves to the next candidate source. You should still review all output before using it. Do not paste prompts containing real API keys, tokens, or credentials into any online tool.

If the input is empty or contains only whitespace, the status reads "Waiting for input" and no candidates are generated. If the prompt has lines that are too short (fewer than five characters) or consist entirely of noise words, the tool shows the "No strong naming signal detected" state and offers "Untitled Prompt" as the editable fallback candidate.

The kebab-case, snake_case, and PascalCase styles are specifically designed for use in filenames, URL slugs, and code identifiers respectively. All three strip non-ASCII characters and replace spaces and punctuation with the appropriate separator. The Descriptive Title style preserves Unicode and spaces, making it suitable for display labels, prompt library entries, or documentation headings.

The Prompt Template Builder helps you author a prompt with named placeholders ({{variable}}) and preview the filled result. The Prompt Naming Generator takes an existing prompt text and suggests names for it. They complement each other: build your template in the Template Builder, then name the resulting prompt with the Naming Generator.

The Prompt Library is a curated catalog of reusable prompt patterns you can browse, filter, and copy. The Prompt Naming Generator is a utility you use when you want to give a name to your own prompt before saving it to a library, file, or version-control system.

The Slug Generator converts any arbitrary text into a URL-friendly slug using full NFKD transliteration, Unicode → ASCII mapping, stop-word filters, and separator options. The Prompt Naming Generator is specifically tuned for prompt text: it extracts the strongest naming signal from a structured or semi-structured AI prompt, then produces multiple naming-style candidates (not just a single slug). The kebab-case candidate from the Naming Generator and a direct slug from the Slug Generator may differ because the Naming Generator removes more instruction noise words.

No. Session history is held in memory only for the current browser tab session. It disappears when you reload the page or close the tab. Nothing is written to localStorage, sessionStorage, IndexedDB, or any cookie. There is no account, no sync, and no server.

Yes. The Download button produces a plain-text report containing the signal type and source, all candidate names with their style and explanation, and the privacy statement. The report does not include your full prompt text by default — only the extracted signal source (up to 120 characters). This means the downloaded file is safe to share without inadvertently exposing your full prompt content.

The tool removes common instruction words and filler words before building candidates. This includes words like "please," "help," "can," "you," "make," "create," "write," "generate," "build," "provide," "give," "explain," "describe," "show," "list," "tell," "answer," "respond," and common English articles, prepositions, and auxiliary verbs. It also removes the words "prompt," "ai," "gpt," "llm," "model," "system," "user," "assistant," "output," "input," "response," "message," and "based" because these add no distinguishing value to a prompt name.

The Action-Oriented style always leads with an action verb. If the first meaningful word in the extracted source is already a recognized action verb (Generate, Create, Write, Analyze, Review, Summarize, Build, Design, Extract, Format, Convert, Explain, Describe, List, Compare, Check, or Validate), it is kept as-is. If no action verb is detected, the tool prepends "Generate" as a safe neutral default. This is a documented heuristic limitation — edit the name if a different verb better reflects your prompt's intent.

Yes. Once the page has loaded, the entire naming engine runs in the browser. There are no API calls and no external requests. You can load the page, disconnect from the internet, and continue using the tool without interruption.