// PROMPT LIBRARY

EVERY PROMPT YOU WRITE.
ORGANIZED. SEARCHABLE. READY.

Stop losing your best prompts in notes apps and chat histories. Prompt Library gives you a centralized home for every prompt you write — tagged by type and target agent, searchable across all fields, previewed with live variable substitution, and copyable in one click. Your AI toolkit, finally under control.

Launch App See How It Works
7
Prompt Types
5
Target Agents
Live
Variable Preview
1-Click
Copy to Clipboard

Your Prompt Command Center

The dashboard opens with five stat tiles — total prompts, favorites, pinned count, draft count, and auto-generated count — so you see the state of your library at a glance. Pinned prompts appear in a dedicated top row for one-click access to your most-used templates. A type distribution chart shows how your library skews across chatbot, coding-agent, system-prompt, and other categories, while a prompt sources doughnut chart breaks down library entries by origin (manual, imported, auto-generated, duplicated). Recent additions fill the bottom table so you can resume exactly where you left off.

meltuc.tech/prl/app
47
Total Prompts
12
Favorites
6
Pinned
5
Drafts
9
Auto-Generated
Pinned Prompts
Claude Code System Prompt
coding-agent
Copy
Research Deep Dive Template
research
Copy
Blog Post Rewrite — Concise
rewrite
Copy
By Type
coding-agent 18
chatbot 11
system-prompt 8
template 6
other 4
By Source
47
Manual 28
Imported 10
Auto-gen 9
Recent Additions
Title Type Agent Added
PR Description Generator coding-agent claude-code 2h ago
Weekly Planning Kickoff planning chatgpt yesterday
Code Review Assistant coding-agent claude-code Apr 15

Find Any Prompt in Seconds

The prompt list is a full-featured browser with persistent filters. Full-text search spans title, summary, and prompt body. Dropdown filters cover type (chatbot, coding-agent, system-prompt, research, rewrite, planning, template), target agent (Claude Code, ChatGPT, OpenClaw, Hermes, generic), status (active, draft, archived), and favorites toggle. Tag pills appear above the table as clickable one-shot filters — click any tag to instantly scope the view. Results sort by last updated, creation date, alphabetical, or favorites-first. Pagination handles hundreds of prompts.

meltuc.tech/prl/app/prompts?q=claude&type=coding-agent
TAGS: claude-code × python refactor review planning +8 more
14 results · filtered by type: coding-agent Sort: Last Updated ↓
Title Type Agent Tags Status
Claude Code System Prompt v2 coding-agent claude-code systemclaude active
PR Description Generator coding-agent generic gitpr active
Refactor to Functional Style coding-agent claude-code pythonrefactor draft
Code Review — Security Focus coding-agent generic reviewsecurity active
Test Suite Generator coding-agent claude-code archived
Page 1 of 3

Everything About One Prompt

The detail page uses a 60/40 split: the left panel shows the full prompt body in a monospace code-style block alongside a character and token estimate. The right panel holds all metadata — type badge, target agent, status, tag list, notes, created and updated timestamps — plus the primary copy button and quick action row (edit, duplicate, toggle favorite, toggle pin, archive). Version history is accessible from the detail page when multiple saved versions exist — and any earlier version can be restored in one click. Rollback archives the current state first, so nothing is ever lost and you can always roll forward again.

meltuc.tech/prl/app/prompts/14
Claude Code System Prompt v2
active ★ Favorite 📌 Pinned
Prompt Body
You are an expert software engineer working inside a large
codebase. Your task is to .

Follow these constraints:
- Do not modify files outside
- Prefer editing existing files over creating new ones
- Write no comments unless the WHY is non-obvious
- Run tests after every change
243 chars
~61 tokens
Details
coding-agent claude-code
Tags
system claude constraints
Updated Apr 16 · v3
⎘ Copy to Clipboard
Edit
Duplicate
Archive

Variables. Tokens. Copy.

Every prompt has a dedicated preview panel. It scans the body for {{variable}} placeholders and renders a live input field for each one. As you fill them in, the preview updates in real time, substituting your values inline. A running token counter updates as you type so you always know what you're sending before you copy. One click puts the final resolved prompt — with all variables filled in — directly in your clipboard.

meltuc.tech/prl/app/prompts/14/preview
Live Preview
You are an expert software engineer working inside a large
codebase. Your task is to add pagination to the /app/prompts route.

Follow these constraints:
- Do not modify files outside blueprints/prl/
- Prefer editing existing files over creating new ones
- Write no comments unless the WHY is non-obvious
- Run tests after every change
298 chars
~75 tokens
Variables Detected (2)
task_description
add pagination to the /app/prompts route
scope_directory
blueprints/prl/
⎘ Copy Resolved Prompt
Variables substituted • Ready to paste

Write & Organize in One Form

The prompt editor captures every dimension of a prompt in a single focused form. A monospace textarea for the body keeps the prompt feeling like code, not prose. Chip-style tag input lets you add and remove tags inline — press Enter or comma to confirm. Type and target agent dropdowns keep the library consistently categorized. A live character counter appears below the body. Notes field is available for private context about when and how to use the prompt. Drafts save in-progress work without publishing.

meltuc.tech/prl/app/prompts/new
Title *
Sprint Planning Kickoff Prompt
Type
planning
Target Agent
chatgpt
Summary (optional)
One-line description shown in list view
Prompt Body * Use {{variable}} for placeholders
You are running sprint planning for {{team_name}}.
Review the following backlog items and propose a
sprint goal for the next {{sprint_length}} days.

Backlog: {{backlog_items}}
187 chars · ~47 tokens · 3 variables detected
Tags
planning × sprint × agile × add tag…
Save as Draft
Save & Publish
// HOW IT WORKS

From Idea to Clipboard in Five Steps

Prompt Library is built around a simple workflow: write once, reuse forever.

01
Create
Open the editor and write your prompt. Set type, target agent, and add {{variables}} anywhere in the body. Save as draft or publish immediately.
02
Tag & Organize
Add chip-style tags during creation or on any edit. Pin frequently used prompts to your dashboard. Star favorites for filtered access. Status moves from draft → active → archived.
03
Find
Search by title, body, or summary. Filter by type, agent, status, or tag. Click any tag pill to instantly scope the list. Sort by recency, alphabetical, or favorites-first.
04
Preview & Fill
Open any prompt's preview panel. Variable fields appear automatically for every {{placeholder}} detected. Fill them in and watch the resolved text update live alongside a token estimate.
05
Copy & Use
Hit Copy to send the fully resolved prompt — with all variables substituted — directly to your clipboard. Paste into Claude Code, ChatGPT, or any AI tool. Done.
// CAPABILITIES

Everything in the Toolbox

A full-featured prompt management system built for the MelTuc ecosystem.

📚
Rich Prompt Editor
Full creation and edit form: title, summary, monospace body textarea, type dropdown, target agent dropdown, tags chip input, notes field, and status selector. Live character count displayed below the body.
Variable Substitution
Write prompts with {{variable_name}} placeholders. The preview page auto-detects all variables and renders a live input field for each. Substituted output updates in real time before you copy.
Favorites & Pins
Star any prompt as a favorite for fast filtered access. Pin up to 6 prompts to the top row of your dashboard for permanent one-click availability. Both are toggleable from list view, detail view, and the editor.
📋
One-Click Copy
Copy button on every row in list view and prominently on every detail page. From the preview panel, copies the fully resolved version with all variables substituted. No modal, no confirmation — clipboard immediately.
📊
Type Distribution Chart
Dashboard shows a breakdown of your library by prompt type with per-type counts. Instantly see whether you're heavy on system-prompts, light on templates, or well-balanced across chatbot, planning, and research categories.
CSV & Bulk Export
Export your complete prompt library as CSV or JSON from the settings page. All fields exported — title, body, tags, type, agent, status, dates. Bulk archive draft prompts in one action.
Version History & Rollback
Every edit is snapshotted automatically. Browse the full history of any prompt and restore an earlier version in one click. Rollback archives the current state first, so no version is ever lost and you can always roll forward again.
🍩
Prompt Sources Chart
A doughnut chart on the dashboard breaks down your prompt library by source — manually written, imported, auto-generated, or duplicated. Alongside it, an auto-generated count tile tracks exactly how many prompts were created by pipeline automation versus manual authoring.
// GET STARTED

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Every AI workflow you repeat is a prompt worth saving. Stop rewriting from scratch.

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