OpenClaw + Claude + Cursor: One Skill Library for All Three

If you use OpenClaw, Claude, and Cursor, you can maintain a single skill library that stays in sync across all three instead of managing separate prompt sets in each tool. Promptzy acts as the hub that connects them, so a skill created or updated in any one tool automatically appears in the others.

This post walks through the real workflow: how sync actually works between these three tools, what happens when skills diverge, and how to set it up so you're never rebuilding the same prompt library inside each app again.

The Problem: Three Tools, Three Separate Skill Sets

If you're using all three tools regularly, you probably recognize this pattern:

In Claude, you've set up project instructions. Maybe a "Code Review" project with specific guidelines, a "Writing" project with tone rules, and a few custom system prompts you've refined over weeks.

In Cursor, you've got .cursorrules files in various repos. Some are project-specific, but a few are general-purpose instructions you copy between repositories. Your best coding prompts live here, tuned for how Cursor handles context.

In OpenClaw, you've been building a collection of skills for the tasks that don't fit neatly into Claude or Cursor. Research prompts, analysis templates, general-purpose instructions.

Each tool has its own storage format, its own organizational system, and its own way of accessing saved content. The skills overlap significantly, but they're maintained independently. When you improve your code review prompt in Cursor, the Claude version stays stale. When you create a great research template in OpenClaw, Cursor has no idea it exists.

This isn't a hypothetical annoyance. It's a real time cost. Every week, you're either maintaining duplicate skill sets or, more commonly, letting most of them go stale while one tool becomes your "primary" and the others get second-class treatment.

Why Not Just Pick One Tool?

The obvious answer is "just use one AI tool for everything." But that's not how these tools work in practice.

Cursor is where you code. It has the best IDE integration, inline editing, and codebase awareness. You're not switching away from it for development work.

Claude is where you think. Long conversations, research, document analysis, complex reasoning. Claude's extended context and conversation threading make it the right tool for these tasks.

OpenClaw fills the gaps. It's where you run workflows that need a different model, a different interface, or capabilities that Claude and Cursor don't expose directly.

Each tool is best at something. Using all three isn't redundancy. It's using the right tool for the right job. The problem isn't multi-tool usage. The problem is that your skills don't travel between them.

How Promptzy Connects All Three

Promptzy sits between your AI tools and acts as the central hub for your skill library. Here's the architecture:

Your skills live as plain Markdown files on your Mac. Each skill is a .md file in a local directory. This is the source of truth. No cloud database, no proprietary format. Just files you own.

Promptzy syncs bidirectionally with each connected tool. When you create a skill in Claude, Promptzy detects it and adds it to your local library. When you edit a skill in Promptzy (or via Cursor), that change propagates to Claude and OpenClaw. The sync is multi-directional: any connected tool can be the origin point for a change.

Each tool gets the skills in its native format. Claude gets project instructions. Cursor gets rules files. OpenClaw gets its skill format. You work with each tool the way it was designed to work. The translation happens automatically.

This means you don't have to think about sync. You work in whichever tool is open, and the library stays consistent.

Real Workflow: Create Once, Use Everywhere

Here's what the workflow looks like in practice.

Scenario 1: You Build a Skill in Claude

You're in Claude working on a product spec. Through the conversation, you develop a really effective system prompt for product requirement analysis:

# Product Requirements Analyst

Analyze product requirements documents for:
1. Ambiguous language that could lead to different implementations
2. Missing edge cases and error states
3. Unstated assumptions about user behavior
4. Dependencies on other systems or features not mentioned
5. Acceptance criteria gaps

For each issue found, provide:
- The specific text that's problematic
- Why it's a problem
- A suggested revision

Prioritize by implementation risk (what's most likely to cause rework).

You save this as a Claude project instruction. Promptzy detects the new skill, pulls it into your local library, and syncs it to Cursor and OpenClaw. Next time you're in Cursor working on the implementation of that spec, the same skill is available. You didn't copy anything manually.

Scenario 2: You Refine a Skill in Cursor

Your code review skill has been working well, but after a few weeks of use in Cursor, you realize it needs an additional check for accessibility issues. You update it directly in Cursor:

# Code Review

Review this code for:
1. Security vulnerabilities (injection, XSS, auth bypass)
2. Logic errors and unhandled edge cases
3. Performance issues (N+1 queries, unnecessary re-renders)
4. Accessibility violations (missing ARIA labels, keyboard nav, contrast)
5. Readability and maintainability

Format: list issues by severity, include line references, suggest fixes.

{{clipboard}}

Promptzy picks up the change, updates the canonical version in your local library, and pushes it to Claude and OpenClaw. The improvement you made in Cursor is now available everywhere.

Scenario 3: You Create a Template in Promptzy

Sometimes you want to build a skill from scratch without being inside any particular AI tool. Promptzy's Markdown editor is designed for this. You create a new skill with dynamic variables:

# Competitive Analysis

Analyze this competitor's product/feature against ours.

Our product: {{product_name:Promptzy}}
Competitor: {{competitor_name}}
Feature area: {{feature_area}}

Evaluate:
1. Feature parity (what they have that we don't, and vice versa)
2. UX differences (how each approaches the same task)
3. Pricing model comparison
4. Target audience overlap
5. Technical approach differences

End with: 3 things we should steal, 3 things we do better,
and 1 thing neither product does yet.

Context:
{{clipboard}}

This skill immediately syncs to Claude, Cursor, and OpenClaw. You built it once in a dedicated editor, and it's now part of your toolkit in every tool.

Handling Conflicts: When Skills Diverge

The trickiest part of multi-directional sync is conflicts. What happens when you edit the same skill in two different tools before a sync cycle completes?

This is where conflict resolution comes in. Promptzy handles it with a source-of-truth model:

Detection. When Promptzy detects that a skill has been modified in two or more places since the last sync, it flags a conflict. You don't lose either version.

Comparison. You see both versions side by side. The differences are highlighted so you can see exactly what changed and where.

Resolution. You pick the winner. Either version A (from Claude), version B (from Cursor), or you manually merge the two. The winning version becomes the new canonical copy and syncs to all tools.

Prevention. Once you've been using the system for a while, conflicts become rare. Most people naturally gravitate toward editing skills in one place (often Promptzy itself, since it has the best Markdown editor). The tools become consumption points more than editing points.

In practice, the most common conflict scenario is: you tweaked a skill in Claude during a conversation, and separately tweaked the same skill in Cursor while coding. Both changes were improvements, and Promptzy lets you merge them into one better version.

Organizing a Shared Library for Three Tools

When your library serves multiple tools, organization becomes even more important. Here's what works:

Use Collections by Domain

• Engineering: Code review, debugging, architecture, refactoring, testing
• Product: Requirements analysis, user story writing, prioritization
• Research: Literature review, competitive analysis, data interpretation
• Writing: Editing, tone adjustment, documentation, communication

These collections work regardless of which tool you're in. A code review skill is an Engineering skill whether you fire it from Claude or Cursor.

Tag by Tool Affinity

While skills should be tool-agnostic in principle, some work better in certain contexts. Tags help:

• cursor-optimized: Skills that leverage Cursor's codebase awareness
• long-context: Skills designed for Claude's extended context window
• quick: Skills designed for rapid, single-turn use in any tool

These tags help you pick the right skill for the right context without fragmenting your library.

Maintain a Favorites List

Your top 5-10 skills should be accessible from Cmd+Shift+P in under 2 seconds. These are the ones you use daily across all tools. Mark them as favorites, assign keyboard shortcuts to the most-used ones, and let the rest live in searchable collections.

What About Other Tools in the Ecosystem?

Built-in Prompt Storage (Claude Projects, Cursor Rules)

These work fine as local storage within each tool. The problem is they don't sync. If you're only using one AI tool, built-in storage is sufficient. The moment you add a second tool, you need a hub.

Claude Projects are particularly useful for conversation-level instructions, but they don't travel to Cursor. Cursor Rules are great for repo-specific behavior, but they don't travel to Claude. Promptzy bridges this gap.

PromptBox and AIPRM

Both are Chrome-only. If your workflow involves Cursor (a desktop IDE) or any non-browser tool, they can't reach it. PromptBox charges $9-29/mo for what amounts to a browser-based prompt clipboard. AIPRM can run up to $999/mo and is locked to ChatGPT in Chrome. Neither supports sync with Claude, Cursor, or OpenClaw.

TextExpander and Raycast

TextExpander ($40-100/yr) handles text expansion well, but it has no concept of AI skills vs simple prompts. It doesn't know what Claude is, what Cursor rules are, or how to format a system prompt. It's a generic text tool applied to a specific problem.

Raycast's snippets are fast and native to macOS, but they have the same limitation. They treat AI prompts as text strings, with no awareness of skill structure, no Markdown editing, no dynamic variables designed for AI workflows, and no sync between AI tools.

SpacePrompts and FlashPrompt

SpacePrompts ($5-9/mo) is web-only and cloud-dependent. Your library lives on their servers. FlashPrompt is Chrome-only with no sync. Neither supports the desktop-native, multi-tool workflow that OpenClaw, Claude, and Cursor users need.

Step-by-Step: Setting Up Three-Tool Sync

Here's how to get from zero to a fully synced skill library across all three tools:

Step 1: Install Promptzy. Download from promptzy.app. The base app is free.

Step 2: Connect your tools. In Promptzy's settings, connect Claude, Cursor, and OpenClaw. Each connection requires pointing Promptzy to where that tool stores its skills/instructions/rules.

Step 3: Import existing skills. Promptzy will scan each connected tool and import any existing skills into your central library. You'll see everything consolidated in one place, possibly for the first time.

Step 4: Deduplicate. You'll likely find overlapping skills across tools. Merge the best versions and delete duplicates. This is a one-time cleanup.

Step 5: Organize. Create collections and apply tags. Follow the domain-based structure described above.

Step 6: Set up shortcuts. Assign Cmd+Shift+P as your global search shortcut. Add per-skill keyboard shortcuts for your top 5 daily drivers.

Step 7: Work normally. From here, just use your tools as you always have. Create skills wherever it's convenient. Promptzy handles the sync.

The Long-Term Value

Three months into using a synced library, something shifts. You stop thinking about which tool has which prompt. You just search, pick, and use. The mental overhead of maintaining three separate skill sets drops to zero.

More importantly, every improvement compounds. When you refine a skill in one tool, every tool benefits. Your library becomes a single, continuously improving asset rather than three slowly diverging collections.

If you use OpenClaw, Claude, and Cursor, the fragmentation tax is real and it grows every week you wait. Promptzy eliminates it. It's a native macOS app, free to use, with a one-time $5 Pro upgrade for iCloud sync across Macs. Download it, connect your three tools, and start working with one skill library instead of three.