promptify
✓Verified·Scanned 2/18/2026
Optimize prompts for clarity and effectiveness. Use when user says "improve this prompt", "optimize my prompt", "make this clearer", or provides vague/unstructured prompts. Intelligently routes to sub-agents for codebase research, clarifying questions, or web search as needed.
from clawhub.ai·v20eeec4·13.4 KB·0 installs
Scanned from 3.1.0 at dea8a49 · Transparency log ↗
$ vett add clawhub.ai/tolibear/promptify
Promptify
Optimize your prompts. One command, stackable modifiers.
Works in Claude Code and molt.bot.
Install
Claude Code:
claude plugin install promptify@tolibear
Molt.bot:
npx molthub install promptify
Usage
/promptify [+modifiers] your prompt here
Modifiers
| Modifier | Effect |
|---|---|
+ask | Ask clarifying questions first |
+deep | Explore codebase for context |
+web | Search web for best practices |
Stack them:
/promptify +ask+deep+web Build a payment system
Smart Auto-Detection (v3)
Skip modifiers - promptify auto-detects what's needed:
| Your Prompt | Auto-Triggers |
|---|---|
| "Add auth to our API" | Codebase research |
| "Help me with this thing" | Clarifying questions |
| "Best practices for React hooks" | Web search |
| "Write a landing page" | Direct optimization |
Example
Before:
Build a payment system
After:
You are a senior backend engineer with Stripe integration experience.
<task>
1. Analyze payment requirements (one-time vs recurring, currencies, refunds)
2. Design the data model (customers, payments, subscriptions)
3. Implement Stripe integration with proper error handling
4. Add webhook handlers for payment events
5. Include idempotency keys for safe retries
</task>
<constraints>
- Use Stripe API v2024-01
- Handle card failures gracefully with user-friendly messages
- Log all payment events for debugging
- Never store raw card numbers
</constraints>
<output>
Working implementation with:
- Payment service class
- Webhook controller
- Database migrations
- Test coverage for happy path and failure cases
</output>
What It Does
- Analyzes images you include
- Uses conversation context
- Detects prompt type (coding, writing, analysis, creative, data)
- Converts output requests to process-oriented prompts
- Removes anti-patterns (filler, excessive politeness)
- Enforces Role, Task, Constraints, Output
- Copies to clipboard
Changelog
v3.0.0 - Rewritten for Claude 4.x. 65% shorter (163→57 lines). Progressive disclosure. Contract-first design.
License
MIT