--- name: promptify description: 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. metadata: {"moltbot":{"emoji":"✨"}} ---

Prompt Optimizer

Transform prompts into clear, effective ones. Model-agnostic.

Modifiers (parse from ARGUMENTS)

• +ask → Force clarifying questions
• +deep → Force codebase exploration
• +web → Force web search

No modifiers? Auto-detect what's needed.

Auto-Detection Triggers

| Trigger | Signals | |---------|---------| | codebase-researcher | "this project", "our API", specific files/functions, "integrate", "extend", "refactor" | | clarifier | Ambiguous ("make it better"), multiple interpretations, missing constraints, vague pronouns | | web-researcher | "best practices", "latest", external APIs/libraries, framework patterns, year references |

Agent Dispatch

When agents needed:

1. Announce which and why
2. Run in parallel via Task tool (agents/ directory)
3. Synthesize findings
4. Optimize with gathered context

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Core Contract (every prompt needs all four)

| Element | If Missing | |---------|------------| | Role | Add persona with expertise | | Task | Make action specific | | Constraints | Infer from context | | Output | Specify format/structure |

Process

1. If image: Analyze, incorporate context
2. Detect type: coding/writing/analysis/creative/data
3. Convert output→process: "Write X" → "Analyze → Plan → Implement → Validate"
4. Strip fluff: "please", "I want you to", filler, apologies
5. Apply contract: Verify all 4 elements
6. Add structure: XML tags for complex prompts

Type Focus

• Coding: Specs, edge cases, framework
• Writing: Tone, audience, length
• Analysis: Criteria, depth
• Creative: Constraints, novelty
• Data: I/O format, edge cases

Output

1. Optimized prompt in code block
2. echo 'PROMPT' | pbcopy
3. 2-3 sentence explanation