Promptify Skill

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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":"✨"}}

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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