Agent skill · writing content · sundial-org

promptify

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.

Why this skill is useful

Provides structured methodologies and specific optimization techniques for prompt clarity that the AI wouldn't reliably generate on its own.

What it needs

About 1k tokens when loaded. Last updated 2026-03-07. 639 stars on the source repository.

What this skill does

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 --- 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

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills sundial-org/promptify

View the source on GitHub

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