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AI & LLMs @tolibear Updated 2/26/2026

Promptify OpenClaw Skill - ClawHub

Do you want your AI agent to automate Promptify workflows? This free skill from ClawHub helps with ai & llms tasks without building custom tools from scratch.

What this skill does

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.

Install

npx clawhub@latest install promptify

Full SKILL.md

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promptifyOptimize 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.

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
Original URL: https://github.com/openclaw/skills/blob/main/skills/tolibear/promptify

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