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Promptify Skill

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.
优化提示词以提升清晰度和效果。适用于用户说“改进这个提示词”、“优化我的提示词”、“让这更清晰”,或提供模糊/无结构提示词时。智能调度至子代理进行代码库研究、澄清问题或网络搜索。
tolibear
AI智能 clawhub v3.1.0 1 版本 99482 Key: 无需
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概述

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

TriggerSignals
------------------
codebase-researcher"this project", "our API", specific files/functions, "integrate", "extend", "refactor"
clarifierAmbiguous ("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)

ElementIf Missing
---------------------
RoleAdd persona with expertise
TaskMake action specific
ConstraintsInfer from context
OutputSpecify 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

版本历史

共 1 个版本

  • v3.1.0 当前
    2026-03-28 10:56 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

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