Agent skill · AI & Agents

prompt-improver

This skill enriches vague prompts with targeted research and clarification before execution. Should be used when a prompt is determined to be vague and requires systematic research, question generation, and execution guidance.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill prompt-improver --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 6 KB
Bundled scripts: none
Path: skills/ai-llm/prompt-improver/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Prompt Improver Skill ## Purpose Transform vague, ambiguous prompts into actionable, well-defined requests through systematic research and targeted clarification. This skill is invoked when the hook has already determined a prompt needs enrichment. ## When This Skill is Invoked **Automatic invocation:** - UserPromptSubmit hook evaluates prompt - Hook determines prompt is vague (missing specifics, context, or clear target) - Hook invokes this skill to guide research and questioning **Manual invocation:** - To enrich a vague prompt with research-based questions - When building or testing prompt evaluation systems - When prompt lacks sufficient context even with conversation history **Assumptions:** - Prompt has already been identified as vague - Evaluation phase is complete (done by hook) - Proceed directly to research and clarification ## Core Workflow This skill follows a 4-phase approach to prompt enrichment: ### Phase 1: Research Create a dynamic research plan using TodoWrite before asking questions. **Research Plan Template:** 1. **Check conversation history first** - Avoid redundant exploration if context already exists 1. **Review codebase** if needed: - Task/Explore for arc

What's inside
Steps it walks through
  1. Purpose
  2. When This Skill is Invoked
  3. Core Workflow
  4. Phase 1: Research
  5. Phase 2: Generate Targeted Questions
  6. Phase 3: Get Clarification
  7. Phase 4: Execute with Context
  8. Examples
  9. Example 1: Skill Invocation → Research → Questions → Execution
  10. Example 2: Clear Prompt (Skill Not Invoked)
  11. Key Principles
  12. Progressive Disclosure
Ships with 1 file
  • metadata.json
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About this skill
What does the prompt-improver skill do?

This skill enriches vague prompts with targeted research and clarification before execution. Should be used when a prompt is determined to be vague and requires systematic research, question generation, and execution guidance.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill prompt-improver --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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