prompt-optimizer
Prompt analysis and optimization workflow for turning rough requests into clearer task prompts.
Skill by JunMystery
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/junmystery-prompt-optimizer
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: productivity, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/prompt-optimizer
What's inside
- Skill name
prompt-optimizer- Description
- Prompt analysis and optimization workflow for turning rough requests into clearer task prompts. Use when the user asks to improve or rewrite a prompt.
- License
- MIT
- Instructions
- 26 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Prompt Optimizer Use this skill when the request is about improving a prompt rather than executing the task directly. ## Trigger - User asks to rewrite or improve a prompt - User asks how to ask the model for a task - Prompt quality feels ambiguous or underspecified ## What to Apply - Extract intent, scope, constraints, and missing context. - Reframe the prompt into a clear task structure. - Recommend task-specific references when useful. ## Reference Files - [ai-agent-standards/prompts/PROMPT-TEMPLATE.md](../../ai-agent-standards/prompts/PROMPT-TEMPLATE.md) - [ai-agent-standards/prompts/indexed-by-category.md](../../ai-agent-standards/prompts/indexed-by-category.md) - [README.md](../../README.md) ## Output Expectation Return a ready-to-paste prompt and note any missing context that still matters.
From JunMystery/AI-Agent-Standards, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- May 24, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/JunMystery/AI-Agent-Standards
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
prompt-optimizer skill. Agent Mart. https://agentmart.dev/skills/junmystery-prompt-optimizer (last updated 2026-10-24)