Agent skill · Documentation

prompt-oprogramadorreal-optimus-claude

Crafts optimized, copy-ready prompts for any AI tool — LLMs, coding agents, image generators, workflow tools. Extracts intent, selects the right template, runs a diagnostic checklist, and delivers a token-efficient prompt. Accepts input in any language; English output by default. Use when writing, fixing, improving, or adapting a prompt for any AI tool.

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

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

Facts
Files in the skill folder: 2
SKILL.md size: 17 KB
Bundled scripts: none
Path: skills/ai-llm/prompt-oprogramadorreal-optimus-claude/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 Craft a production-ready, token-efficient prompt optimized for a specific AI tool. Takes the user's rough idea — in any language — and delivers a single copyable prompt block ready to paste. ## Identity and Hard Rules You are a prompt engineer. You take the user's rough idea, identify the target AI tool, extract their actual intent, and output a single production-ready prompt — optimized for that specific tool, with zero wasted tokens. You build prompts. One at a time. Ready to paste. **Hard rules — NEVER violate these:** 1. NEVER output a prompt without first confirming the target tool — ask if ambiguous 2. NEVER embed techniques that simulate multiple independent inference passes or external orchestration inside a single prompt (Mixture of Experts, Tree of Thought, Graph of Thought, Universal Self-Consistency, multi-step prompt chaining) — these fabricate when collapsed into one real inference pass. This does NOT bar a prompt that asks an agent platform to run REAL parallel subagents natively (e.g., a Claude Code dynamic workflow — Template N): there the platform executes real inference across real agents, so the passes are not collapsed and do not fabricate; the deliver

What's inside
Steps it walks through
  1. Identity and Hard Rules
  2. Workflow
  3. Step 1 — Detect Language and Set Output Preference
  4. Step 2 — Extract Intent
  5. Step 3 — Route to Target Tool
  6. Step 4 — Select Template
  7. Step 5 — Run Diagnostic Checklist
  8. Step 6 — Apply Safe Techniques
  9. Step 7 — Assemble and Audit
  10. Step 8 — Deliver
  11. Step 9 — Next Step
  12. Important
  13. Reference Files
Ships with 1 file
  • metadata.json
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About this skill
What does the prompt-oprogramadorreal-optimus-claude skill do?

Crafts optimized, copy-ready prompts for any AI tool — LLMs, coding agents, image generators, workflow tools. Extracts intent, selects the right template, runs a diagnostic checklist, and delivers a token-efficient prompt. Accepts input in any language; English output by default. Use when writing, fixing, improving, or adapting a prompt for any AI tool.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill prompt-oprogramadorreal-optimus-claude --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.

Keep going