prompt-engineer
Optimize system prompts for Claude Code agents using proven prompt engineering patterns. Use when users request prompt improvement, optimization, or refinement for agent workflows, tool instructions, or system behaviors.
npx skills add majiayu000/claude-skill-registry --skill prompt-engineer-rjmurillo-ai-agents --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Prompt Optimizer Optimizes system prompts by applying research-backed prompt engineering patterns. Human-in-the-loop phases: understand, plan, propose changes, receive approval, then integrate. ## Purpose and Success Criteria A well-optimized prompt achieves: 1. **Behavioral clarity**: Agent knows exactly what to do in common cases and edge cases 2. **Appropriate scope**: Complex tasks get decomposition; simple tasks don't trigger overthinking 3. **Grounded changes**: Every modification traces to a specific pattern with documented impact Optimization is complete when: - Every change has explicit pattern attribution from the reference document - No section contradicts another section - The prompt matches its operating context (tool-use vs. conversational, token constraints) - Human has approved both section-level changes and full integration ## When to Use This Skill Use when the user provides a prompt and wants it improved, refined, or reviewed for best practices. Do NOT use for: - Writing prompts from scratch (different skill) - Prompts that are already working well and user just wants validation - Non-prompt content (documentation, code, etc.) ## Required Resources Before ANY a
- Purpose and Success Criteria
- When to Use This Skill
- Required Resources
- Single-Turn Reference (Always Read)
- Multi-Turn Reference (Conditional)
- Workflow Reference
- Quick Process
- Triage (Phase 0)
- Core Quality Principles
- Completion Checkpoint
- References
What does the prompt-engineer skill do?
Optimize system prompts for Claude Code agents using proven prompt engineering patterns. Use when users request prompt improvement, optimization, or refinement for agent workflows, tool instructions, or system behaviors.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill prompt-engineer-rjmurillo-ai-agents --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.