prompt-engineer SKILL.md skillA
prompt-engineer from rjmurillo/ai-agents is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add rjmurillo/ai-agents/prompt-engineer@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- rjmurillo/ai-agents
- Path
src/claude/skills/prompt-engineer/SKILL.md- Versions recorded
- 2
- Latest version
- v1.0.0, committed Sep 25, 2026
- First version recorded
- Sep 15, 2026
- Size
- 8,762 bytes
- Repository stars
- 49
- License
- MIT
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. Use when you say "optimize this prompt", "improve this system prompt", or "review my agent prompt".
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 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 ## Triggers | Trigger Phrase | Operation | |----------------|-----------| | `optimize this prompt` | Full Phase 0-4 optimization workflow | | `improve this system prompt` | Analyze and propose changes with visual cards | | `review my agent prompt` | Pattern-based review against reference | …
Read the whole file at its exact version.
How to install
mdr add rjmurillo/ai-agents/prompt-engineer@sha256:ff822386726ea55dThe line at the top of this page pins the label v1.0.0, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_62tf52m2k3zfmksw)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Sep 15, 2026 and Sep 25, 2026, about one every 10 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-09-25 | 3fda96c | 8,762 B | A | view · diff |
| v1.0.0 | 2026-09-15 | 23c3d5d | 8,470 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8762 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
rjmurillo/ai-agents · 49 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_62tf52m2k3zfmksw GET https://markdownregistry.com/api/v1/resolve?ref=rjmurillo/ai-agents/prompt-engineer GET https://markdownregistry.com/api/v1/blob/ff822386726ea55d61e8602ac4b7921b9d071b40499927fb6d10200107520b8f
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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