senior-prompt-engineer SKILL.md skillA

senior-prompt-engineer from borghei/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add borghei/claude-skills/senior-prompt-engineer@v1.1.0

Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
borghei/claude-skills
Path
engineering/senior-prompt-engineer/SKILL.md
Versions recorded
5
Latest version
v1.1.0, committed Sep 27, 2026
First version recorded
Mar 21, 2026
Size
5,977 bytes
Repository stars
1,075
License
a license file GitHub does not identify

Prompt engineering and LLM evaluation. Use when optimizing prompts, designing prompt templates, evaluating LLM outputs, building agentic systems, implementing RAG, creating few- shot examples, or designing structured-output workflows.

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

# Senior Prompt Engineer

Prompt engineering patterns, LLM evaluation frameworks, and agentic system design. Provides static (deterministic) analysis tools to optimize prompts, evaluate RAG retrieval and generation quality, and validate/visualize agent workflows — plus deep reference libraries of prompt patterns, evaluation metrics, and agent architectures.

## Core Capabilities

- **Prompt optimization** — token counting and cost estimation, clarity/structure scoring, ambiguity and redundancy detection, and generation of optimized prompt versions.
- **Few-shot & structured output design** — extract/manage few-shot examples, design diverse example sets (simple/edge/complex/negative), and enforce reliable JSON/XML schema outputs.
- **RAG evaluation** — context relevance, answer faithfulness, groundedness (ROUGE-L), and retrieval metrics (Precision@K, MRR, NDCG) over pre-retrieved contexts.
- **Agentic system design** — validate agent configs, visualize flows (ASCII/Mermaid), estimate token cost per run, and apply ReAct / Plan-Execute / Tool-Use / multi-agent patterns.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add borghei/claude-skills/senior-prompt-engineer@sha256:949e5ce63f8b702a

The line at the top of this page pins the label v1.1.0, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_tcenx5ks5nhejamb.svg)](https://markdownregistry.com/a/art_tcenx5ks5nhejamb)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 5 versions of this file, between Mar 21, 2026 and Sep 27, 2026, about one every 48 days.

versioncommittedcommitsizeaudit
v1.1.0 latest2026-09-27 f317423 5,977 BA view · diff
v1.1.02026-06-17 8980a67 5,973 BA view · diff
v1.0.02026-06-17 0c19211 22,903 BA view · diff
v1.0.02026-03-30 6b5a5d8 23,025 BA view · diff
git:20260321.deb73d42026-03-21 deb73d4 22,790 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5977 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

GitHub

borghei/claude-skills · 1,075 stars · license a license file GitHub does not identify · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_tcenx5ks5nhejamb
GET https://markdownregistry.com/api/v1/resolve?ref=borghei/claude-skills/senior-prompt-engineer
GET https://markdownregistry.com/api/v1/blob/949e5ce63f8b702a54f415f85a312538740e5b4af5d040dba93ba8f630f3e9bc

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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