domain-software-engineering SKILL.md skillA

domain-software-engineering from drayline/rootnode-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add drayline/rootnode-skills/domain-software-engineering@v6.0.0

Pins v6.0.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
drayline/rootnode-skills
Path
plugins/rootnode-prompts/skills/domain-software-engineering/SKILL.md
Versions recorded
2
Latest version
v6.0.0, committed Nov 3, 2026
First version recorded
Nov 1, 2026
Size
18,859 bytes
Repository stars
40
License
a license file GitHub does not identify

Specialized software engineering prompt methodology for Claude. Use when building prompts for system design, code review, incident response, security analysis, API design, architecture decisions, RFCs, ADRs, runbooks, or technical leadership. Trigger on: "build a prompt for code review," "system design prompt," "SRE prompt," "security review prompt," "incident response prompt," "API design prompt," "architecture decision prompt," "RFC prompt," "runbook prompt." Provides 11 tested approaches…

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

# Software Engineering Prompt Methodology

> **Calibration:** Tier 1 (Model-compatible) — runs cleanly on the current dual-primary tier (Opus 5.5, Sonnet 5.5) and on Haiku 5.5. Structured retrieval, rule evaluation, or template lookup — output shape does not depend on the model. Fallback-graceful on Opus 5 / Sonnet 5; legacy-graceful on Sonnet 4.6. See repository README for model compatibility.

Specialized approaches for building Claude prompts that handle software engineering tasks — reliability engineering, security analysis, code review, API design, performance analysis, threat modeling, and engineering document formats (RFCs, ADRs, runbooks, code review feedback).

**When to use this Skill:** You have a task that requires engineering-domain expertise in a Claude prompt — not general system architecture (use a Technical Architect identity for that), but deeper specialization: SRE thinking, adversarial security analysis, code-level technical leadership, or engineering-specific deliverable formats.

**What this Skill provides:**
- 3 identity approaches (SRE / Platform Engineer, Security Engineer, Staff+ Engineer / Tech Lead)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add drayline/rootnode-skills/domain-software-engineering@sha256:8f33592754d07927

The line at the top of this page pins the label v6.0.0, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_urkjxyyq7kbtujco.svg)](https://markdownregistry.com/a/art_urkjxyyq7kbtujco)

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

Versions

The registry has recorded 2 versions of this file, between Nov 1, 2026 and Nov 3, 2026, about one every 2 days.

versioncommittedcommitsizeaudit
v6.0.0 latest2026-11-03 7bd17b8 18,859 BA view · diff
v5.0.02026-11-01 f34b7ac 18,798 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 (18859 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

drayline/rootnode-skills · 40 stars · license a license file GitHub does not identify · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_urkjxyyq7kbtujco
GET https://markdownregistry.com/api/v1/resolve?ref=drayline/rootnode-skills/domain-software-engineering
GET https://markdownregistry.com/api/v1/blob/8f33592754d07927d6eee17e0a15a49370e2a15c7c73ef52490cd9fb98b40d90

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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