Individual skill
prompt-engineering-guidance
Team-level guidance for prompt engineering — standards, review processes, prompt libraries, versioning, and rollout practices. Use when standardizing how an organization writes and maintains prompts.
skills/prompt-engineering-guidance/SKILL.md
Source commit faf37c0859ebf627bfcb5225e8057d088691e0ae
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Not checked yet
- Last checked
- Nov 8, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 54
- Repository last updated
- Oct 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agents Repository topic
- ai-agents-automation Repository topic
- ai-skills Repository topic
- awesome Repository topic
- awesome-list Repository topic
- chatgpt Repository topic
- claude-skills Repository topic
- meta-ai Repository topic
- muse-ai Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 3,856 bytes
Read excerpt
# Prompt Engineering Guidance (Team Practice)
Individual prompt skill doesn't scale; teams need shared standards. This skill covers the
organizational side: conventions, review, libraries, versioning, and rollout — so prompts become
maintained assets instead of tribal knowledge.
## Overview
Treat prompts like code: they live in version control, go through review, have tests, and follow
style conventions. A prompt library gives teams reusable, vetted components (classifiers,
extractors, summarizers) instead of everyone reinventing them. Rollout practices — staging,
canary, rollback — apply because prompt changes are behavior changes. The goal is a team where
anyone can find, understand, and safely modify any prompt.